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Kamali N
@kamali543
GenAI Developer Agentic AI Engineer
Indien
Englisch, Tamil, Hindi
Über mich
I am a GenAI & Agentic AI Engineer with around 2 years of experience designing and deploying production multi-agent systems, hybrid RAG pipelines, and LLM evaluation frameworks. I specialize in AutoGen, LangChain, Azure OpenAI, and Vector DBs to build automated code-modernization platforms and clinical document analyzers.
Kompetenzen
Kamali N
offline •
Meine Dienstleistungen
KI-Integrationen
I will build custom multi agent ai systems and hybrid rag pipelines
Arbeitserfahrung
Software Analyst
Capgemini • Vollzeit
Dec 2024 - Aug 2026 • 1 yr 8 mos
Architected and deployed production multi-agent systems, hybrid RAG pipelines, and automated LLM workflows using AutoGen, LangChain, and Azure OpenAI. Key Achievements & Impact: • Architected a multi-agent orchestration platform using AutoGen, LangChain, and Azure OpenAI to automate legacy code conversion (Python 2-to-3) and unit-test generation. • Designed a Gateway Agent router to dynamically distribute tasks to specialized sub-agents for translation, code optimization, and output validation. • Engineered structured tool calling and automatic retry loops to re-generate failed outputs dynamically, eliminating manual intervention. • Developed a hybrid RAG pipeline combining ChromaDB vector search, BM25 keyword search, and FlashRank re-ranking for precise context retrieval. • Built a multi-layer evaluation framework leveraging AST parsing and validation agents to evaluate syntax, accuracy, response latency, token usage, and cost. • Integrated GPT-4 Vision for multimodal document intelligence to process and search complex clinical workflows.
