Himanshu Bhatnagar

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• Extensive experience (10 years) in ML/AI, with a strong recent focus on Generative AI and LLM systems.
• Proven technical leadership in designing and implementing GenAI platforms, specifically for data lineage extraction (OpenLineage, Marquez, NetworkX).
• Deep expertise in LLM fine-tuning (PEFT, LoRA), RAG, and prompt engineering for enterprise solutions.
• Solid MLOps capabilities, including Docker, Kubernetes, AWS SageMaker, and FastAPI for model deployment and inference.
• Strong data engineering skills with PySpark, SQL, Kafka, and experience with batch and streaming pipelines.
• Proficiency in traditional ML models (XGBoost, LightGBM, CatBoost) and robust model evaluation methodologies (AUC, F1, precision, recall).
• Relevant M.Tech degree in AI/ML and industry certifications (NVIDIA Certified Associate | Generative AI LLMS).
• Demonstrated ability to lead small teams while remaining hands-on with core technical design, reviews, and delivery.