I am an aspiring AI/ML Researcher driven by a deep fascination with understanding complex systems, from Deep Learning architectures to the intricate workings of the human brain. My research interests are centered around Deep Learning and Large Language Models (LLMs), with a particular focus on mechanistic interpretability and drawing inspiration from connectomics. With a background in Computer Science and Engineering, I am eager to contribute to cutting-edge research and am actively seeking AI/ML research internships to further my understanding and make impactful contributions to the field.
- Mechanistic Interpretability: Passionate about understanding the inner workings of complex AI systems and biological neural networks. I believe that truly understanding how these systems arrive at their outputs is crucial for advancing AI and ensuring its safety and reliability.
- Human Brain & Connectomics: Captivated by the design and architecture of the human brain and inspired by advancements in connectomics. I am exploring how insights from neuroscience and the human connectome can inform and inspire the next generation of AI architectures, potentially leading to breakthroughs in artificial neural networks.
- Generative Models and Architectural Complexity: Fascinated by the architectural innovations in generative models like Stable Diffusion, particularly their use of VAEs and UNet. I am eager to contribute to the development and understanding of these increasingly intricate AI systems.
- B.Tech in Computer Science & Engineering.
- Completed the Machine Learning Specialization on Coursera, strengthening my knowledge of core machine learning concepts and methodologies.
- Programming Languages: Python, TensorFlow, PyTorch, Keras
- Research Tools: Jupyter, LaTeX, Git
- Libraries/Frameworks: NumPy, SciPy, OpenCV, Hugging Face
I am actively seeking research intern roles where I can apply my knowledge of Deep Learning and Machine Learning, particularly in areas related to mechanistic interpretability, brain-inspired AI, and generative models. If you are working on exciting research or have internship opportunities, I would love to connect!