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Aditya Anil Raut
Junior Software Engineer specializing in AI/ML, data pipelines, and cloud APIs
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About
Hands-on AI/LLM practitioner who built a RAG-based customer support chatbot and tackled production issues like data chunking complexity and response-time lag. Uses techniques such as overlapping chunks, semantic search, context engineering, and query routing, and has experience presenting technical demos/workshops to developer audiences.
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Key Strengths
- Built a RAG-based AI support chatbot
- Improved retrieval quality via overlapping chunks and semantic search
- Diagnosed and reduced chatbot latency by fixing repetitive context from chunking strategy
- Applied context engineering to improve LLM response relevance
- Tailors technical demos/workshops to developer audiences and time constraints
- Client-facing delivery with emphasis on requirements clarity and progress updates
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