Kanbas
A robust Learning Management System (LMS) inspired by Canvas, designed to streamline the management of courses, assignments, grades, and modules in an educational setting.
Jiffy
A comprehensive food delivery application built with React.js, Redux, and TailwindCSS . Integrates live APIs from Swiggy offering real-time ordering experience.
Admitly
A unified admission portal for rapid admission process for both students and universities. Powered by Spring Boot and deployed on Azure Web Apps
Customer Manager
A powerful WPF-based client for managing customer data, leveraging gRPC services for high performance and scalability utilizing streaming and asynchronous communication.
useFormAutoSave
A lightweight, customizable React hook that automatically saves form data to prevent loss during user sessions. Provides configurable save intervals, state persistence, and seamless integration with form libraries.
Portfolio Website
A responsive personal portfolio built with React, Tailwind CSS, and Framer Motion. Features interactive animations, dark mode support, and a clean, modern design to showcase my projects and skills.
CoralCake
A benchmarking platform for Large Language Models (LLMs). Run a single prompt across multiple LLMs (OpenAI, Mistral, etc.) and compare latency, token usage, and cost in real time. Export results as CSV/JSON and review historical runs side-by-side to pick the best model for your use case.
NeatMeet
A community event discovery app that allows users to explore events happening around them, filter events by location, search for events, and interact with the event community through voting and creating events.
- Architected and engineered a side-by-side installation for PIC-iX (WinForms/.NET) enabling concurrent patch deployment, reducing production downtime by 65%.
- Developed a Python-based automation tool to generate Release Requirement Documents by programmatically ingesting, transforming, and validating Azure DevOps work item data, ensuring accuracy and consistency across releases.
- Reduced document processing time from days to minutes (99% reduction) by automating revision history, delta generation, and structured upload to DevOps
- Streamlined CI pipelines by enhancing GitHub workflows to run automated smoke tests and linting on pull requests.
- Created workflows to enhance developer experience, like flagging unused NuGet package references of .NET projects.
- Developed C# backend services for a manufacturing platform, containerized them with Docker, and deployed to Kubernetes.
- Implemented GraphQL endpoints over existing manufacturing data services, enabling operators to fetch complex nested datasets (production orders, machine states, quality logs) in a single query — reducing API round trips by 40%.
- Re-engineered manufacturing data storage by migrating time-series production logs from MongoDB to PostgreSQL with partitioned tables, improving analytical query speed by 35% for reporting dashboards.
- Created a Jenkins + Azure DevOps hybrid CI/CD pipeline to run automated integration tests, build Docker images, and roll out updates to Kubernetes — reducing release lead time from 1 week to under 2 days.
- Designed and implemented a Digital Manufacturing application using .NET framework, Xamarin.Forms and MAUI
- Followed MVVM architecture and Object-Oriented Programming (OOP) for creating robust application.
- Implemented design patterns such as Command, Decorator, and Builder to enhance the software architecture.
- Integrated MQTT brokers with backend services to stream live sensor data into PostgreSQL-backed queues, achieving sub-second processing for shop-floor dashboards.
- Implemented a SignalR-based connection to efficiently route orders across the manufacturing plant.
- Team lead for an Asset management application to digitize the handling of all organization's assets.
- Developed both frontend (MAUI) and backend (SQL) of the application, based on .NET framework.
- Leveraged Azure to create web apps to host APIs, blob storage for file management, and SQL database for the application.
- Developed and deployed chatbots using Node.js into Facebook Messenger.
- Utilized Dialogflow NLP for efficient user query handling.
