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.gitignore

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assets/logos/abc_company.png

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assets/logos/pqr_corp.png

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assets/logos/ucla.png

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assets/logos/xyz_corp.png

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assets/publications.bib

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··· 1 1 - @article{smith2020, 2 2 - author = {Smith, John}, 3 3 - title = {An Introduction to Data Analysis Techniques}, 4 4 - journal = {Journal of Data Science}, 5 5 - year = {2020}, 6 6 - volume = {15}, 7 7 - number = {2}, 8 8 - pages = {123-145}, 9 9 - } 10 10 - 11 11 - @inproceedings{jones2021, 12 12 - author = {Jones, Sarah and Brown, Michael}, 13 13 - title = {Exploratory Data Analysis for Predictive Modeling}, 14 14 - booktitle = {Proceedings of the International Conference on Data Science}, 15 15 - year = {2021}, 16 16 - pages = {256-267}, 17 17 - } 18 18 - 19 19 - @book{wilson2022, 20 20 - author = {Wilson, David}, 21 21 - title = {Machine Learning for Data Analysis}, 22 22 - publisher = {Springer}, 23 23 - year = {2022}, 24 24 - } 25 25 - 26 26 - @techreport{brown2023, 27 27 - author = {Brown, Emily}, 28 28 - title = {Data Visualization Techniques: A Comparative Study}, 29 29 - institution = {Technical Report}, 30 30 - year = {2023}, 31 31 - }

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cv.typ

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··· 1 1 // Imports 2 2 #import "@preview/brilliant-cv:4.0.1": cv 3 3 4 4 - // Each profile lives in its own folder with a self-contained metadata.toml. 5 5 - // Switch profile at compile time: 6 6 - // typst compile cv.typ --input profile=fr 7 4 #let profile = sys.inputs.at("profile", default: "en") 8 5 #let metadata = toml("profile_" + profile + "/metadata.toml") 9 6 ··· 21 18 // To use custom image icons in personal.info.custom-<name> entries, 22 19 // pass them here (keys must match the custom-<name> keys in metadata.toml): 23 20 // custom-icons: ( 24 24 - // "custom-cert": image("assets/my-icon.png"), 21 21 + // "custom-tangled": image("assets/avatar.png"), 25 22 // ), 26 23 ) 27 24 28 25 // Add, remove, or reorder modules to customize your CV content 29 26 #import-modules(( 27 27 + "professional", 28 28 + "skills", 30 29 "education", 31 31 - "professional", 32 30 "projects", 33 33 - "certificates", 34 34 - "publications", 35 35 - "skills", 31 31 + "volunteering", 36 32 ))

+5

justfile

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··· 1 1 + compile: 2 2 + typst compile cv.typ out/cv.pdf 3 3 + 4 4 + watch: 5 5 + typst watch cv.typ out/cv.pdf

-41

letter.typ

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··· 1 1 - // Imports 2 2 - #import "@preview/brilliant-cv:4.0.1": letter 3 3 - 4 4 - // Each profile lives in its own folder with a self-contained metadata.toml. 5 5 - // Switch profile at compile time: 6 6 - // typst compile letter.typ --input profile=fr 7 7 - #let profile = sys.inputs.at("profile", default: "en") 8 8 - #let metadata = toml("profile_" + profile + "/metadata.toml") 9 9 - 10 10 - 11 11 - #show: letter.with( 12 12 - metadata, 13 13 - // sender-address defaults to metadata.personal.address if set, or override here: 14 14 - sender-address: "123 Main St" + "\n" + "San Francisco, CA 94102", 15 15 - recipient-name: "Company Name Here", 16 16 - // Supports multiline addresses: 17 17 - recipient-address: "456 Market St" + "\n" + "New York, NY 10001", 18 18 - // date defaults to today; pass a string to override: 19 19 - date: datetime.today().display(), 20 20 - subject: "Subject: Hey!", 21 21 - signature: image("assets/signature.png"), 22 22 - // address-style: "normal", // use "normal" to disable smallcaps on addresses 23 23 - ) 24 24 - 25 25 - Dear Hiring Manager, 26 26 - 27 27 - I am excited to submit my application for the Senior Data Analyst position at ABC Company. With over 5 years of experience in data analysis and a demonstrated track record of success, I am confident in my ability to make a valuable contribution to your team. 28 28 - 29 29 - In my current role as a Data Analyst at XYZ Company, I have gained extensive experience in data mining, quantitative analysis, and data visualization. Through my work, I have developed a deep understanding of statistical concepts and have become adept at using tools such as SQL, Python, and R to extract insights from complex datasets. I have also gained valuable experience in presenting complex data in a visually appealing and easily accessible manner to stakeholders across all levels of an organization. 30 30 - 31 31 - I believe that my experience in data analysis makes me an ideal candidate for the Senior Data Analyst position at ABC Company. I am particularly excited about the opportunity to apply my skills to support your organization's mission and drive impactful insights. Your focus on driving innovative solutions to complex problems aligns closely with my own passion for using data analysis to drive positive change in organizations. 32 32 - 33 33 - In my current role, I have been responsible for leading data projects from initiation to completion. I work closely with cross-functional teams to identify business problems and use data to develop solutions that drive business outcomes. I have a proven track record of delivering high-quality work on time and within budget. 34 34 - 35 35 - Furthermore, I have extensive experience in developing and implementing data-driven solutions that improve business operations. For example, I have implemented predictive models that have improved sales forecasting accuracy by 10%, resulting in significant cost savings. I have also developed dashboards that provide real-time insights into business performance, enabling stakeholders to make more informed decisions. 36 36 - 37 37 - As a highly motivated and detail-oriented individual, I am confident that I would thrive in the fast-paced and dynamic environment at ABC Company. I am excited about the opportunity to work with a talented team of professionals and to continue developing my skills in data analysis. 38 38 - 39 39 - Thank you for considering my application. I look forward to the opportunity to discuss my qualifications further. 40 40 - 41 41 - Sincerely,

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profile_en/certificates.typ

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··· 1 1 - // Imports 2 2 - #import "@preview/brilliant-cv:4.0.1": cv-honor, cv-section 3 3 - 4 4 - 5 5 - #cv-section("Certificates & Awards") 6 6 - 7 7 - #cv-honor( 8 8 - date: [2022], 9 9 - title: [AWS Certified Security - Specialty], 10 10 - issuer: [Amazon Web Services (AWS)], 11 11 - url: "https://aws.amazon.com/certification/", 12 12 - location: [Online], 13 13 - ) 14 14 - 15 15 - #cv-honor( 16 16 - date: [2021], 17 17 - title: [Data Science Excellence Award], 18 18 - issuer: [XYZ Corporation], 19 19 - location: [San Francisco, CA], 20 20 - ) 21 21 - 22 22 - #cv-honor( 23 23 - date: [2020], 24 24 - title: [Applied Data Science with Python Specialization], 25 25 - issuer: [University of Michigan via Coursera], 26 26 - url: "https://coursera.org/specializations/data-science-python", 27 27 - location: [Online], 28 28 - ) 29 29 - 30 30 - #cv-honor( 31 31 - date: [2019], 32 32 - title: [Tableau Desktop Certified Professional], 33 33 - issuer: [Tableau Software], 34 34 - url: "https://www.tableau.com/learn/certification", 35 35 - ) 36 36 - 37 37 - #cv-honor( 38 38 - date: [2018], 39 39 - title: [SQL Fundamentals Track], 40 40 - issuer: [DataCamp], 41 41 - location: [Online], 42 42 - )

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profile_en/education.typ

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··· 5 5 #cv-section("Education") 6 6 7 7 #cv-entry( 8 8 - title: [Master of Data Science], 9 9 - society: [University of California, Los Angeles], 10 10 - date: [2018 - 2020], 11 11 - location: [USA], 12 12 - logo: image("../assets/logos/ucla.png"), 13 13 - description: list( 14 14 - [Thesis: Predicting Customer Churn in Telecommunications Industry using Machine Learning Algorithms and Network Analysis], 15 15 - [Course: Big Data Systems and Technologies #h-bar() Data Mining and Exploration #h-bar() Natural Language Processing], 16 16 - ), 17 17 - ) 18 18 - 19 19 - #cv-entry( 20 20 - title: [Bachelors of Science in Computer Science], 21 21 - society: [University of California, Los Angeles], 22 22 - date: [2014 - 2018], 23 23 - location: [USA], 24 24 - logo: image("../assets/logos/ucla.png"), 8 8 + title: [Bachelor of Science in Computer Science], 9 9 + society: [Purdue University], 10 10 + date: [2016 - 2020], 11 11 + location: [West Lafayette, IN], 12 12 + // logo: image("../assets/logos/ucla.png"), 25 13 description: list( 26 26 - [Thesis: Exploring the Use of Machine Learning Algorithms for Predicting Stock Prices: A Comparative Study of Regression and Time-Series Models], 27 27 - [Course: Database Systems #h-bar() Computer Networks #h-bar() Software Engineering #h-bar() Artificial Intelligence], 28 28 - [GPA: 3.8/4.0, Magna Cum Laude], 14 14 + [Tracks: Programming Languages, Systems Programming], 15 15 + [Programming Team Leader, Purdue SIGBots], 16 16 + [Electronics Team Leader, Purdue Formula SAE] 29 17 ), 30 30 - tags: ("Computer Science", "Machine Learning", "Statistics"), 18 18 + tags: ("Computer Science", "Systems Programming", "Compilers") 31 19 ) 32 20 33 33 - // Example with multiple date periods (study abroad program) 34 34 - #cv-entry( 35 35 - title: [Exchange Student Program], 36 36 - society: [Technical University of Munich], 37 37 - date: list( 38 38 - [Fall 2016], 39 39 - [Spring 2017], 40 40 - ), 41 41 - location: [Germany], 42 42 - description: list( 43 43 - [Specialized courses in Advanced Algorithms and Data Structures], 44 44 - [Research project on Distributed Computing Systems], 45 45 - ), 46 46 - )

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profile_en/metadata.toml

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··· 7 7 # the fields that differ. 8 8 9 9 # Italic tagline displayed below your name and contact info 10 10 - header_quote = "Experienced Data Analyst looking for a full time job starting from now" 10 10 + header_quote = "Software Engineer specializing in Rust seeking full-time Senior role" 11 11 12 12 # Text shown in the left side of the footer on CV pages 13 13 - cv_footer = "Curriculum vitae" 13 13 + # cv_footer = "Curriculum vitae" 14 14 15 15 # Text shown in the left side of the footer on cover letter pages 16 16 - letter_footer = "Cover letter" 16 16 + # letter_footer = "Cover letter" 17 17 18 18 [layout] 19 19 # Accent color used for section titles, icons, and highlights in the rendered PDF 20 20 # Preset: skyblue, red, nephritis, concrete, darknight — or any hex like "#1E90FF" 21 21 - awesome_color = "skyblue" 21 21 + awesome_color = "#700070" 22 22 23 23 # Controls vertical spacing; increase to spread out sections/entries, decrease to compact 24 24 before_section_skip = "1pt" ··· 28 28 before_entry_description_skip = "1pt" 29 29 30 30 # Page dimensions and margins applied to the PDF output. Possible values: a4 (default), us-letter 31 31 - paper_size = "a4" 31 31 + paper_size = "us-letter" 32 32 33 33 # Width of the right-side date column in entries. Tune per locale (zh 34 34 # benefits from ~4.7cm, fr from ~3.4cm, it from ~3.9cm). ··· 50 50 header_align = "left" 51 51 52 52 # false hides the photo and gives full width to name/info 53 53 - display_profile_photo = true 53 53 + display_profile_photo = false 54 54 # "50%" = circle, "0%" = square, "10%" = rounded corners 55 55 - profile_photo_radius = "50%" 55 55 + # profile_photo_radius = "50%" 56 56 # Font size for the contact-info line (email, phone, links) in the header 57 57 info_font_size = "10pt" 58 58 ··· 69 69 # "first-letters" (default) - first N letters in accent color, rest in black (Latin convention) 70 70 # "full" - the whole title in accent color (CJK / non-Latin convention) 71 71 # "none" - the whole title in black, no accent 72 72 - title_highlight = "first-letters" 72 72 + title_highlight = "full" 73 73 74 74 # Number of leading characters to render in accent color when 75 75 # title_highlight = "first-letters". Ignored for the other modes. 76 76 - title_highlight_letters = 3 76 76 + # title_highlight_letters = 3 77 77 78 78 [layout.footer] 79 79 # true shows "1/2" style page numbers in the footer 80 80 display_page_counter = false 81 81 82 82 # false removes the footer entirely (no page text, no counter) 83 83 - display_footer = true 83 83 + display_footer = false 84 84 85 85 86 86 [inject] ··· 88 88 # custom_ai_prompt_text = "Custom prompt text here..." # Uncomment to add a custom ATS prompt string 89 89 90 90 # Hidden keywords injected into PDF metadata for ATS keyword matching (invisible to readers) 91 91 - injected_keywords_list = ["Data Analyst", "GCP", "Python", "SQL", "Tableau"] 91 91 + injected_keywords_list = ["Software Engineer", "Rust", "PostgreSQL", "AWS"] 92 92 93 93 [personal] 94 94 # Your first name, displayed in the header 95 95 - first_name = "John" 95 95 + first_name = "Alex" 96 96 # Your last name, displayed in the header 97 97 - last_name = "Doe" 97 97 + last_name = "van de Sandt" 98 98 # (Optional) display_name overrides the Latin "first (light) + last (bold)" 99 99 # split with a single styled string. Use this for CJK profiles or any 100 100 # profile where the split treatment feels wrong: ··· 106 106 # Custom entries use a `custom-<descriptive-name>` key (e.g. custom-degree, 107 107 # custom-cert). Descriptive names keep `custom-icons:` mapping in cv.typ readable. 108 108 [personal.info] 109 109 - # Shown as clickable icon in header; auto-links to github.com/<value> 110 110 - github = "yunanwg" 111 111 - # Shown as phone icon in header; displayed as-is with a tel: link 112 112 - phone = "+33 6 12 34 56 78" 113 113 - # Shown as envelope icon in header; auto-links to mailto:<value> 114 114 - email = "john.doe@me.org" 115 115 - # Shown as clickable icon in header; auto-links to linkedin.com/in/<value> 116 116 - linkedin = "johndoe" 117 117 - # Shown as clickable icon in header; auto-links to gitlab.com/<value> 118 118 - gitlab = "yunanwg" 109 109 + github = "igneousflock" 110 110 + phone = "+1 (317) 318-5239" 111 111 + email = "me@alexvds.com" 112 112 + linkedin = "alexvds" 119 113 # Shown as clickable globe icon in header; auto-links to https://<value> 120 120 - homepage = "johndoe.dev" 121 121 - # Shown as ORCID icon in header; auto-links to orcid.org/<value> 122 122 - orcid = "0000-0000-0000-0000" 123 123 - # researchgate = "John-Doe" # Shown as a clickable ResearchGate icon in header 114 114 + homepage = "alexvds.com" 124 115 # Shown as map-marker icon in header; displayed as plain text (no link) 125 125 - location = "San Francisco, CA" 116 116 + location = "Chicago, IL" 126 117 # extraInfo = "Available for remote work" # Shown as extra text with an info icon in header 127 118 # Insert a line break in the header info, splitting icons across two lines 128 119 #linebreak = "" 129 120 130 121 # Custom info with awesome icon 131 131 - [personal.info.custom-degree] 132 132 - awesomeIcon = "graduation-cap" # See https://typst.app/universe/package/fontawesome/ 133 133 - # Display text shown next to the icon in the header 134 134 - text = "PhD in Data Science" 135 135 - # URL the icon/text links to; omit for non-clickable entries 136 136 - link = "https://www.example.com" 122 122 + [personal.info.custom-tangled] 123 123 + awesomeIcon = "code" # See https://typst.app/universe/package/fontawesome/ 124 124 + text = "igneousflock.dev" 125 125 + link = "https://tangled.org/igneousflock" 137 126 138 127 # Custom info with image icon 139 128 # To use a custom image icon, pass it via custom-icons in cv.typ: 140 129 # custom-icons: ("custom-cert": image("assets/my-icon.png")) 141 141 - [personal.info.custom-cert] 142 142 - awesomeIcon = "certificate" 143 143 - text = "AWS Certified" 144 144 - link = "https://aws.amazon.com/certification/" 130 130 + # [personal.info.custom-cert] 131 131 + # awesomeIcon = "certificate" 132 132 + # text = "AWS Certified" 133 133 + # link = "https://aws.amazon.com/certification/"

+33 -35

profile_en/professional.typ

Reviewed

··· 6 6 7 7 #cv-section("Professional Experience") 8 8 9 9 - #cv-entry-start( 10 10 - society: [XYZ Corporation], 11 11 - logo: image("../assets/logos/xyz_corp.png"), 12 12 - location: [San Francisco, CA], 13 13 - ) 14 14 - 15 15 - #cv-entry-continued( 16 16 - title: [Director of Data Science], 9 9 + #cv-entry( 10 10 + society: [Fieldwire by Hilti], 11 11 + // logo: image("../assets/logos/xyz_corp.png"), 12 12 + date: [July 2022 - April 2026], 13 13 + location: [Chicago, IL (Remote)], 14 14 + title: [Software Engineer III], 17 15 description: list( 18 18 - [Lead a team of data scientists and analysts to develop and implement data-driven strategies, develop predictive models and algorithms to support decision-making across the organization], 19 19 - [Collaborate with executive leadership to identify business opportunities and drive growth, implement best practices for data governance, quality, and security], 16 16 + [Architected a high-throughput event streaming system using Rust and AWS Kinesis to support an Audit Log and Webhooks system for real-time data processing], 17 17 + [Overhauled self-checkout billing services to support new payment processors and internal lead-tracking systems, improving visibility for enterprise sales leads and centralizing control of new and existing revenue], 18 18 + [Led maintenance on a 200k LOC Rust repository, keeping dependencies up to date and improving internal tooling to accelerate development for cross-functional teams], 19 19 + [Built webapp- and customer-facing APIs with Axum and Ruby on Rails to support billing, authentication, and user management across multiple regions for 100k active users], 20 20 + [Continuously refactored existing API flows to reduce database query volume by more than 10x, greatly improving service availability and eliminating failed API calls], 20 21 ), 21 21 - tags: ("Dataiku", "Snowflake", "SparkSQL"), 22 22 + tags: ("Rust", "Ruby on Rails", "PostgreSQL", "Kinesis", "DynamoDB"), 23 23 + ) 24 24 + 25 25 + #cv-entry-start( 26 26 + society: [Honeywell], 27 27 + // logo: image("../assets/logos/abc_company.png"), 28 28 + location: [Atlanta, GA (Hybrid)], 22 29 ) 23 30 24 31 #cv-entry-continued( 25 25 - title: [Data Scientist], 26 26 - date: [2017 - 2020 #linebreak() 2021 - 2022], 32 32 + title: [Software Engineer], 33 33 + date: [August 2020 - June 2022], 27 34 description: list( 28 28 - [Analyze large datasets with SQL and Python, collaborate with teams to uncover business insights], 29 29 - [Create data visualizations and dashboards in Tableau, develop and maintain data pipelines with AWS], 30 30 - ), 35 35 + [engineering stuff] 36 36 + ) 31 37 ) 32 38 33 33 - #cv-entry( 34 34 - title: [Data Analyst], 35 35 - society: [ABC Company], 36 36 - logo: image("../assets/logos/abc_company.png"), 37 37 - date: [2017 - 2020], 38 38 - location: [New York, NY], 39 39 + #cv-entry-continued( 40 40 + title: [Software Engineering Intern], 41 41 + date: "Summer 2019", 39 42 description: list( 40 40 - [Analyze large datasets with SQL and Python, collaborate with teams to uncover business insights], 41 41 - [Create data visualizations and dashboards in Tableau, develop and maintain data pipelines with AWS], 42 42 - ), 43 43 + [intern stuff] 44 44 + ) 43 45 ) 44 46 45 47 #cv-entry( 46 46 - title: [Data Analysis Intern], 47 47 - society: [PQR Corporation], 48 48 - logo: image("../assets/logos/pqr_corp.png"), 49 49 - date: list( 50 50 - [Summer 2017], 51 51 - [Summer 2016], 52 52 - ), 53 53 - location: [Chicago, IL], 48 48 + society: [Clear Software], 49 49 + title: [Software Intern], 50 50 + location: [Zionsville, IN], 51 51 + date: "Summer 2017", 54 52 description: list( 55 55 - [Assisted with data cleaning, processing, and analysis using Python and Excel, participated in team meetings and contributed to project planning and execution], 56 56 - ), 53 53 + [intern stuff] 54 54 + ) 57 55 )

+26 -26

profile_en/projects.typ

Reviewed

··· 2 2 #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section 3 3 4 4 5 5 - #cv-section("Projects & Associations") 5 5 + #cv-section("Personal Projects") 6 6 7 7 #cv-entry( 8 8 - title: [Volunteer Data Analyst], 9 9 - society: [ABC Nonprofit Organization], 10 10 - date: [2019 - Present], 11 11 - location: [New York, NY], 8 8 + title: [Rust library], 9 9 + society: [`arctictis`], 10 10 + location: [ 11 11 + #link("https://tangled.org/igneousflock.dev/arctictis")[`igneousflock/arctictis`] 12 12 + ], 13 13 + date: [2026], 12 14 description: list( 13 13 - [Analyze donor and fundraising data to identify trends and opportunities for growth], 14 14 - [Create data visualizations and dashboards to communicate insights to the board of directors], 15 15 - [Collaborate with other volunteers to develop and implement data-driven strategies], 16 16 - [Increased donation efficiency by 25% through predictive modeling], 15 15 + [Program Uniden radio scanners through the serial interface], 16 16 + [Written with `tokio`], 17 17 + [Relies heavily on the macro system to abstract away protocol details], 17 18 ), 18 18 - tags: ("Volunteer Work", "Non-profit", "Social Impact"), 19 19 ) 20 20 21 21 #cv-entry( 22 22 - title: [Open Source Contributor], 23 23 - society: [Python Data Science Libraries], 24 24 - date: [2018 - Present], 25 25 - location: [Remote], 22 22 + title: [Rust library], 23 23 + society: [`candid`], 24 24 + date: [2019], 25 25 + location: [ 26 26 + #link("https://tangled.org/igneousflock.dev/candid-rs")[`igneousflock/candid-rs`] 27 27 + ], 26 28 description: list( 27 27 - [Contributed to pandas, scikit-learn, and matplotlib projects], 28 28 - [Fixed bugs, improved documentation, and added new features], 29 29 - [Mentored new contributors during Google Summer of Code], 29 29 + [Relay Controller-Area Network (CAN) bus messages over a network], 30 30 + [Built for the Purdue Formula SAE team to debug vehicle telemetry], 30 31 ), 31 31 - tags: ("Open Source", "Python", "Community"), 32 32 ) 33 33 34 34 #cv-entry( 35 35 - title: [Machine Learning Research Project], 36 36 - society: [Personal Project], 37 37 - date: [Summer 2020], 38 38 - location: [Remote], 35 35 + title: [Utility], 36 36 + society: [Fuel Calculator], 37 37 + date: "", 38 38 + location: [ 39 39 + #link("https://fuel.avandesa.dev") 40 40 + ], 39 41 description: list( 40 40 - [Developed a novel approach to time series forecasting using transformer architectures], 41 41 - [Published research paper and open-sourced implementation on GitHub], 42 42 - [Achieved 15% improvement over baseline models on benchmark datasets], 42 42 + [Tiny React app to calculate how much fuel to save in a racing sim], 43 43 ), 44 44 - tags: ("Research", "Deep Learning", "Time Series"), 45 44 ) 45 45 +

-24

profile_en/publications.typ

Reviewed

··· 1 1 - // Imports 2 2 - #import "@preview/brilliant-cv:4.0.1": cv-publication, cv-section 3 3 - 4 4 - 5 5 - #cv-section("Publications") 6 6 - 7 7 - // Example 1: Selected publications with custom style 8 8 - #cv-publication( 9 9 - bib: bibliography("../assets/publications.bib"), 10 10 - key-list: ( 11 11 - "smith2020", 12 12 - "jones2021", 13 13 - "wilson2022", 14 14 - ), 15 15 - ref-style: "ieee", 16 16 - ref-full: false, 17 17 - ) 18 18 - 19 19 - // Example 2: All publications with APA style (commented out to avoid duplication) 20 20 - // #cv-publication( 21 21 - // bib: bibliography("../assets/publications.bib"), 22 22 - // ref-style: "apa", 23 23 - // ref-full: true, 24 24 - // )

+5 -27

profile_en/skills.typ

Reviewed

··· 6 6 7 7 #cv-section("Skills") 8 8 9 9 - #cv-skill-with-level( 9 9 + #cv-skill( 10 10 type: [Languages], 11 11 - level: 4, 12 12 - info: [English (Native) #h-bar() French (Fluent) #h-bar() Chinese (Conversational)], 13 13 - ) 14 14 - 15 15 - #cv-skill-with-level( 16 16 - type: [Programming], 17 17 - level: 5, 18 18 - info: [Python #h-bar() SQL #h-bar() R], 11 11 + info: [Rust #h-bar() Ruby #h-bar() SQL #h-bar() Nix #h-bar() TypeScript], 19 12 ) 20 13 21 14 #cv-skill( 22 15 type: [Tech Stack], 23 23 - info: [Tableau #h-bar() Snowflake #h-bar() AWS #h-bar() Docker #h-bar() Git], 24 24 - ) 25 25 - 26 26 - #cv-skill( 27 27 - type: [Frameworks & Libraries], 28 28 - info: [Pandas #h-bar() NumPy #h-bar() Scikit-learn #h-bar() TensorFlow #h-bar() FastAPI], 16 16 + info: [PostgreSQL #h-bar() AWS DynamoDB #h-bar() AWS Kinesis #h-bar() Git #h-bar() NixOS], 29 17 ) 30 18 31 31 - // Skill tags example 32 19 #cv-skill( 33 33 - type: [Certifications], 34 34 - info: [ 35 35 - #cv-skill-tag([AWS Certified]) 36 36 - #cv-skill-tag([Google Analytics]) 37 37 - #cv-skill-tag([Tableau Desktop]) 38 38 - #cv-skill-tag([Scrum Master]) 39 39 - ], 20 20 + type: [Frameworks], 21 21 + info: [Tokio #h-bar() Axum #h-bar() sqlx #h-bar() Ruby on Rails], 40 22 ) 41 23 42 42 - #cv-skill( 43 43 - type: [Personal Interests], 44 44 - info: [Swimming #h-bar() Cooking #h-bar() Reading #h-bar() Photography], 45 45 - )

+17

profile_en/volunteering.typ

Reviewed

··· 1 1 + // Imports 2 2 + #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section 3 3 + 4 4 + 5 5 + #cv-section("Volunteer Work") 6 6 + 7 7 + #cv-entry( 8 8 + title: [Point-Count Surveyor], 9 9 + society: [Bird Conservation Network], 10 10 + date: [June 2026], 11 11 + location: [Chicago, IL], 12 12 + description: list( 13 13 + [] 14 14 + ), 15 15 + tags: ("Volunteer Work", "Non-profit", "Social Impact"), 16 16 + ) 17 17 +