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Sai Dev
Mid-level AI/ML Engineer specializing in MLOps, computer vision, and NLP
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About
GenAI/ML engineer from Lucid Motors who built and productionized an LLM-powered RAG diagnostic assistant for manufacturing and maintenance teams, deployed on AWS with Docker/Kubernetes and MLflow. Demonstrates end-to-end ownership from retrieval/prompt design to scalability, monitoring, and workflow integration via APIs, plus production ML pipeline orchestration with Kubeflow (Spark/Kafka + TensorFlow) for predictive maintenance use cases.
Experience
Education
Key Strengths
- Built and deployed a production RAG-based LLM diagnostic assistant for manufacturing/maintenance engineers
- Reduced hallucinations via improved chunking/embeddings, retrieval thresholds, and strict grounded prompting with 'information not found' behavior
- Designed scalable GenAI service with Docker + Kubernetes horizontal scaling and independently scalable retrieval/inference layers
- Integrated AI into existing engineering workflows via backend service + API integration (FastAPI/Rust) to drive adoption
- Production ML orchestration experience using Kubeflow pipelines with containerized steps (Spark/Kafka preprocessing, TensorFlow training, evaluation gates)
- Strong production reliability practices: logging, p95 latency/throughput monitoring, error tracking, user feedback loops, and A/B testing
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