Building reliable AI systems, developer tools, and production-oriented ML applications.
Computer Science @ Georgia Tech, focused on AI/ML Engineering and Software Engineering.
I build systems around LLMs, ML evaluation, retrieval, and developer tooling, with an emphasis on making AI systems reliable and deployable.
Machine Translation Quality Assessment · 2025
- Built an ML-based QA pipeline for 300K+ multilingual strings using semantic similarity, COMET, rule-based validation, and LLM evaluation.
- Reduced human QA workload by 87% while improving quality assessment performance by approximately 67%.
- Runner-up, Fasoo Fix Day.
Tableau Copilot / Research Data Analytics
- Built a natural-language AI Copilot for Tableau dashboards using metadata parsing, embeddings, and RAG.
- Developed pipelines for dashboard understanding, Q&A, and automatic visualization generation.
Fine-tuned code model + static analysis for pull request risk assessment and triage.
Georgia Tech assistant built with controlled agentic RAG, hybrid retrieval, and structured course data.
Developer tooling for improving programming and software engineering workflows.
Languages · Python · C · C++ · Java · JavaScript
AI / ML · PyTorch · TensorFlow · Hugging Face · scikit-learn · RAG · LLM Evaluation
Backend / Data · FastAPI · PostgreSQL · Docker · Git
Web / App · React · Node.js · Flutter