Poornachandra M Nayak
@poornachandramnayak
Senior backend engineer building scalable, low-latency voice AI systems.
What I'm looking for
I’m a Senior Backend Engineer focused on building production-grade voice AI platforms with scalable backend services. I architect async Python/FastAPI microservices that support thousands of daily voice interactions with high reliability.
In my current role at Orbitel Labs Pvt Ltd, I’ve powered a voice AI system serving 5,000+ daily calls across ~60 bots with 99%+ reliability under high-concurrency load. I re-engineered a RAG pipeline (ingestion → normalization → retrieval) to cut p50 latency 40% (150ms → 90ms), improving voice-bot response quality at scale.
I also designed an LLM tool-calling framework with strict JSON schema validation to enable complex multi-step actions mid-conversation—without hallucinated function calls. To handle real-time demands, I scaled the retrieval backend to sustain 80–100 concurrent AI queries during live voice sessions using async workers and optimized vector query patterns.
Earlier at ICICI Lombard, I delivered high-throughput Python/Flask APIs and AWS-integrated services, shipped a robocalling platform to production, and increased conversion rates by 30%. Before that at Unbox Technologies, I built Go services for real-time CDR synchronization, redesigned for multi-tenant architecture with Docker and Lua routing to cut infrastructure costs 35%, and improved call-routing conversion rates by 20–25%.
Experience
Work history, roles, and key accomplishments
Backend Engineer
Orbitel Labs Pvt Ltd
Mar 2025 - Present (1 year 1 month)
Architected async Python/FastAPI microservices powering a production voice AI platform serving 5,000+ daily calls across ~60 bots, achieving 99%+ reliability under high concurrency. Re-engineered the RAG pipeline to cut p50 latency 40% (150ms → 90ms) and scaled retrieval to sustain 80–100 concurrent queries during live voice sessions.
Software Development Engineer
ICICI Lombard
Oct 2019 - Feb 2025 (5 years 4 months)
Delivered high-throughput Python/Flask APIs and AWS-integrated services for insurance customer engagement platforms used by thousands of customers daily. Shipped an automated robocalling platform that increased customer conversion rates by 30% and improved UX by reducing page load times by 2–4 seconds using query rewrites and Redis caching.
Software Engineer
Unbox Technologies
May 2018 - Oct 2019 (1 year 5 months)
Built Golang services for real-time CDR synchronization across multi-client telephony databases, improving data accuracy and reducing reconciliation lag. Redesigned infrastructure to a multi-tenant architecture with Docker and Lua-based routing, cutting infrastructure costs 35% and improving call-routing conversion by 20–25%.
Education
Degrees, certifications, and relevant coursework
PES Institute of Technology
Bachelor of Technology, Computer Science and Engineering
Grade: 8.56/10
Earned a B.Tech in Computer Science and Engineering from PES Institute of Technology, Bengaluru, graduating in 2018 with a GPA of 8.56/10.
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