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Vidit Naik
Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems
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Forward-deployed engineer who built a production AI drone-control chatbot that lets users fly a drone via natural language while viewing a real-time feed. Implemented RAG over drone SDK documentation (vector DB + top-k retrieval) and LoRA fine-tuning, with a focus on latency, token efficiency, and cost reduction, and regularly works with non-technical clients to integrate and explain AI system architecture.
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Key Strengths
- Built and deployed an LLM-powered natural-language drone control system with real-time video/command loop
- Applied RAG with a vector DB over drone SDK documentation to reduce token usage and cost
- Experience addressing real-time latency constraints in AI-driven control workflows
- Systematic model selection using benchmarks aligned to use case (e.g., coding-focused model for code understanding/writing)
- Agent evaluation approach using a second LLM to critique and improve outputs
- Strong client-facing execution as a forward-deployed engineer integrating AI products with customer systems
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