Started preparing for JEE during the COVID lockdown and ended up at IGDTUW. College was where exploration became habit — clubs, projects, and a lot of late-night debugging.

Worked on algorithms and graph utilities — fixes for chordal graphs, node cut-sets, spanning trees, shortest path, and documentation. Contributed interactive notebooks for nx-guides.

Code: networkx

Ported AutoML services to a new cluster, enhanced UI for the Model Factory, added a Model Deployment Request form, and improved training/inference pipelines with newer APIs and varied data sources.

Working on EER systems using up-to-date NLP. Benchmarking generative models (LLama-3, GPT-4) and adapting models for domain-specific entity extraction in financial text.

• Personal Password Manager — Node.js, Express, MongoDB, EJS. MVC app with CRUD and a neat UI. (github)
• DCNN Chest X-ray Classifiers — TensorFlow & Keras: compared models for COVID/viral pneumonia classification; explored augmentation & transfer learning.

• Morgan Stanley Coding Challenge — one of 26 winners (800+ participants)
• Avery Dennison InvEnt Scholar — merit scholarship (Top 10, 2022)
• Winner, She Builds Hackathon — Best All Girls Team (solo entry)
• Speaker at PyCon India 2023 — “Complex Network Analysis in Economics” (also hosted a DevSprint for NetworkX)

Classification of Chest Radiography Scans for COVID-19 — Published in IEEE Xplore as part of AIST 2022 Conference.

• Organizer — PyLadies Delhi (events, sponsorships, mentoring)
• Co-founder & Technical Lead — The Arc (first-ever data science club at college; led building the club website)