CS undergrad specializing in AI/ML at Malla Reddy University, Hyderabad. I build machine learning systems for real-world problems — power grid resilience, IoT security, financial risk.
Currently: Final year B.Tech (CSE-AIML) | IEEE SPICES 2026 author | Heading to grad school Aug 2026
- ML for critical infrastructure — Power outage prediction using compound weather event modeling, XGBoost/LightGBM ensembles, H3 spatial indexing. AUC-ROC 0.967.
- NLP for security — BERT-based IoT command risk analysis, threat classification for smart home automation rules.
- Explainable AI — SHAP-based model interpretability for credit risk and energy systems.
Python XGBoost LightGBM scikit-learn PyTorch FastAPI Next.js PostgreSQL Docker H3 SHAP
| Project | What it does |
|---|---|
| outage-prediction-system | State-agnostic power outage forecasting with compound weather events. 138 features, calibrated uncertainty, cross-state generalization. |
| IoTGuard | BERT-powered IoT command risk analyzer with real-time threat classification |
| SecureIoT-NLP | NLP-based security/privacy risk detection for IoT automation |
| credit-risk-xai-project | Credit risk prediction with Random Forest + SHAP explainability |
Open to research collaborations and grad school opportunities.