B.S. Computer Science (Spec. Intelligent Systems)

Minor: Innovation and Entrepreneurship

Coursework

• Machine Learning & Data Mining
• Artificial Intelligence
• Applied Probability for CS
• Computer Vision
• AI in Biomedicine
• Design & Analysis of Algorithms
• Information Retrieval
• Data Management
• System Design

• Built human-review approval workflows, in-app preview cards, an admin page for prompt versioning, and a PowerPoint connector for an internal AI platform that converts client meeting transcripts into structured automation opportunities and solutions.
• Produced Risk, Value, and Change executive summaries from client discovery calls, supporting enterprise AI adoption assessments.
• Currently integrating Sage Intacct's MCP server to connect ERP financial data into agentic AI workflows for client engagements.

• Built a standalone compliance MCP server, decoupling the agent from platform infrastructure and standardizing MCP development.
• Deployed the MCP server to Emergence's CRAFT platform, a natural-language interface for enterprise agent workflows.
• Implemented API auth, health and logs endpoints, and Dockerized configs to unify local, staging, and production deployments.
• Standardized Markdown rendering pipelines, improving reliability and reducing latency across multiple connector agents.

• Extracted and structured medical codes from healthcare PDFs to build a unified dataset for downstream AI workflows.
• Refined LangChain prompt pipelines for CPT↔ICD-10 relevance mapping, improving output consistency and accuracy.
• Labeled and validated hundreds of healthcare documents in Label Studio to strengthen LLM evaluation datasets.
• Delivered code-usage insights informing high-impact billing group selection and claims-evaluation model improvements.

• Refined demographic datasets with Pandas, improving data quality for credit risk modeling pipelines across 3000+ counties.
• Engineered economic and demographic features that enhanced underwriting accuracy and model interpretability.
• Analyzed county risk patterns and delivered actionable insights, informing lending probability and credit modeling decisions.
• Built reproducible analysis workflows that stabilized risk models and streamlined future data updates.

• Full-stack receipt-tracking app using Claude's vision API to extract items and compute return and warranty deadlines against a self-researched policy database covering 70+ policies across 50 retailers.
• Implemented multi-user auth, automated email reminders via cron jobs, and unit-tested deadline logic; deployed on Vercel.

• Next.js
• TypeScript
• PostgreSQL
• Prisma
• Anthropic API
• Clerk

• Full-stack multi-sport recruiting platform with AI resume generation, coach outreach emails, and vector-based college matching.
• Engineered a browser-based highlight video compiler with FFmpeg.wasm for client-side stitching and Google Drive MCP export.

• Next.js
• TypeScript
• FastAPI
• PostgreSQL
• Clerk
• Anthropic API

• A calm, minimal daily-learning tracker: log one thing you learned each day, graded via the Anthropic API.

• Next.js
• Tailwind
• Anthropic API

• An independent auditor comparing Kalshi prediction-market pricing against traditional sportsbook odds, detecting divergences and grading its own calibration accuracy over time.

• Python
• FastAPI
• PostgreSQL
• Prefect
• httpx
• Docker

• Managed a $50,000+ budget for 50+ members; prepared financial models and reports for chapter leadership.
• Raised $7,000 for a Military Heroes philanthropy campaign and planned chapter events, negotiating venue and vendor contracts.