Mechatronics engineer with a combined interest in Machine Learning/AI, data science, and Robotics.
Hands-on experience spans underactuated system control (PID-stabilized quadcopter), operating a robotic
arm, UAV, and mobile robots using ROS and Gazebo, and end-to-end ML pipelines (classification models
deployed via Streamlit).
Open to opportunities spanning Robotics Research, AI/ML, and Data Science.
Relevant coursework: International Marketing, Industrial & Logistics Management, Strategic Management, Digital Business Models, Risk Management in Global Supply Chains, Corporate Governance.
Active participation in case studies, business simulations, and cross-cultural team projects.
Master's Thesis: Enabling a Sustainable Circular Economy through Industry 4.0 : Innovations, Challenges, and Future Prospects.
Project works:
Study of supply chain risk management in Toyota, Apple, and Unilever.
Study of the Evolution of Marketing.
Diversity in Human Resource Management.
Bachelor of Technology in Mechatronics Engineering with specialization in Robotics
Jun 2018 – May 2022 Chennai, India
SRM Institute of Science and Technology
Relevant coursework: Robotics & Mechatronics, Embedded Systems, Control Systems, Machine Design, Power Electronics.
Final-year project: Design and Fabrication of Smart Helmet Designing – focused on rider safety and embedded electronics.
Built a strong foundation in mechanical design, embedded programming, and automation systems — spanning both coursework and self-directed projects.
Projects
Smart Helmet
Developed a safety helmet integrated with embedded electronics for accident detection and rider protection.
Utilized Arduino, sensors, and wireless communication to trigger emergency alerts.
Improved safety response time by enabling automatic crash notification within seconds.
CNC Plotter
Designed and programmed a low-cost computer numerical control (CNC) plotter using stepper motors and Arduino.
Achieved high precision in plotting by implementing G-code interpretation and motion control algorithms.
Applied mechanical design principles and microcontroller programming for automation.
UAV - Autonomous Quadcopter
Built a quadcopter prototype with stability control systems for autonomous flight.
Applied PID control, motor calibration, and wireless communication modules.
Strengthened expertise in aerodynamics, system dynamics, and embedded systems.
Robotic Arm, UAV & Mobile Robot Operation
Operated and tested a robotic arm, a UAV, and mobile robot platforms as part of undergraduate robotics coursework.
Used ROS and Gazebo for simulation, control, and validation of robot behavior prior to hardware testing.
Multi-Disease Prediction System
Built and compared classification models (Logistic Regression, Random Forest, XGBoost) to predict Parkinson's, chronic kidney, and liver disease from clinical data.
Combined three independent, disease-specific pipelines into a single Streamlit application.
NLP pipeline classifying app reviews as positive, neutral, or negative, comparing classical ML (Naive Bayes, Logistic Regression, SVM) against an LSTM model on TF-IDF text features.
Used a leakage-safe train/test split at the unique-text level and documented the dataset's real limitations rather than overstating results.