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Vedant Kharwal
Intern AI/ML Engineer specializing in Generative AI and applied machine learning
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New graduate with hands-on LLM work building a RAG pipeline (HNSW, lexical reranking/boosting, ReAct) and optimizing it through ablation to dramatically reduce latency. Also building a modular personal assistant with a custom wake word model, router-driven agent selection, and integrations like Spotify with secrets managed via .env.
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Key Strengths
- Performance/quality tradeoff optimization via ablation testing (cut latency from ~50 minutes to <20 seconds with moderate quality drop)
- Hands-on RAG pipeline construction using HNSW + reranking techniques
- Modular debugging approach for LLM/agentic workflows (separating wake word, base model, router, agents)
- Clear technical communication using diagrams/graphs to explain complex concepts
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