Building intelligent software at the intersection of Machine Learning, Backend Engineering, and Full-Stack Development. Focused on production-grade systems that scale.
Specialized engineering disciplines focusing on intelligent, performant systems.
Building production-grade classification, regression, and predictive models. Experienced in handling imbalanced real-world datasets and model metrics validation.
Developing scalable web APIs using Python, FastAPI, and Java. Adhering to SOLID principles, design patterns, and clean layered architectures.
Designing pipelines with Pandas, NumPy, and SQL. Transforming complex logistical and financial transactional data into actionable business intelligence.
A preview of production-ready systems designed to solve concrete problems.
"Integrating AI with web technologies to automate agricultural intelligence."
A production-grade full-stack platform providing smart agricultural analysis, REST API integration, and secure user management.
"Detecting financial fraud on highly imbalanced datasets using ML pipelines."
An end-to-end classification model built to detect fraudulent transactions using advanced sampling and pipeline engineering.
I'm currently seeking B.Tech internship and entry-level full-time roles in AI, Machine Learning, and Software Engineering.