Professional Overview
Robotics & Automation Engineer with hands-on experience in robotics, computer vision, AI/ML, industrial automation, CAD, and simulation. Skilled in Python, ROS2, OpenCV, YOLO, MATLAB/Simulink, SolidWorks, and industrial robotics, with projects in autonomous systems, AI perception, inspection, and digital twins.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Worked on industrial robotics and automation systems in automotive manufacturing
- Supported robotic automation, troubleshooting, and production engineering activi
- Worked with industrial robots, PLCs, sensors, and automated systems.
- Used CAD and simulation tools for automation and engineering solutions.
- Collaborated with teams to solve manufacturing and automation challenges.
Key Achievements / KPIs
- Contributed to real-world robotics and automation projects at Bajaj Auto.
- Improved practical understanding of industrial robotic systems and automation.
- Supported engineering solutions for automotive manufacturing processes.
- Applied CAD, simulation, and robotics skills to production challenges.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Worked on industrial robotics and automation systems in automotive manufacturing
- Supported robotic automation, troubleshooting, and production engineering activi
- Worked with industrial robots, PLCs, sensors, and automated systems.
- Used CAD and simulation tools for automation and engineering solutions.
- Collaborated with teams to solve manufacturing and automation challenges.
Key Achievements / KPIs
- Contributed to real-world robotics and automation projects at Bajaj Auto.
- Improved practical understanding of industrial robotic systems and automation.
- Supported engineering solutions for automotive manufacturing processes.
- Applied CAD, simulation, and robotics skills to production challenges.
Education
Field of Study: Robotics and Automation
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
