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Chaitanya Sachdeva
Mid-level Applied AI Engineer specializing in LLM infrastructure and model optimization
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About
LLM engineer who has deployed privacy-preserving, real-time workplace risk monitoring over massive enterprise chat/email streams, tackling latency, hallucinations, and extreme class imbalance with model benchmarking, RAG + fine-tuning, and a pre-filter alerting layer. Also built an agentic legal contract drafting system (Jurisagent) using LangGraph/LangChain with deterministic multi-agent control flow, structured outputs, and reliability-focused evaluation/telemetry.
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Key Strengths
- Built and deployed real-time LLM-based workplace risk monitoring for enterprise chats/emails
- Model selection under strict latency constraints (tested 10+ open-source models; chose Llama 3 7B)
- Reduced false positives and improved real-time performance via a 0/1 pre-filtering alert mechanism
- Mitigated hallucinations/false positives using RAG plus fine-tuning when retrieval lacked relevant context
- Designed privacy-preserving architecture using on-device/on-prem open-source LLMs to keep data on company servers
- Built agentic, multi-step contract drafting system with planning/drafting/reflection agents using LangGraph + LangChain
- Reliability-focused evaluation approach: fixed eval sets, schema validation, regression tests, and production telemetry/KPIs
- Effective collaboration with non-technical HR/legal stakeholders by translating ML concepts into risk levels, alerts, and dashboards
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Experience
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Publications
1 publication
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