Computer Science graduate and researcher with a growing focus on deep learning, computer vision, and graph-based learning. My research interests center on building intelligent systems that combine vision, IoT, and neural networks to solve real-world problems.
I've worked across multimodal deep learning, computer vision, IoT-integrated systems, embedded platforms, and smart automation applications.
Currently exploring LangChain, FastAPI, and Docker as I move deeper into LLMs and agentic AI, while continuing to build full-stack apps.
ML / DL: PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, SHAP / XAI Currently Learning: LangChain, FastAPI, Docker, LLMs / Agentic AI Web: React, Node.js, Express.js, MongoDB, Firebase, RESTful APIs Languages: Python, C++, JavaScript Tools: Git, GitHub, VS Code, Postman, Kaggle, Google Colab, Jupyter



