I'm a physics student with hands-on experience across machine learning, web development, and technical documentation, currently researching diffusion models and quantum machine learning at Jadavpur University's CSE department.
My core toolkit is Python: PyTorch, TensorFlow, and scikit-learn for machine learning, and NumPy, Pandas, and Matplotlib for data analysis. I've used this on projects ranging from spectral analysis of quasar data to a safety app that placed 2nd at the Exathon hackathon.
On the development side, I build with HTML, CSS, TailwindCSS, and MongoDB — I designed and built the site for a college physics symposium, handling the event showcase and registration flow end to end.
I also typeset in LaTeX for anything that needs to read as precise and well-structured, and use Manim when a concept is better shown as an animation than explained in text.
I work directly with clients to figure out what a project actually needs before writing any code, and follow through from the first conversation to a finished result.