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Advitha Bawgi
Junior Full-Stack Software Engineer specializing in cloud-native microservices
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About
Backend engineer with hands-on IoT and AI product work: built a decoupled Raspberry Pi + AWS IoT Core weather monitoring backend and a Dockerized FastAPI LLM service on AWS ECS using OpenAI/HuggingFace with an emerging RAG layer. Also delivered measurable performance gains at DAZN by redesigning event-driven/serverless ingestion (SNS, S3->Lambda->DynamoDB), cutting latency ~30% and boosting throughput ~25% while automating ~90% of manual sync work.
Experience
Education
Key Strengths
- Designed decoupled IoT architecture separating edge ingestion from cloud processing (AWS IoT Core + Lambda + DynamoDB + SNS)
- Optimized constrained-device workloads using async publishing to prevent blocking sensor sampling loops
- Production-style LLM backend integration with stateless, containerized FastAPI services on AWS ECS
- Built clean service wrappers for model calls/prompt construction to improve scalability and iteration speed
- Event-driven/serverless throughput optimization with measurable impact (~30% latency reduction, ~25% throughput increase)
- Automated ingestion/sync workflows via S3->Lambda->DynamoDB pipeline (~90% automation)
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