Muhammad Zeeshan Mazhar

Developed AI workflows and applications to automate manual tasks, increasing work efficiency by 50%. Built RAG pipelines using embeddings, vector search, hybrid retrieval, and prompt optimization Built AI solutions with Python, n8n, AWS Bedrock, Flowise, LangChain, and LangGraph; Delivered applications from PoC to production-ready deployment. Implemented Langfuse for prompt management, LLM tracing, user feedback collection, and latency tracking. Developed reusable AI agents and custom MCP servers

Data Science Program Coordination job which involves administrative work plus Data Science work mainly with Pandas, Matplotlib, and Seaborn

- Writing code in Pandas. PySpark for Data pipeline. - Creating ETL Pipelines in Azure Synapse and Azure Databricks. - Transporting code from Notebooks to Python libraries and creating packages. - Writing automation testcases using Pytest. - Writing scripts to automate documentation generation for package library and testcases functions. - Creating interactive dashboards using final Gold layer data in Power BI. - Creating measures, calculated tables and columns using DAX to display KPIs.