- Leading the development, integration, and deployment of a JavaScript/Supabase backend for aLarge Language Model (LLM)-based chatbot product.- Collaborating on the design of a data platform to optimize and automate key aspects of internalmarketing, sales, and fulfillment processes.- Contributed to the development of a full-text search system using Python and OpenSearch,optimizing search functionality for PDF files stored on AWS S3.

- Built and integrated a Python/Flask microservice that automates the provisioning of GPU instances used in training Computer Vision models. Used Terraform to provision instances and Firebase to track their usage.- Integrated the Stripe API into our main application, Tuba, to provide a subscription-based pricing model.- Developed and maintained GitLab CI/CD pipelines to automate the deployment of the various frontend and backend applications using Docker.- Resolved software bugs spanning the JavaScript/React frontend and the Python/Flask-based APIs, enhancing robustness and user experience.

- Collaborated on developing license generation, signing & management tools and integrated them with the EDA product using Python and C++.- Maintained GitHub Actions workflows that build the application using Docker and Amazon Web Services (AWS) S3.- Rectified software bugs spanning various parts of the EDA product from the GUI written in Qt for Python to the business logic side written in Python improving product stability and user experience.- Actively participated in reviewing GitHub pull requests and resolving Git conflicts enhancing code quality and reducing defects.- Contributed to the intern selection process for the latest intern wave by assisting in question creation and reviewing candidates' GitHub projects.- Provided mentorship and guidance to an intern, conducting regular code reviews and actively assisting with his tasks.

- Paired with a colleague to design and implement a feature that Analog IC designers use to visualize and filter design points.- Built a custom range slider UI component in Qt for Python that displays heatmaps showing the distribution of design points. Developed the filtering and heatmap generation logic in Python and NumPy.