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Aswath Senthilkumar
Junior Full-Stack & ML Engineer specializing in AI-driven web platforms and healthcare analytics
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About
Backend-focused engineer who owned an AI mentoring workflow platform built in Django with LangGraph multi-agent orchestration, optimizing it to stay under 200ms latency while scaling past 1,200 active users using profiling, caching, load testing, and OpenTelemetry-style tracing. Also has hands-on experience containerizing and deploying Python/ML services to AWS ECS via GitHub Actions/GitOps, and building reliable real-time pipelines with webhooks and Redis queues (idempotency, backpressure, DLQ).
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Key Strengths
- End-to-end ownership of Django + LangGraph AI workflow system architecture and implementation
- Low-latency optimization via caching, async workflows, and profiling (kept inference under 200ms)
- Scaled backend reliability with load testing (Locust) and observability (OpenTelemetry tracing/error tracking) for 1200+ active users
- Containerized ML/Python services and deployed to AWS ECS with GitHub Actions + ECR; tuned resources for responsive real-time processing
- Built real-time event pipeline using webhooks + Redis queues + workers with idempotency, backpressure, retries, DLQ, and deduplication
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