🎯 Principal AI & GenAI Specialist with 10+ years of experience delivering enterprise-scale ML/LLM systems across national safety & security, medical imaging, semiconductor, and academia. 🚀 Experienced in Machine Learning, Deep Learning, Natural language Processing, Computer Vision, Gen AI, RAG applications, AI Agent, MCP servers, Machine Learning Infrastructure, Data Pipelines, Distributed Computing and Backend Systems. Expert in fine-tuning (LoRA, QAT, PEFT), MLOps (MLflow, Azure ML, Docker), and GenAI strategy for enterprise deployment. 🧠 Proven technical leadership skills with impact having several research papers published in renowned journals and conferences and also, a US patent holder Programming Language:- Python, C/C++ Libraries:- Scikit-learn, OpenCV, Pandas, Deep Learning, Tensorflow, Keras, Pytorch, CAFFE Cassandra, ElasticSearch, Redis, Minio, PostgreSQL, SQLite, MongoDB, Hadoop, NFS, Oracle, SQL/PL-SQL Tools:- Micro-services, Django, Flask, GStreamer, SpringBoot, Node.js, FastAPI, Kubeflow, Kale, Mlflow, Airflow, Kafka, Spark, Thrift, Zookeeper, Kubernetes, Helm, Docker, Robin.io(Kubernetes), AWS, GCP, Git version control, DVC, ONNX, Tableau, Wandb, Streamlit, Gradio, Chainlit, Unstructured.io, Langchain, Haystack, Github Copilot MLOps: AWS SageMaker, Azure, Nvidia DeepStream, TensorRT, MLFlow, LLMOps, conda, PySpark, GitHub Actions, CI/CD Operating systems: Microsoft windows, Linux 📌 Interests: Secure LLMOps, Vector Search, Enterprise RAG Workflows, AI Education at Scale, Cloud-native ML, LLM Fine-tuning & Alignment