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Navyanth Bollareddy
Junior Full-Stack Software Engineer specializing in React/Node, cloud, and LLM-powered automation
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About
Master’s program project lead who built and deployed a real-time sound recognition system (Flask + React Native + ML) that was adopted by 200+ university students. Demonstrates strong production engineering and cross-layer debugging—solving latency, unreliable uploads, and observability gaps using microservice separation, chunked/idempotent transfers, and packet-capture-driven network diagnosis—plus AWS/on-prem and IoT edge-to-cloud integration experience.
Experience
Education
Key Strengths
- Led end-to-end build and production deployment of real-time sound recognition system used by 200+ students
- Performance and reliability engineering (reduced latency via service separation and DB write optimization)
- Robust upload design (chunked transfers, idempotency) to handle unreliable networks
- Strong observability and debugging practices (logs, dashboards, health checks, request IDs)
- Cross-layer troubleshooting across device, network, API, and backend using packet captures and controlled network tests
- Customer-driven ML improvements (noise profiling, MFCC retraining, configurable thresholds)
- On-site collaboration with operators to diagnose real-world performance issues
- Cloud/on-prem and IoT integration experience using AWS and edge event ingestion
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