Amity International School, Saket , done
Senior secondary finished. The last time anyone would hand me a curriculum and expect it to be enough.
05 / 06 The journey , a résumé would flatten this
Experience and achievements, told the only honest way , as a sequence, where each entry made the next one possible. Scroll from the certificate phase to the IIT Delhi lab.
3
products shipped with live URLs
25+
public repos , the reps behind them
6
competition selections, podiums and finals
2
internships , IIT Delhi research, Edunet AI
Senior secondary finished. The last time anyone would hand me a curriculum and expect it to be enough.
Computer science, class of 2028. Within a semester it was obvious the syllabus and the field were moving at different speeds , so the second, self-assigned curriculum started here too.
Microsoft & LinkedIn credentials in generative AI and Python. Useful vocabulary, honest starting point , and the moment I understood certificates are where learning starts, not where it counts. Everything after this is artifacts.
First win. BioVents: an AI-driven sustainable ventilation concept pitched as a replacement for traditional HVAC. Kaizen Technical Society. Proof that showing up with a built-out idea beats showing up with a deck.
First industry loop: supervised learning end-to-end, three-plus real datasets, scikit-learn and Pandas in anger. Feature engineering stopped being a lecture slide and became a Tuesday.
Six selected from 2,500+ applicants for a day inside Ankur Warikoo's startup. The selection was flattering; watching a real team make decisions at speed was the education. Recalibrated what 'ambitious' means.
GroomAI: an AI skincare companion for men, built to poke at a stereotype. Placed third at Delhi Technological University , and taught me more about pitching a product than building one.
Finalist at ProductathonAI (IIT Roorkee), PitchCafe 8.0 (IIIT Delhi) and Soch 5.0 (DTU). Three different campuses, three different judging panels, one compounding skill: explaining a technical idea to people with no reason to care.
SummaryAI, roastGPT, SignSpeak, SahayLink, Pathways , a run of small, fast, public experiments. Most won't matter individually. The cadence is the point: every one made the next one faster to build.
Prompt Optimizer, CareAI and the Sentiment Analyzer went from repos to case studies , deployed backends, live URLs, honest metrics. The difference from the streak before: these were built to be used, not just to learn.
Summer research internship on a Government of India project: institutional data aggregation at national scale. Built automated extraction, validation and enrichment pipelines in Python , web scraping, geocoding, cleaning , turning scattered public records into datasets people can actually make decisions with.
Deeper into LLM systems: evals, agents, retrieval. Prompt Optimizer v2. More writing. This entry updates as the work does , that's the whole idea of a public record.