A Software Devloper & AI Enthusiast.
I learn, develop, and optimize AI models for mobile use.
My journey in the digital frontier, driven by curiosity and a passion for building the future.
I am a passionate and driven developer currently in my final year of B.Tech in Computer Science at Kumaraguru College of Technology, with a deep focus on leveraging Artificial Intelligence and Machine Learning to solve real-world problems. I specialize in building intelligent systems that blend strong technical foundations with thoughtful, user-centered design.
My experience spans frameworks like PyTorch and tools such as Transformers and LangChain, enabling me to work confidently at the intersection of research and application. I have a particular knack for understanding the fundamentals behind complex models, which helps me not only implement AI systems but also dissect and optimize them for better performance.
Recently, I was honored with the Best Process Excellence Award at my college for a project that showcased innovation, impact, and technical depth — an achievement that reflects my commitment to building effective and efficient solutions. I also have experience deploying models and developing full-stack ML applications, giving me end-to-end visibility of the development pipeline.
While I enjoy development, my core interest lies in AI research — exploring model behavior, challenging existing limits, and uncovering novel use cases. In the next few years, I aspire to grow as an AI researcher, product engineer, or startup founder, creating solutions that are not only scalable and reliable, but also socially meaningful and accessible across domains like healthcare, education, and sustainability.
Python
TensorFlow
PyTorch
Scikit-learn
Docker
GitMilestones and roles that have shaped my expertise and perspective.
OCT 2024 - DEC 2024
Designed and implemented a system for detecting fraudulent signature verifications using:
Here's a glimpse into some of the exciting projects I've worked on, showcasing my skills and passion for innovation. Each project represents a unique challenge and a step forward in my journey.
A comprehensive AI solution designed to assist healthcare professionals and patients:
Conducted an in-depth study using satellite-based remote sensing data. Achieved third place in an inter-university competition for geospatial data processing.
Analyzed student performance patterns using the Open University Learning Analytics Dataset. Implemented machine learning models to predict outcomes.
Sharing knowledge, experiences, and thoughts on the evolving tech landscape.
Been a busy few weeks, but I’m back! Lately, I’ve been deep into Reinforcement Learning—mainly Q-learning—and exploring attention mechanisms in LLMs. Also building an RL-powered Tic-Tac-Toe game, nearly done, just ironing out training issues. Found a great video on attention too—more on that soon!
Healthcare can be overwhelming, so I built a smart interface—both as a webpage and Android app—to help patients manage documents and get personalized assistance. In this post, I break down the tech, workflow, challenges, and what’s next, repeating key parts to make sure it all clicks.
Sharing my journey from deep learning basics to exploring LLMs and diving into reinforcement learning. It’s been late nights, rented GPUs, and a serious YouTube deep dive. If you're curious about attention, LLMs, or why RL has me hooked—let’s break it all down, step by step.