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Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
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LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.
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Key Strengths
- Built and deployed LLM-powered RFP requirements extraction platform to production
- Improved extraction accuracy to 90%+ with grounding and confidence thresholds
- Scaled throughput ~5x via parallelization and caching
- Strong productionization of LLM systems (FastAPI service, monitoring, audit logging, CI/CD, Docker)
- Designs reliable LLM workflows with deterministic stages, structured outputs, and prompt/model regression testing
- Effective orchestration of multi-step LLM pipelines using LangChain (RAG, routing, tool calling, validation)
- Bridges technical/non-technical needs; delivered compliance-friendly document comparison with traceability and confidence indicators
- Iterative prototyping with stakeholder feedback using Streamlit demos; positioned AI as decision support for adoption
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