Gourav Agarwal

I’m a student and aspiring machine learning engineer focused on turning NLP and GenAI ideas into working, deployable systems. I enjoy building end-to-end solutions—from data pipelines to REST APIs—using clean, practical engineering.

Selected for GSSoC 2026 (AI/Agents Track), I contribute to production-grade open-source AI/Agents projects by building AI automation pipelines with Python, LangChain, and REST APIs. I value fast iteration, measurable outcomes, and collaboration with maintainers and teammates.

In April 2026, I was a Top Performer at the CodeNyx 36-Hour Hackathon (GDG On Campus CVR), where I designed, built, and deployed a full-stack ML-powered solution using Python, Flask, and Docker under intense time constraints. I’ve also completed multiple GenAI hackathons and built rapid NLP & ML prototypes using OpenAI APIs, Google AI Studio, Scikit-Learn, and Streamlit.

My projects reflect my preference for real-world impact: I built an AI-Powered Resume Analyzer & Job Recommender that extracted 50+ skills and improved matching accuracy by ~30% using spaCy/NLTK and cosine similarity, and I created analytics products with forecasting and dashboards in Bizpanion. I also ingested 2M+ government records on GCP and performed multi-dimensional analysis to surface enrollment anomalies correlated with lockdown timelines.