50M+ Record Search
Designed production-scale Elasticsearch search infrastructure with indexing strategies, query optimisation, sharding, and large-scale data pipelines.
NAVDEESH KHURANA
Distributed systems.
Reliable AI infrastructure.
I design high-scale backend systems, search infrastructure, and production AI applications where reliability, performance, and data consistency matter.
8+Years engineering
50M+Records in search infrastructure
8Engineers led
SELECTED ENGINEERING
Systems built for scale,
not demos.
Enterprise & AI Systems
Leading architecture and delivery of high-throughput backend workflows using Python, FastAPI, AWS, LangGraph, and Amazon Bedrock.
Transactional FinTech
Built event-driven financial systems with ACID guarantees, OAuth2, retries, idempotency, and failure isolation.
RESEARCH & WRITING
Building a body of work around reliable AI systems.
Current focus: applying distributed-systems principles — state, idempotency, retries, observability and failure recovery — to production AI and agentic workflows.
UPCOMING
→Engineering Reliable AI Agents: What Distributed Systems Can Teach Us
UPCOMING
→Designing Search Infrastructure Beyond 50 Million Documents
ABOUT
Engineering depth first.
I’m a senior software engineer and technical leader with 8+ years of experience building production systems across enterprise technology, FinTech, SaaS, and talent intelligence.
My work spans distributed architectures, high-scale search, event-driven systems, transactional platforms, vector retrieval, and increasingly AI infrastructure. I’m particularly interested in making AI systems behave like production systems: observable, recoverable, deterministic where possible, and resilient when things fail.
India · Python · FastAPI · PostgreSQL · Elasticsearch · AWS · LangGraph · Bedrock