Alok Agarwal

Developed and deployed deep learning models using both TensorFlow and PyTorch, leveraging TensorFlow for production-scale serving and PyTorch for rapid research prototyping and dynamic computation graphs. Use of LangChain, Implementation of RAG with ChromaDB, MultiQueryRetriever as well as MMR, usage of Open Source models.

Designed and deployed multiple canvas and model-driven Power Apps, streamlining business processes across sales, HR, and operations. Integrated Power Apps with Dataverse, SharePoint, and SQL Server to create scalable, data-centric solutions. Implemented role-based security and conditional formatting to ensure data governance and intuitive user experiences. Automated workflows using Power Automate, reducing manual data entry by 40% across key departments.

Implemented and maintained end-to-end testing suites using Playwright, improving test reliability and reducing execution time by 40%. Developed cross-browser and mobile-responsive test scripts for critical user flows. Leveraged Playwright’s trace viewer and recording features to debug failures efficiently and ensure consistent application quality across Chrome, Firefox, and WebKit

I have built several small web apps with Flask, from a personal task manager to a movie review site. I am comfortable handling routes, using Flask-SQLAlchemy for database work, adding login systems, and making sure everything runs smoothly with simple error handling and templates using Jinja2. I have found that Flask is lightweight and flexible Flask and helpful for turning ideas into working prototypes quickly.