Adarsh Kumar
ai enthusiast | nlp | infosec | networking nerd
I'm Adarsh Kumar, a Computer Science and Engineering graduate passionate about building intelligent software solutions. With experience in Python, Java, and JavaScript, I specialize in developing full-stack web applications, AI-powered systems, and scalable backend services that solve real-world problems.
My interests span Artificial Intelligence, Machine Learning, Computer Vision, Cybersecurity, Cloud Technologies, and Software Engineering. Through hands-on projects involving AI Agents, Retrieval-Augmented Generation (RAG), Machine Learning, NLP, Computer Vision, and modern web technologies, I continuously explore new ways to combine software engineering with intelligent automation.
I enjoy working across the entire development lifecycle from designing user-friendly interfaces and robust backend architectures to training machine learning models and deploying applications to the cloud. Currently, I am seeking opportunities as a Software Engineer, AI/ML Engineer, Full-Stack Developer, or Backend Developer, where I can contribute to impactful products while continuing to grow as an engineer.
Education
Bachelor's of Technology
Computer Science and Engineering
Dr. APJ Abdul Kalam Technical University, Lucknow
2022 - 2026
Intermediate
Sarvajanik Vidhyalaya Daman, Daman
Science
2021
High School
Coast Guard Public School, Daman
2019
Experience
Full Stack Developer Intern
HashedBit Innovations
Gurugram, India
Jun 2025 - Sep 2025
- Developed and maintained frontend and backend features for a live e-commerce platform using React.js, Node.js, Express.js, and JWT-based authentication, including secure image uploads and role-protected APIs.
- Collaborated in an Agile team to debug, test, and optimize application performance, utilizing Git/GitHub, Postman, and Jira to deliver production-ready features on schedule.
AI Engineer (Contract Based)
Stealth Startup
Remote (Florida, USA)
Jul 2023 - Nov 2023
- Engineered AI-driven solutions leveraging Retrieval-Augmented Generation (RAG) and integrated OpenAI API into Discord bot, scaled the bot to handle discord channel of 100's of users.
- Deployed AI service on AWS Lightsail, utilizing Docker for seamless deployment and Pinecone vector databases to improve data retrieval efficiency.
Projects
ML Based Web Application Firewall2025
A machine learning-powered Web Application Firewall that detects malicious HTTP requests including SQL Injection and XSS attacks using feature engineering and Logistic Regression models for real-time threat detection.
View on GitHub →NYX: Screen Aware Agent2025
A screen-aware AI assistant capable of analyzing on-screen content using OCR and providing context-aware assistance through voice and command-line interactions to improve developer productivity.
View on GitHub →Rocket07 Online Delivery Service System2026
A full-stack delivery management platform featuring FastAPI backend, Supabase PostgreSQL database, and Telegram Bot integration for real-time order notifications, tracking, and workflow automation.
View Live → View on GitHub →V-Doc (Virtual Doctor)2023
An AI assistant leveraging medication data to suggest appropriate treatments for various diseases and injuries, balancing efficacy with safety in its recommendations.
View on github →Student Dashboard2025
A web application featuring an interactive student dashboard, designed for engaging and streamlined access to educational resources and tools.
View on github →Discord AI Bot2023
A custom-trained Discord AI bot, seamlessly integrating ChatGPT with RAG, tailored to your data for enriched, contextually relevant interactions and responses.
View on github →COLX (College Olx)2025
College OLX, A versatile college platform akin to OLX, enabling trade of second-hand items, lost and found posts, and maintenance requests.
View Live → View on github →Chat Room2023
A dynamic real-time chat app for instant messaging and seamless communication.
View on github →YouTube Ad Skipper2023
A Chrome extension designed to effectively bypass YouTube ads, enhancing your video-watching experience without interruptions.
View on github →Trash N Treasure2025
A web portal bridging communities and recycling industries, facilitating efficient waste management and promoting environmental sustainability.
View on github →TelegramGPT2023
An AI assistant for Telegram, utilizing the Retrieval-Augmented Generation (RAG) model, trained on custom data for enhanced, context-aware responses.
View on github →AstroBeats2023
Dive into the cosmos of sound with "AstroBeats", a sleek music website clone offering celestial playlists and personalized music recommendations.
View on github →Connect with me!
Feel free to reach out to me for collaborations!