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Sumedha Kulkarni
Entry Software Engineer specializing in embedded systems, full-stack, and AI/ML
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About
AI-focused engineer who treats models as tightly controlled collaborators rather than autonomous replacements. Built and led a LangGraph-based multi-agent research system with separate stages for decomposition, retrieval, synthesis, and validation, emphasizing modularity, debuggability, and robust failure handling.
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Key Strengths
- Structured AI-assisted development with strong human oversight
- Architecture-first approach to coding and system design
- Strong quality discipline through tests, typed interfaces, and manual validation
- Effective use of scoped multi-agent workflows for traceability and debugging
- Built and led a LangGraph-based multi-agent research system
- Clear agent role definition and interface design
- Focus on failure handling and preventing silent error propagation
- Pragmatic tool selection based on workflow fit rather than hype
- Hands-on experimentation with emerging AI tools and frameworks
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