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Kathan Patel
Mid-level Generative AI Developer specializing in Python and LLM applications
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About
Currently working on Kavia AI, an end-to-end AI coding platform that lets users generate enterprise applications from prompts and existing codebases via SCM integrations. The candidate has hands-on experience across the GenAI stack—prompt engineering, LangGraph-based multi-agent orchestration, RAG, knowledge graphs, FastAPI, and AWS monitoring—with a focus on making software creation accessible to non-technical users.
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Key Strengths
- Built an end-to-end AI coding platform
- Experience with agentic AI architecture using LangGraph
- Designed multi-agent workflows for code, document generation, and bug fixing
- Integrated RAG and knowledge graph-based context handling
- Implemented SCM-connected codebase import and branch-based auto-commit flows
- Hands-on AWS deployment and usage monitoring for model consumption and cost
- Applied prompt guardrails for unsafe or unethical requests
- Understands latency vs accuracy tradeoffs in LLM systems
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