I’m a Mathematics student focused on machine learning, backend engineering, and data-driven systems. I enjoy building practical ML applications that connect mathematical concepts with real-world problems.
I built a breast cancer prediction system using an SVM classifier on the Wisconsin Diagnostic Breast Cancer dataset and deployed it through FastAPI for real-time predictions.
I also developed ProofMesh, an AI-assisted digital document forensics platform with APIs for OCR, metadata extraction, and image/PDF analysis, generating unified forensic reports.
For the ISRO × Hack2Skill Hackathon, I developed PlanetX, an exoplanet transit detection pipeline using NASA TESS light-curve data, BLS periodograms, and a Random Forest classifier, achieving 97% accuracy on the evaluation dataset.
I’m particularly interested in Machine Learning, AI, Backend Engineering, Quantitative Finance, and Scientific Computing, and I’m looking for opportunities where I can build, learn, and contribute to technically challenging projects.
