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

Real-time distributed bus booking platform modeling civilizational mobility networks with Spring Boot, React, Redis, and WebSockets.

• React + Spring Boot 3 + PostgreSQL + redis + distributed-systems + websocket + system-design + real-time-app + heritage-tech
  🔗 Repository | 🌐 Live Frontend

Open to collaborations in applied ML, robotics, intelligent manufacturing, or production systems. Feel free to reach out!