Welcome to my GitHub! I am deeply passionate about Artificial Intelligence, with a strong focus on designing and developing efficient, explainable AI systems for assistive, responsible, and sustainable applications. I am particularly fascinated by the inner workings of deep neural networks and driven by a curiosity to reverse-engineer and understand their underlying mechanisms.
- Computer Vision – Research on fundamentals and advancement of computer vision.
- Deep Learning – Exploring ML models and AI-driven applications for assistive and technological developments.
- Open Source – Sharing my projects and contributing to the dev community.
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AutoUAVNav: Autonomous UAV navigation in GNSS-denied environment in 2D space with path planning expert warm start and Deep Reinforcement Learning. Research work during internship at Indian Institute of Technology (BHU) Varanasi.
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MoSE-XAI: A modified MobileNetV2 architecture enhanced with a Squeeze-and-Excitation (SE) block to improve feature recalibration and model performance in crop disease detection for soybean and sugarcane with XAI. Research work as a graduate research intern at Indian Institute of Information Technology and Management Gwalior. IEEE COMSNETS 2026 conference paper: https://ieeexplore.ieee.org/abstract/document/11418268
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SimSearch: A deep learning project focused on self-supervised learning for image representation and similarity-based retrieval.
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Assistive OpenCV: This project aims to enhance mobility and independence for visually impaired individuals by assisting them in navigating real-world environments safely. Project work during class of ES516 Programming for Data Science, winter 2025 at Indian Institute of Information Technology and Management Gwalior.
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LearningFaces: A simple yet effective Face Recognition System built using a custom dataset and the Haarcascade Frontal Face Classifier with unsupervised learning. Project work during class of ES514 Machine Learning Techniques, winter 2025 at Indian Institute of Information Technology and Management Gwalior.
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PINN-WyNDA: Physics Informed Neural Network implementation of Wide-Array of Nonlinear Dynamics Approximation. Project work done during class of ES526 Modelling & Simulation, Summer 2026 at Indian Institute of Information Technology and Management Gwalior.
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AutoNavRL: Autonomous Qbot navigation in GNSS-denied environment using Deep Reinforcement Learning. Research work during internship at Indian Institute of Technology (BHU) Varanasi.
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korroresearch: An AI agentic tool to generate complete document production system across 9 formats from research paper to thesis skeleton. Done in collaboration with KorroAI.
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Python Visual Similarity: A repository for computing similarity between images for image retrieval and unsupervised labelling tasks.
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TorchGround: A repository consists of various kinds of Deep Learning models and modules made entirely from scratch using PyTorch Framework.
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ANN: This repository contains some of the scratch up implementation of Artificial Neural Network only with Numpy and Linear Algebra.
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JFA: A comprehensive Java course designed to help learners from beginner to advanced levels. This repository covers fundamental to advanced Java concepts, ensuring a deep understanding of the language with hands-on problem-solving.
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DSA-Fundamentals: The repository consist of fundamental questions on data structure and algorithm for beginner and intermediate level.
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RLFoundations: A comprehensive repository consist of reinforcement learning implementation from scratch with python only.
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Compass: An intelligent, CLI-based campus navigation system designed for IIITM Gwalior. It focuses on efficient routing, human-friendly directions, and contextual campus awareness, making navigation intuitive for new visitors, students, and staff. Philanthropic work assoicated with Indian Institute of Information Technology and Management Gwalior.
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Project QUBE: Project QUBE foundation with google gemini api and python django, QUBE is a combination of AI and social networking webapp.
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SideProjects: A comprehensive beginner to advance projects in python.

