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Sagar Sidhwa
Senior AI/ML Engineer specializing in LLMs, MLOps, and predictive analytics
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About
ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.
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Key Strengths
- Built end-to-end ML pipelines from data ingestion to deployment and monitoring
- Delivered inventory optimization impact with reported $300k monthly savings
- Production experience deploying ML services with Docker, Git, and FastAPI
- Implemented monitoring for accuracy, drift, anomalies, logging, and alerting
- Shipped RAG and fine-tuned LLM chatbot integrated with ServiceNow for employee onboarding tickets
- Applied quality and safety evaluation for GenAI outputs, including bias and harmful output checks
- Optimized LSTM retraining pipeline for IoT predictive maintenance, reducing training time by 30%
- Created reusable preprocessing library that standardized workflows and reduced team errors
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