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SaiLokesh Gayam
Mid-level Full-Stack Software Engineer specializing in GenAI (RAG/LLM) systems
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Backend/platform engineer who has owned FastAPI microservices for analytics/ML ingestion and driven measurable performance gains (cut latency ~40%). Experienced deploying to AWS (ECS/EKS) with GitOps (GitHub Actions + ArgoCD + Helm), and has executed an on-prem to AWS migration using Terraform with parallel-run cutover and ~30% runtime improvement. Also built Kafka-based real-time user activity streaming with Prometheus/Grafana observability.
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Key Strengths
- 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
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