Resume

Education

Georgia Institute of Technology

Expected May 2028

B.S. in Computer Science · GPA 3.94 / 4.0

• •Threads: Systems & Architecture, Intelligence
• •Honors: Presidential Scholar, Zell Miller Scholar, Dean’s List
• •Relevant coursework: Data Structures, Algorithms, Computer Organization, AI, Machine Learning, Database

Experience

• NCR Atleos

  May 2026 – August 2026

  Software Engineer Intern · Atlanta, GA

  • •Built a Graph RAG query system for the Data & AI Team on Microsoft Fabric using LangChain, Neo4j, and LLM-generated Cypher queries, reducing agent response latency 70% and improving answer accuracy 50%
  • •Developed an agentic schema-recommendation engine with Azure OpenAI that profiled raw SQL tables and generated Power BI-ready semantic models, reducing setup time ~60% and automating schema scaffolding
  • •Architected a Neo4j-backed data layer integrating 5+ internal data sources and 10M+ relationships into a unified graph backend, reducing multi-hop retrieval latency 50%

  Neo4j · LangChain · Azure OpenAI · Microsoft Fabric · Graph RAG

• Convention Connection

  December 2025 – July 2026

  Software Engineer Intern · Atlanta, GA

  • •Engineered an AI-powered image processing pipeline using OpenCV and FastAPI to automate card photo cropping, reducing manual processing time by 75% and managing 1,000+ images via Google Photos API on GCP
  • •Built a Python pricing engine with real-time marketplace bid monitoring, automating valuation across inventory
  • •Built a trade matching engine with weighted scoring across grade, set, and company to rank comparable sales

  OpenCV · FastAPI · Python · GCP · Google Photos API

• Algoverse AI

  September 2025 – March 2026

  AI Researcher · Palo Alto, CA

  • •Developed a novel multi-task benchmark evaluating LLMs' vision-based capabilities on geolocation reasoning and tool use; designed spatial reasoning evaluations and submitted the work to COLM 2026
  • •Automated collection and validation of 300+ geolocation samples using Python, Selenium, and the GSV API
  • •Productionized the research codebase with CI/CD and 50+ automated tests and type checks, reducing setup time 20% and enabling one-command reproducible evaluation

  Python · Selenium · Street View API · CI/CD · LLMs

  Read the research paper →

Projects

• Polymarket HFT Bot: Low Latency Systems

  April 2026

  C++23 · Python · PyTorch · pybind11 · Goldsky

  • •Engineered a high-frequency trading framework in C++ and Python targeting Polymarket BTC 15-minute prediction markets, integrating Polymarket CLOB API and Goldsky for real-time on-chain market data ingestion
  • •Implemented cross-venue arbitrage detection across Polymarket, Kalshi, and Binance using a Log-Normal probability model with a PPO reinforcement learning agent and LSTM actor-critic network built in PyTorch
  • •Bridged C++23 execution engine with Python ML inference via pybind11 for sub-millisecond order routing

• Switch: AI Model Routing Platform

  February 2026

  TypeScript · Next.js · pgvector · LangGraph

  • •Launched an AI model-router that directs prompts to the best-fit model for each task, serving 1,000+ users
  • •Built and fine-tuned a prompt-routing classifier that split traffic 70/30 between economy and premium models; unified 4 provider APIs behind middleware for consistent streaming, model fallback, and request handling
  • •Engineered Cortex, a persistent memory system using Supabase PostgreSQL and pgvector, enabling low-latency semantic retrieval of user context and conversation history supporting 13K+ daily database requests across LLMs

All Projects, more details

Technical skills

Languages

Python, Java, C++, TypeScript, JavaScript, SQL, Linux

AI Tools

LangChain, LangGraph, Agno Agent, Claude Code, Azure OpenAI, pgvector, MCP, Antigravity, GitHub Copilot

Frameworks

React, Next.js, FastAPI, Django, PyTorch, Node.js, D3.js, Spring Boot

Tools & Libraries

Git, Docker, CI/CD, AWS, Vercel, Neo4j, PostgreSQL, Supabase, Redis, OpenCV, pybind11