Hanumantha Reddy

About

Backend engineer who designed and evolved an AWS-based event-processing system in Python/PostgreSQL, achieving a 60% p95 latency reduction while improving reliability during traffic spikes. Led a zero-downtime migration from a monolithic Django app to FastAPI microservices using feature flags, strong testing, and cross-team coordination, with production-grade observability (Prometheus/Grafana/CloudWatch) and security (JWT/OAuth2, RBAC, Postgres RLS).

Key Strengths

• Designed low-latency, scalable event-processing backend on AWS (60% reduction in p95 latency)
• Resilience patterns for unreliable upstream services (async isolation, retries/timeouts, DLQs, boundary validation)
• Production observability and alerting (Prometheus/Grafana, CloudWatch, structured JSON logs, Slack alerts)
• API scalability and security in FastAPI (JWT/RBAC, rate limiting, caching, autoscaling)
• Database performance tuning under traffic spikes (read replicas, connection pooling, optimized queries)
• Led zero-downtime migration from monolithic Django to FastAPI microservices with feature-flagged incremental rollout
• Cross-functional coordination with frontend/QA/DevOps using API contracts, versioning, staging, Jira/Slack
• Took LLM prototype to secure, scalable production platform (containerization, CI/CD, Terraform)
• Performance and reliability optimization under real user load (autoscaling, throttling, Kubernetes limits)
• Structured real-time debugging of LLM/agent workflows using logs/metrics, sandbox reproduction, and prompt/output analysis
• Solved context-window overflow with dynamic context management (summarization) and automated incomplete-output detection
• Effective developer enablement via hands-on workshops, live coding, and adapting content when participants struggle
• Strong pre-sales partnership: built rapid POC to prove integration and efficiency gains for enterprise customer

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