Backend engineer focused on async systems, scalable APIs, and intelligent applications.

About

• Backend engineer focused on async systems and API infrastructure, building things that prioritize reliability, clean architecture, and real-world correctness.
• Built production-grade async task pipelines using Celery and Redis: parallel LLM workflows, idempotent result persistence, automatic retries, and fire-and-poll APIs backed by PostgreSQL.
• Designed and shipped REST APIs across auth, data processing, and ML integration: 21-endpoint FastAPI backend with JWT auth, RBAC, refresh token rotation, and bcrypt hashing.
• Experienced in integrating ML models and LLM pipelines into backend systems: Random Forest ensembles for risk scoring and LangGraph state machines for agentic research workflows.
• Comfortable shipping across the stack when needed, but most interested in backend architecture, async systems, and AI-backend integration problems.
• Participated in Mumbai Hacks 2025 with 3500+ participants, building an end-to-end misinformation detection system with LLM-based classification under time pressure.