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.
My internship at Realtor.com was focused on driving efficiency and reliability across core property management systems. I engineered automated listing management features and significantly modernized the billing system by designing data pipelines and validation tools to ensure billing accuracy. My flagship project was building a custom MCP Server (Monitoring and Control Platform) which solved a massive team bottleneck: it automated the diagnosis and resolution of persistent "data pipeline" failures, saving developers countless hours of manual debugging. To ensure feature safety and flexibility, I also implemented a robust feature-flag system in the front end, enabling controlled rollouts and A/B testing based on user subscription tiers, all while developing using a modern stack including NestJS, Next.js, and TypeScript.
May 2025 – Aug 2025My role involves ensuring the security and stability of mission-critical IT infrastructure for the University of Texas at Arlington. I manage and secure Linux computer systems, ensuring smooth operation and compliance with university policies. A key contribution was streamlining IT management by organizing and centralizing the computer inventory, which significantly improved the process for applying updates and security patches campus-wide. Furthermore, I implemented robust data protection features, including disk encryption, to safeguard sensitive university data and prevent unauthorized access.
August 2023 – PresentAs a Student Researcher, I contributed to the development of cutting-edge assistive AI systems designed to aid people with disabilities. My work focused on the performance and accuracy of computer vision technology; I conducted rigorous benchmarking and stress-testing to identify optimization opportunities. I also created a sophisticated multi-modal system that fuses both visual and audio information. This integration provided a more comprehensive environmental understanding, enhancing navigation and obstacle avoidance capabilities for visually impaired users and demonstrating my expertise in complex machine learning pipelines.
June 2024 – June 2024In this fellowship, I took the lead in developing AccessWay, a travel planning platform that leverages AI and voice technology to create personalized itineraries. The core challenge was designing smart matching algorithms that could successfully align a user's specific accessibility needs—whether mobility, sensory, or cognitive—with real-time data on transportation, hotels, and venues. I drove the product from concept to execution, focusing heavily on user-centric design principles and incorporating feedback to ensure the platform delivered genuinely functional and user-friendly solutions for travelers with diverse 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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