At Realiq, I architect and deploy end-to-end ML pipelines on AWS SageMaker and Azure ML, reducing model deployment time by 50%. I also build Generative AI applications with LangChain, LangGraph, OpenAI GPT models, and FAISS for document Q&A and knowledge retrieval.
I design MLOps workflows with MLflow and CI/CD pipelines using GitHub Actions and Docker. These workflows have reduced manual release effort by 65%, and I deploy inference APIs with FastAPI.
At Upfroz Infotech, I developed predictive models for pricing optimization and demand forecasting, improving forecasting accuracy by 30%. I also built ETL pipelines that reduced manual processing effort by 40% and created Tableau dashboards for business KPIs.
As a Machine Learning Engineer Intern at TOPS Technologies, I developed demand forecasting models, tuned model training workflows, and deployed models to AWS. I hold AWS Certified Machine Learning Engineer – Associate and Microsoft Certified: Azure AI Fundamentals credentials.
