Alok Jha
Full Stack Engineer
Full Stack Engineer
I build modern, scalable web applications end-to-end using technologies like React, Next.js, NestJS, and GraphQL. I’m experienced across the full SDLC, with a focus on writing clean, maintainable code for both frontend and backend. I also care deeply about user experience—crafting responsive, accessible UIs with Tailwind CSS, SCSS, and thoughtful design principles to ensure great usability across devices.
Once the application is built, I help clients implement robust DevOps workflows, including automated testing, CI/CD pipelines, and cloud-based deployment strategies to ensure a smooth and reliable Go-Live. I work with tools like GitHub Actions, Docker, Terraform, and NGINX to streamline development and deployment. Whether deploying to AWS, Vercel, or DigitalOcean, I focus on automation, monitoring, and repeatability to support scalable production environments.
Build applications that are scalable, resilient, and optimized for the cloud. As a certified AWS Cloud Practitioner, I bring a solid understanding of cloud architecture and best practices for designing modern, distributed systems. I have hands-on experience deploying microservices using AWS, Docker, and Kubernetes, along with infrastructure automation via Terraform and system monitoring using Prometheus and Grafana.
I interned at Realtor.com where I built automated features to help property builders manage their listings more easily. I worked on modernizing their billing system using data pipelines and validation tools to make sure everything was accurate. I created automated workflows using AWS services to reduce manual work and prevent errors. I helped migrate their data from one system to another, making their reporting faster and more reliable. I built reusable React components and set up documentation tools to help the team work more efficiently. Throughout my internship, I used modern technologies like NestJS, Next.js, and TypeScript to build features that made the platform better for everyone.
May 2025 – Aug 2025I worked as Student Administrative Support at the University of Texas at Arlington where I managed Linux computer systems, making sure they were secure and running smoothly. I helped organize all the university's computers by setting them up with proper management tools, making it easier to keep them updated and secure. I also set up security features like encryption to protect university data and prevent unauthorized access.
August 2023 – PresentI worked as a Student Researcher at Cornell University where I built AI systems to help people with disabilities. I worked on computer vision technology that could better understand and describe what it sees, making it much more accurate and reliable. I improved how these AI models run by making them faster and more efficient. I also created a system that combines both visual and audio information to help visually impaired people navigate better and avoid obstacles more effectively.
June 2024 – June 2024I worked as a Software Engineering Fellow at Headstarter where I led the development of AccessWay, a travel planning platform that uses AI and voice technology to create personalized travel plans for people with disabilities. I built smart systems that could match people's accessibility needs with real-time information about transportation, hotels, and places to visit. I focused on making the platform user-friendly and worked closely with users to get feedback, making sure it worked well for travelers with different mobility, sensory, and cognitive needs.
Jan 2024 – Feb 2024A collection of my recent work and experiments
A comprehensive social media platform built with modern full-stack technologies. Features user authentication with OAuth (Google/GitHub), real-time posts with rich text editing, image uploads to AWS S3, comments and likes system, user profiles, and responsive design. Implements GraphQL and REST APIs, role-based authorization, and real-time updates. Deployed on Render (backend) and Netlify (frontend) with DynamoDB for scalable data storage.
A sophisticated chess game built from the ground up with intelligent AI opponent. Features minimax algorithm with alpha-beta pruning for intelligent decision-making, sophisticated position evaluation system incorporating material balance, piece-square tables, pawn structure analysis, and endgame heuristics. Includes React.js frontend for interactive gameplay, MongoDB for game session persistence, and WebSocket communication for multi-session gameplay.
Innovated a custom in-memory SQLite-compatible engine including a hand-written SQL parser supporting CRUD operations. Engineered a low-level B-tree byte-page storage with support for direct parsing and execution of raw SQLite file formats. Created a full-featured web interface on top of the custom SQLite engine, featuring a live SQL editor with real-time execution.
Built a full-featured messaging app with React and Firebase (Auth + Firestore) enabling real-time chats, user auth, and clean UI. Includes robust state management and error handling.
Multiplayer word search game using Java, WebSockets, and JavaScript. Features real-time communication, score tracking, chat, and dynamic UI with game rooms and grid generation.
Real-time object detection app using TensorFlow.js, OpenCV.js, and React. Supports live camera input, image uploads, and multiple pre-trained model options for bounding box detection.
Built an intelligent document query system using Python, Chainlit, FAISS, and Hugging Face embeddings. Enables natural language search across PDFs, with 95% retrieval accuracy and fast response times.
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