I’m a dual major in Computer Science and Mathematics with a minor in Artificial Intelligence. I have a strong passion for technology and problem-solving, and I enjoy using analytical thinking to tackle complex challenges and build practical solutions.
| Skill | Highlight Project |
|---|---|
| Multi-Agent Systems & Orchestration | MRASR – Multistep Reasoning Agent |
| LLM Evaluation & Benchmarking | LLM Evaluation Framework |
| RAG Pipelines (Local/Offline) | LLM PDF Analyzer • Movie Review Q&A • Pizza Review Bot |
| ML & Model Interpretability | Weather Image Classifier (TensorFlow + Grad-CAM) |
| Data Science & Statistical Modeling | OBP Prediction Project |
| Algorithms & Data Structures | Trees • Algorithm Optimization |
| Web Development & Simulations | Timer Diffusion |
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MRASR – Multistep Reasoning Agent with State & Recovery
Autonomous agent system with planning, persistent state, recovery logic, and React dashboard. -
LLM Evaluation Framework
FastAPI + React framework for benchmarking LLMs across accuracy, hallucination, cost, and performance. -
Prompt Refiner
Multi-agent system (CrewAI + Flask) for refining raw ideas into structured, validated prompts. -
LLM PDF Analyzer
Local RAG app for PDF Q&A with chunking, Chroma indexing, and Ollama embeddings. -
Weather Image Classifier
95% accuracy TensorFlow classifier with Grad-CAM interpretability. -
Local RAG Demo (Movie Reviews) Lightweight offline QA bots over CSV review datasets with Ollama + Chroma.
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OBP Prediction Project
Statistical modeling in baseball analytics.