Snapshot
- EducationJunior, BS CS + Data Science Double Major (2027)
- FocusAI Engineering · Backend Systems · Data Pipelines · Product Delivery
- TechTypeScript · Python · Node.js
- Work Auth (US)Yes
- SponsorshipYes (future)
Portfolio
UW-Madison CS + Data Science student building AI products, backend systems, and developer tooling. I turn prototypes into product-grade demos across full-stack apps, automation pipelines, and computer vision workflows.
UW-Madison BS double major in Computer Science and Data Science, maintaining a 3.91 GPA and graduating in May 2027.
7+
Featured Projects
3+
Years Experience
5 roles across data, research, and operations (Jun 2024 - Aug 2025). Source: LinkedIn
May 2025 - Aug 2025 · 3 months · Madison, WI
Dec 2024 - Feb 2025 · 2 months
Assisted in a national-level research project examining talent allocation mechanisms for key strategic technologies, with data collection, comparative policy analysis, and report drafting support.
Oct 2024 - Dec 2024 · 2 months · United States
Built Python automation for IRS nonprofit data collection and processed large volumes into a structured grants database.
Aug 2024 - Oct 2024 · 2 months · Chicago, IL
Collected and analyzed data using Excel, SQL, and Python, then delivered process improvements through automation and reporting.
Jun 2024 - Sep 2024 · 3 months
Conducted North American Asian dining market research and delivered data-backed insights using Python and Excel.
Led full-stack delivery with Next.js/TypeScript/Node.js/PostgreSQL as project lead. Built AI-assisted document processing workflows and LLM-integrated product features.
Built Python data ingestion pipelines (BeautifulSoup/Requests/Pandas) and processed 50,000+ records.
Shipping practical AI + developer tools. Local LLM usability, benchmarking, and product-focused engineering.
Tech: Gemini Live, multimodal voice interaction, dynamic visuals. Impact: Delivered a production-style real-time storytelling demo with turn-based gameplay and live agent responses.
Last updated: 2026-03-16 16:44 UTC
Tech: Next.js, React, Python, FastAPI, Google Gemini, Google Maps, group preference ranking. Impact: Built an AI-assisted restaurant discovery product that blends friend preferences, location, and natural language search into explainable local recommendations.
Last updated: 2026-04-11
Tech: multi-agent orchestration, desktop workflows, research tooling. Impact: Enabled coordinated agent pipelines for practical research and writing tasks beyond single-prompt demos.
Last updated: 2026-03-14 07:55 UTC
Tech: Python, computer vision, player tracking, pose overlays, shuttle recovery. Impact: Produced stable 2-player badminton visualizations and demo-ready match analysis outputs with more impressive visual storytelling.
Last updated: 2026-03-27
Tech: LLM tracing, latency logging, cost analytics. Impact: Made experiments easier to debug and optimize with visibility into failures, latency, and spend.
Last updated: 2026-03-16 15:33 UTC
Tech: benchmarking, economic tracking, operations dashboarding. Impact: Combined AI coworker workflows and paper-trading operations into one production-oriented interface.
Last updated: 2026-03-19 10:10 UTC
Selected projects focused on AI tooling, practical product delivery, and deployable engineering.
Google certificate focused on applying AI for research workflows, insight generation, and practical knowledge work acceleration.
Demonstrates data analysis fundamentals with analytics workflows and Python-based problem solving.
Foundational AI certificate covering practical use of modern AI tools and core concepts for applied engineering and productivity.
Validates practical experience building applications with Anthropic APIs and production-oriented AI integration patterns.
Focuses on AI frameworks, foundational concepts, and structured understanding of how modern AI systems are built and used.
Highlights understanding of model strengths, constraints, and practical AI evaluation for real-world engineering decisions.
Introductory Anthropic certification covering Claude workflows, prompting patterns, and agent-oriented practical usage.
Shows familiarity with deploying and using Claude through Google Vertex AI, including cloud AI integration workflows.
Latest certificates are shown first. Source of truth is LinkedIn, and older certificates can be paged through.
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