Pursuing advanced graduate studies at the intersection of AI, security, and product innovation. Researching adversarial robustness, scalable distributed systems, and the business impact of AI. Collaborating with leading faculty and industry partners to drive real-world adoption of cutting-edge research.

As Founding Engineer, architected and scaled the world’s leading API testing platform (10M+ installs). Built a secure SSO system (OAuth2/Okta/Google), a Node.js mock server for financial APIs, and a high-performance Swagger-to-OpenAPI 3.0 converter. Led the gRPC testing interface and implemented intelligent endpoint autocompletion. On the AI/infra side, designed an LLM-based documentation synthesis engine (RAG) to reduce hallucination in API specs and implemented semantic search (SBERT/FAISS) for developer docs.

Engineered adversarial safety classifiers (BERT/XGBoost) to detect non-compliant and risk-prone language in internal comms, focusing on OOD robustness to reduce false positives in financial news feeds. Improved risk monitoring accuracy by 45% using empirical evaluation. Also designed and deployed a Dockerized, real-time transaction monitoring platform (Python/SQL), built scalable data pipelines for 1M+ daily logs, and launched a React/Chart.js GitHub productivity dashboard, reducing dev cycle time by 15%.