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Pranay Kolipara
Mid-level Machine Learning Engineer specializing in Generative AI and real-time ML systems
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ML/GenAI engineer with hands-on experience shipping LLM-powered support systems at Uber, including real-time feedback analysis, ticket summarization, and retrieval-grounded knowledge systems. Stands out for combining fine-tuning, RAG, safety evaluation, and production optimization to drive measurable support outcomes like faster handling times, better resolution rates, and lower latency/cost.
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Key Strengths
- End-to-end ownership of production LLM systems
- Real-time ML deployment at scale
- Strong LLM evaluation and safety practices
- Latency and cost optimization in production inference
- RAG and retrieval system implementation
- Monitoring and observability for ML systems
- Python platform/library design for internal teams
- Support operations domain impact
- Reduced manual review time by 40%
- Improved ticket handle time by 35%
- Increased first response resolution by 25%
- Brought inference latency down by nearly 40%
- Improved factual accuracy by around 15%
- Cut inference costs by 25%
- Reduced onboarding time for ML projects by 50%
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