Final year CSE student passionate about building intelligent systems and scalable backend architectures.
I'm a Computer Science undergraduate specializing in Artificial Intelligence, Machine Learning, and Backend Development. I develop and deploy AI-powered solutions, build scalable APIs with FastAPI, and integrate advanced models like Gemini for real-world applications. My work spans NLP-driven contract analysis, AI-powered healthcare assistants, and personalized career guidance platforms.
When I'm not coding, I'm winning hackathons, exploring new AI frameworks, or refining my skills through certifications and projects. I believe in continuous learning, building impactful tech, and solving real problems with intelligent systems.
"Fun fact: I get more excited by clean datasets than by plot twists in K-dramas."
Here are some of my notable projects. Each one was an opportunity to learn and grow as a developer.
"Never sign what you don’t understand — let AI read the fine print for you."
AI-powered legal assistant that detects risky contract clauses, explains them in plain language, and supports multi-format uploads — built with FastAPI, MongoDB, and Google Gemini API.
Developed a mobile application (with Om) integrated with a deep learning model capable of accurately identifying plant species from uploaded images, focusing on native Indian species. Included detailed region-specific data such as medicinal uses and conservation status, with accuracy prioritized for indigenous species.
National Hackathon
Feb 2025
DRDO, Delhi
Aug 2025 - Ongoing
Researching and implementing adversarial attacks on CNN-based machine learning models, analyzing vulnerabilities, and sharing findings for defense improvements.
Sharing knowledge is my passion. Here are some of my recent technical writings.
A deep dive into quantization, pruning, and other techniques to make your TensorFlow models run efficiently on resource-constrained devices...
Exploring gRPC, event sourcing, and message brokers for building resilient microservices architectures that scale...
A step-by-step explanation of how attention mechanisms work and why they revolutionized natural language processing...