Professional experience.

Developing advanced robotics skills through autonomous mobile robotics, ROS 2, simulation, navigation, perception, manipulation, embedded systems, and multidisciplinary robotic systems design.

• Working on a team project to design and build an autonomous robot for identifying, retrieving, and sorting coloured objects.
• Implementing and testing navigation, perception, and control logic using ROS 2, Python, C++, MATLAB, and Gazebo.
• Collaborating across hardware and software subteams through structured design, validation, and integration cycles.

Worked on scalable financial-document processing systems involving PDF extraction, classification pipelines, backend development, and cloud deployment.

• Engineered extraction algorithms using C++, Python, and Java for 1000+ bank-statement PDF formats.
• Reduced manual processing effort by more than 90% through automated extraction workflows.
• Integrated LLM-based classification pipelines with over 95% accuracy for financial data categorisation.
• Designed and deployed AWS infrastructure using Lambda, Fargate, EC2, and S3 with 99.9% uptime.
• Supported sprint planning, code reviews, onboarding, and Agile delivery practices.

Led and contributed to engineering R&D projects involving computational modelling, steel process optimisation, simulation, product development, and laboratory coordination.

• Developed a Monte Carlo model to optimise grain boundary dynamics in Hot Band Annealing, reducing process time by 25%.
• Worked on a C# full-stack patent management system with cloud integration for faster competitor intelligence.
• Led development of a CFD and MHD simulation model for electromagnetic stirring, contributing to ₹1 crore business impact.
• Collaborated with IIT Bombay and cross-functional teams on electrical steel grade 50C350 optimisation.
• Presented research findings at the IIM-ATM 2023 conference.
• Managed fatigue and impact-testing laboratories and coordinated product development with clients including Siemens and Honda.

Built a strong foundation in mechanical engineering, product design, numerical modelling, simulation, programming, and interdisciplinary cyber-physical systems.

• Graduated with a CGPA of 8.57/10.
• Designed an electromechanical resonator using carbon nanotubes for antibunched phonon generation.
• Improved the operational temperature from below 1 K to 1.36 K through parametric FEM analysis.
• Implemented a parallel Canny Edge Detector using C++ and OpenMP, achieving 78.4% reduction in execution time and 4.77× speedup.

Worked on mechanical design, serviceability improvement, numerical modelling, FEM validation, and engineering automation tools.

• Designed a cam-based retention system to replace nut-bolt assemblies, reducing service time by approximately 50%.
• Developed a numerical model for Belleville spring pre-loading of 176 kN and verified it using FEM in PTC Creo.
• Created a VBA tool for motor grader surface-undulation calculations, reducing manual computation time.

Developed software tools for computer vision, deep learning data preparation, and CAD-related image processing workflows.

• Created a C++ data-preparation tool for CNN training, doubling dataset-processing speed.
• Integrated OpenCV and Windows Forms GUI for image manipulation.
• Enhanced a YOLOv3-based deep learning model in Python to detect CAD arrows, reducing manual work by 50%.

Took on student leadership roles involving product design, team coordination, assistive technology, event design, and social innovation.

• Led design of reclining-spring and locking mechanisms using Fusion 360 for assistive seating devices.
• Coordinated a 15-student team to develop an improved alpha prototype for the Active Living project.
• Led a 13-member design team for Shaastra, IIT Madras.