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Pranav Mishra
Junior Machine Learning Engineer specializing in LLM agents, RAG, and MLOps
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About
AI/ML engineer who has shipped production systems across computer vision and conversational agents: built a YOLOv8-based wheel fitment pipeline at a Techstars-backed automotive startup, focusing on sub-second latency, monitoring, and robust fallback mechanisms that drove 2–3x page view growth and +5–6k users. Also built a voice-based interview platform orchestrating Deepgram + GPT-4 Mini + OpenAI TTS with FSM-driven reliability, and has hands-on RAG experience (LangChain, hybrid retrieval, cross-encoder reranking, custom pseudo-query generation).
Experience
Education
Key Strengths
- Built and deployed production computer-vision system for wheel fitment using YOLOv8 (87% detection accuracy)
- Production reliability engineering for ML (fallback chains/cascades, handling bad inputs/timeouts/API failures)
- Performance/latency optimization to achieve sub-second response times
- Implemented monitoring to detect degradation and bottlenecks (AWS monitoring)
- Delivered measurable product impact: 2–3x daily page viewership growth and +5–6k users after deployment
- Designed robust voice-based multi-agent workflows with explicit state management (FSM, timeouts, fallbacks)
- Strong RAG system design: hybrid retrieval + re-ranking; custom pseudo-query/prompt generation to improve precision
- Effective collaboration with non-technical stakeholders via rapid prototyping and expectation-setting
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