Seattle, Washington, United States
Full Stack Engineer with 4+ years of experience building and shipping production-grade web applications across healthcare, semiconductor, and consumer tech industries. Currently at Tachin.ai, where I architected a full-stack healthcare platform from the ground up — including API design, database schema, auth/RBAC systems, and frontend UI — reducing manual administrative work by 70%. My core stack includes React, Next.js, TypeScript, Python, and cloud platforms (AWS, GCP, Firebase). I specialize in building scalable systems, data pipelines, and AI-integrated workflows. M.S. in Electrical & Computer Engineering, University of Washington (GPA: 3.98) — Graduated June 2025. Always open to connecting with engineers, recruiters, and teams working on impactful products.
Architected and delivered a full-stack healthcare platform connecting doctors and insurance companies, including API design, database schema, auth/RBAC system, and frontend UI, reducing manual administrative work by 50%. Streamlined manual data entry tasks for doctor offices with a fully automated data ingestion pipeline (Python/Node.js), featuring delta detection and idempotent batch update, eliminating manual data copying from spreadsheets. Reduced doctor churn from healthcare platform by reducing API latency by 65% and reliability by 25% via pagination strategy, local caching, and adaptive retry mechanisms for unstable clinical networks. Improved development turnaround on product iterations by 2-3x by developing an automated prototype generation pipeline using Claude Opus 4.6, n8n, and Vercel with full CI/CD. Built a scalable data visualization framework in React with windowed virtualization, pinned columns, custom sort comparators, and role-based access control view logic which was reusable across healthcare product offerings.
Architected a real-time analytics platform for chip wafer quality using Python, SQL, and ETL pipelines, enabling low-latency metric computation and reducing reporting time by 30%. Designed and automated backend workflows for KPI aggregation, anomaly detection, and system health monitoring, improving operational visibility across distributed systems. Optimized database performance through index tuning, query plan refactoring, batching strategies, and in-memory caching, increasing data throughput under peak load by 2–3x.
Built a React-based physician chatbot on GCP integrated with OpenAI GPT API, enabling real-time medical query responses and reducing clinician search time by 30%. Fine-tuned and optimized GPT models using domain-specific medical literature and PDFs with prompt engineering, improving diagnostic response accuracy for Sickle Cell Disease clinical workflows. Designed and implemented end-to-end chat UI in React, translating Figma prototypes into production-ready components with focus on clinical user experience.
Developed scalable, modular automated test regression suites using Python and Selenium, increasing execution efficiency and reducing end-to-end runtime by 50%. Implemented monitoring and verification scripts to validate API reliability, detecting failures, contract mismatches, and latency anomalies across micro-service integrations. Performed root-cause analysis by inspecting server logs, API traces, and integration points, identifying upstream defects and improving overall test coverage.