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Aman Kumar Mushnam
Intern Full-Stack/Backend Engineer specializing in cloud-native APIs and event-driven systems
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Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.
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Key Strengths
- Owned end-to-end development of a scalable Python backend for an AI voice assistant (speech recognition, NLP, automation)
- Designed low-latency event-driven workflows using Kafka producers/consumers and partitioning strategies
- Performance optimization using asyncio, caching, and profiling (cProfile) to achieve sub-500ms latency
- Kubernetes + GitOps (ArgoCD) implementation with Kustomize overlays to prevent config drift and failed rollouts
- Secure CI/CD and secret management using Sealed Secrets and external vault integrations
- Planned and supported phased cloud-to-on-prem migration with staging, monitoring, and blue-green swaps for zero downtime
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