Welcome to my GitHub! I am an AI researcher, a Postgraduate student and deeply passionate, curious about understanding underlying mechanisms of deep neural nets. My research interest includes Computer Vision, Representation Learning, Self-Supervised Learning, Multimodal Reasoning, Reinforcement Learning, Vision-Language Models and Responsible & Scalable AI
| Repository | Description |
|---|---|
| MoSE-XAI | A modified MobileNetV2 architecture enhanced with a Squeeze-and-Excitation (SE) and XAI for multi-crop disease detection. Accepted at COMSNETS 2026. Work done during postgraduate studies at IIITM Gwalior |
| SPA | Efficient parallel algorithms for UAV assistant vehicle routing in rugged terrain for dynamical networks. Accepted at ICIIS 2026. Work done during postgraduate studies at IIITM Gwalior |
| Repository | Description |
|---|---|
| AMRnav | Autonomous mobile robot navigation in GNSS-denied 2D environments using path-planning expert warm start with deep RL. Work during summer research internship at Indian Institute of Technology (BHU) Varanasi |
| Extension of STELLAR (ICML 2026) | Utilizing baseline STELLAR framework to investigate intrinsic dimensionality in real biomedical visual task and empirical analysis of rank compression in visual representation |
| Extension of AdaptVis (ICML 2025) | Investigating additional training free calibration techniques to further improve spatial-reasoning performance in out of distribution analysis |
| Extension of PiRO (CVPR 2024) | Evaluating embedding quality category and object-level representation. Currently collecting new data to extend framework generalization |
| Extension of Negbench (CVPR 2025) | Currently integrating the benchmark into a robotic visual perception pipeline to test negation robustness in real-world scenes |
| Repository | Description |
|---|---|
| AutoNavRL | Autonomous Qbot navigation in GNSS-denied environments via Deep RL. Done at Indian Institute of Technology (BHU) Varanasi |
| korroresearch | AI agentic tool generating research-to-thesis document pipelines across 9 formats. Done with KorroAI |
| Python-Visual-Similarity | Image similarity computation for retrieval & unsupervised labelling |
| I-CaN-Sim-Code | Application AI in communication networking. Working with I-CaN group |
| Repository | Description |
|---|---|
| TorchGround | Building Deep Learning models with PyTorch from scratch |
| dsa-python | Core data structures & algorithms question practice from ground zero |
| RepresentationLearning | Hands on implementation of state-of-the-art (SOTA) representation learning papers from scratch |
| aiml-python | Basic and Fundamental artificial intelligence concept implementation with python |
Recent Foundations & Learning Repositories
| Repository | Description |
|---|---|
| TorchGround | Deep learning models & modules built from scratch in PyTorch |
| CV-Fundamentals | Computer Vision fundamentals |
| ANN | Artificial Neural Networks implemented from scratch with NumPy & linear algebra |
| RLFoundations | Reinforcement learning implementations from scratch in Python |
| JFA | Java fundamentals to advanced concepts |
Recent Project Repositories
| Repository | Description |
|---|---|
| Compass | CLI-based intelligent campus navigation system for IIITM Gwalior |
| Project QUBE | AI + social networking web app foundation using Gemini API & Django |
| SideProjects | Collection of beginner-to-advanced Python projects |
