SaiLokesh Gayam

About

Backend/AI engineer who built an enterprise RAG chatbot over 40,000+ technical documents, owning the system from ingestion and retrieval design through launch, optimization, and incident prevention. Stands out for treating LLM reliability as a data, retrieval, and observability problem—delivering 90%+ benchmark accuracy, ~50% fewer hallucinations, and major gains in lookup speed and latency.

Key Strengths

• Owned backend systems end-to-end from design through launch and operations
• Deep expertise in reliable RAG architecture for technical documentation
• Strong retrieval engineering with hybrid search and strict metadata filtering
• Builds grounded AI systems with citation-backed responses and fail-safe behavior
• Balances reliability, latency, scalability, and developer velocity pragmatically
• Strong observability and evaluation mindset for AI/backend systems
• Effective incident debugging and prevention through root-cause analysis
• Ships in ambiguous early-stage environments with tight, iterative scoping
• Improved engineering knowledge lookup time by ~60%
• Improved retrieval precision by ~35%
• Reduced hallucinations by ~50%
• Achieved 90%+ answer accuracy on internal benchmarks
• Reduced end-to-end response latency by ~45%
• Improved onboarding time by ~40% with a lightweight support feature
• Owned FastAPI microservice architecture for analytics/ML ingestion (Postgres + SQLAlchemy + Redis)
• Backend performance optimization: reduced latency ~40% (≈400ms to <250ms) via caching, async I/O, and query tuning
• Strong SQLAlchemy optimization (batching, selectinload to address N+1 queries)
• Production Kubernetes deployment on EKS with HPA (CPU/memory-based autoscaling)
• GitOps CI/CD with GitHub Actions + ArgoCD + Helm; PR-based manifest updates and easy rollbacks
• Led/support major on-prem to AWS migration using Terraform and parallel-run cutover; improved job runtime ~30%
• Built Kafka-based real-time event pipeline; handled ordering/lag via partitioning, consumer groups, offset commits; added Prometheus/Grafana monitoring

Experience

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Publications

1 publication