Data & AI professional with a Master's in Data Science, specializing in designing intelligent, scalable workflows that integrate machine learning, automation, and data engineering. Experienced in predictive modeling, reinforcement learning, and causal inference, developing adaptive pipelines that continuously learn and improve. Built self-optimizing forecasting systems, agentic AI frameworks with LangChain and LangGraph, and deployed RL agents for trading simulations. On the data engineering side, skilled in architecting ELT pipelines with SQL, Airflow, and dbt on GCP and AWS, leveraging medallion architectures and modular transformation logic. Adept at delivering reliable data flows, actionable dashboards, and retrieval-augmented AI agents. Treats AI as a holistic systems challenge-balancing performance, integration, and adaptability to deliver measurable business impact.
Technical Skills: Reinforcement Learning PyTorch TensorFlow SQL PostgreSQL NoSQL MongoDB Apache Airflow GCP Cloud Composer Dbt Cloud Angular 16 ReactJS NextJS TypeScript JavaScript HTML5 AWS Azure Webpack Vite Parcel Babel NPM Yarn CI/CD D3js Chartjs Recharts Python Bash UNIX/Linux Jupyter
Tools & Platforms: Tableau Power BI Git GitHub VS Code Postman JIRA Responsive Design WCAG 21 Jest Cypress Storybook Figma Langchain LangGraph N8n Automation
Soft Skills: Teamwork & Collaboration Customer Service Problem-Solving Time Management Attention to Detail