- 🚀 Machine Learning Engineer II at Branch International, working on credit modeling, A/B testing, and ML infrastructure.
- 💼 Previously at Groww (ML Engineer II), building credit risk models, ECL optimization, and LLM-powered financial analytics.
- 🎓 B.Tech. in Metallurgical & Materials Engineering from IIT Roorkee (2019–2023).
- 🔬 Passionate about Machine Learning, Credit Risk Modeling, LLMs, and scalable ML systems.
- 📄
My Resume
- Credit Risk ML: A-Score / B-Score modeling, ECL optimization, loan propensity, and scorecard development.
- Ensemble & Deployment Pipelines: End-to-end training pipelines, weighted-average ensembles, and chained ML node deployments (Taktile).
- LLM Applications: Multilingual voice bots (Deepgram + Gemini), Account Aggregator summary analysis for credit underwriting.
- ML Infrastructure: Model monitoring dashboards (Prometheus, Grafana), MetaFlow retraining pipelines, bureau migrations, and real-time ML service scaling.
Languages: Python, SQL (BigQuery), C++
ML/DS: XGBoost, LightGBM, PyTorch, Scikit-learn, Optuna, SHAP, MetaFlow
Data & Viz: pandas, NumPy, Seaborn, Matplotlib
Infra & Cloud: GCP, AWS, Git, Prometheus, Grafana, Taktile, Krakend, FastAPI
LLMs: Claude, Gemini, Deepgram, BERT
