Senior Advisor, Machine Learning Engineering
Current• Carried out MLOps implementation for multiple data science within Dell for setting up MLOps development and lifecycle.• Helped data science teams advise on MLOps project architecture and implementation• Helped data science teams transition from experimental phase to production phase using MLOpsstandard adoption with help of MLOps maturity assessment• Helped teams onboard MLOps best practices like Mlflow, feature store, , ML pipeline development and optimization using… Show more • Carried out MLOps implementation for multiple data science within Dell for setting up MLOps development and lifecycle.• Helped data science teams advise on MLOps project architecture and implementation• Helped data science teams transition from experimental phase to production phase using MLOpsstandard adoption with help of MLOps maturity assessment• Helped teams onboard MLOps best practices like Mlflow, feature store, , ML pipeline development and optimization using BYOC(Dockers and Kubernetes ), Airflow and Kubernetes with credential management• Helped teams setup MLOps pipeline by developing ready to use blueprints• Helped teams adopt DevOps CI/CD for efficient project deployment and lifecycle management with high availability setup.• Helped team setup data monitoring and model monitoring using evidently.ai framework• Helped teams setup scalable solutions and effective resource utilization.• Mentored and trained ML engineering teams for their ML workload onboarding on to the dell standard data science platform provided by central AI-Acceleration team• GenAI serving ,enabling GenAI capabilities for multiple teams within dell• Experience in LLM prompt engineering, RAG architecture, langchain agents implementation and LLMOpsTechnologies:Python, MLOps, CI/CD with Gitlab, MLFlow, Feature Store (Feast), EvidentlyAI for ML evaluation, Airflow, FastAPI, Flask API, GenAI Serving, vLLM framework, Text Generation Inference Framework, Triton serving, Prompt Engineering, Langchain framework, RAG ( Retrieval Augmented Generation), Embedding Store (PG Vector), Docker, Kubernetes Show less
