backend & ai engineer building high-performance APIs, asynchronous pipelines, and autonomous agent workflows in Go, Python, and Rust.
- async architecture: event-driven message queues and background worker pipelines using RabbitMQ and Redis.
- systems & streams: low-latency services and stream processing in Rust using Redis Streams.
- apis & microservices: serverless edge endpoints on Cloudflare Workers and containerized services on GCP Cloud Run.
- voice & audio: biometric voice authentication with anti-replay liveness and audio transcription pipelines (SpeechBrain, Whisper).
- agent workflows: multi-agent orchestration, state machines with human-in-the-loop checkpoints, and tool calling.
- rag & retrieval: semantic document retrieval pipelines with vector databases (ChromaDB) and grounded LLM reasoning.
Voice AI & Audio Systems Inference Engineering Agentic AI Workflows Developer Automation
- async by default: heavy model calls and background jobs belong on message queues, keeping APIs fast.
- deterministic guardrails: autonomous agents fail silently without strict schema validation, timeouts, and fallbacks.
- languages: Go, Python, Rust, TypeScript, SQL
- backend & queues: FastAPI, Hono, Node.js, Express, Celery, RabbitMQ, Redis, REST, gRPC
- ai & agents: LangGraph, Google ADK, LangChain, ChromaDB, Gemini, SpeechBrain, Whisper
- databases & caching: PostgreSQL, Redis, MongoDB, MySQL, SQLite / Turso, SQLC, Prisma
- cloud & devops: Docker, Cloudflare Workers / R2, GCP (Cloud Run, GCE), AWS (S3), GitHub Actions, Linux
🥇 Breakthrough Concept Award Google Agentic AI Day (Google Cloud × Hack2Skill) 2025
🥇 Winner CodeXCaliber, IIIT Nagpur 2025
🥈 Finalist SAP HackFest 2024
🥇 National Winner Smart India Hackathon (SIH) 2023Total Time: 16 hrs 40 mins
Python 11 hrs 50 mins █████████████████▒░░░░░░░ 68.81 %
Docker 1 hr 29 mins ██▒░░░░░░░░░░░░░░░░░░░░░░ 08.70 %
Go 53 mins █▒░░░░░░░░░░░░░░░░░░░░░░░ 05.18 %
Bash 52 mins █▒░░░░░░░░░░░░░░░░░░░░░░░ 05.08 %
Other 31 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 03.08 %building resilient systems at the intersection of backend engineering and agentic ai



