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Jagadeesh Kakamolu
Mid-level Software Engineer specializing in backend, cloud, and AI systems
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Engineer with hands-on experience across backend, full-stack, cloud, and AI/ML systems, with particular depth in Python, FastAPI, AWS Bedrock, SageMaker, and RAG-based architectures. Stands out for treating AI and agents as accelerators within disciplined production engineering, emphasizing guardrails, observability, latency/cost monitoring, and scalable system design.
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Key Strengths
- Uses AI as a productivity accelerator with strong engineering judgment
- Production-focused AI/ML system design
- Experience with RAG, prompt routing, and model selection workflows
- Multi-agent architecture and modular workflow design
- Strong emphasis on testing, guardrails, logging, and human review
- Balances scalability, reliability, security, and observability in deployed systems
- Hands-on leadership of AI agent-based workflows
- Pragmatic evaluator of new AI tools based on business value and reliability
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