I am an applied machine learning engineer with a strong foundation in mechanical engineering, focused on building data-driven, production-ready ML systems for real-world engineering and robotic applications. My work bridges physics-based modeling, experimental data, robotics, and modern software engineering to deliver explainable, scalable, and deployable solutions.
- B.Tech in Mechanical Engineering — Vardhaman College of Engineering, Hyderabad
CGPA: 9.74 / 10 (2nd Rank in Branch, First Class with Distinction) - International Conference Speaker — ICAMS 2020 (Oral Presentation)
Title: Experimental Studies of Stellite-6 Hardfaced Layer on Ferrous Materials by TIG Surfacing Process
Authors: C Dinesh Chandra, B Rushikesh, Mohammed Numan, B Venkatesh
Journal: IOP Conference Series: Materials Science and Engineering
Volume: 998 (2020), 012061
DOI: 10.1088/1757-899X/998/1/012061
🔗 Full Paper: https://iopscience.iop.org/article/10.1088/1757-899X/998/1/012061
This experimental study on hardfacing alloys directly inspired my applied ML platform for material property prediction.
- Applied Machine Learning for Engineering & Robotic Systems
- Physics-Informed & Data-Driven Modeling
- Intelligent Manufacturing & Materials Informatics
- Robotics, Mechatronics & Control Systems
- Explainable AI (SHAP, feature attribution)
- ML Deployment, MLOps & Production Systems
- Finite Element Analysis (ANSYS) & Simulation-Driven Design
Research-grade ML platform predicting mechanical and oxidation properties of hardfaced alloys (grounded in my published experimental work).
- Random Forest + Linear Regression | SHAP Explainability | Flask Web App
🔗 Repository | 🌐 Live Demo
Physics-informed ML system optimizing blade performance using synthetic ANSYS-derived datasets.
- Random Forest Regressor | Interactive Flask Dashboard
🔗 Repository | 🌐 Live Demo
Production-ready HR platform managing full employee lifecycle with AI-powered recruitment.
- Spring Boot 3 + Thymeleaf + Docker + CI/CD + RBAC
🔗 Repository | 🌐 Live Demo
Modern full-stack ticketing platform with real-time seat selection and secure bookings.
- React + Spring Boot 3 + PostgreSQL + JWT Auth
🔗 Repository | 🌐 Live Frontend
Open to collaborations in applied ML, robotics, intelligent manufacturing, or production systems. Feel free to reach out!