class Nehal:
role = "Aspiring AI & Data Engineer"
university = "Manipal Institute of Technology, Bengaluru (2023β2027)"
cgpa = "8.06 / 10.0"
building = ["ML pipelines", "adaptive auth systems", "forecasting models"]
beyond_code = "Charter President @ MAHE Bengaluru Toastmasters π€"
fun_fact = "Scored 99/100 in CS boards β the bug bit early π"I like building things that sit at the intersection of data, intelligence, and real-world impact.
Whether it's forecasting Cisco's supply chain or detecting financial fraud with Graph Neural Networks β
if it involves a model and a problem worth solving, I'm in.
| Project | What it does | Stack |
|---|---|---|
| π Campus Fortress | 3-tier adaptive auth with behavioral risk scoring β 90%+ fraud reduction | FastAPI, TensorFlow, PostgreSQL |
| π Cisco Forecast League | Hybrid demand forecasting across 30 products for Cisco's Global Supply Chain | XGBoost, LightGBM, Ensemble ML |
| π΅οΈ MuleGuard | Real-time UPI micro-structuring fraud detection using Graph Neural Networks | Python, GNN |
| Random Forest model decoding METAR/TAF reports into real-time summaries | Python, Scikit-learn |
- π₯ Cisco Champions League β Certified by Cisco's Director of Central Forecasting & Transformation
- π SDG Hackspace '25 β Top 70 out of 200+ teams (Aviation Weather Intelligence)
- π SRiJAN 2026 by Atos β Built Campus Fortress, a zero-latency adaptive auth system
- π€ Charter President β MAHE Bengaluru Toastmasters (chartered Feb 2026)
- π 99/100 in CS β CBSE Class 12 Board
AWS Cloud Careers Β· RESTful API Design Β· Cyber Security Β· Generative AI
Open to AI/ML internships, SDE roles, and research collabs. Let's build something worth talking about.