M Rohith
Robotics engineer focused on perception, planning, and autonomous systems. Building driverless stacks, warehouse AMR navigation, and AI-powered pipelines.
🎓 Education
B.Tech Computer Science · VIT Vellore · 2025
💼 Current Role
Robotics Software Engineer / Founder's Office Associate · Antropi Robotics
🏷 Focus Areas
Perception
Planning
Simulation
ROS 2
Computer Vision
ML / DL
Experience
Antropi Robotics
Dec 2025 – Present
- Building robotics software for autonomous mobile robot workflows and warehouse use cases.
- Supporting founder's office work across product, research, and operations.
- Testing AMR navigation and mapping in simulation for warehouse movement.
- Developed a prototype for lights-out CNC automation.
- Conducted market and competitor research to support business decisions.
Autonomous Systems Officer
Team Ojas Racing · Dec 2022 – Jun 2025
- Represented India at Formula Student Germany 2024, Hockenheimring.
- Built the driverless software stack and simulator-based testing workflow.
- Secured sponsorships and led technical mentorship for juniors.
Research Internship
National University of Singapore · Dec 2023 – Jan 2024
- Built a real-time sign language recognition pipeline using MediaPipe and LSTM.
- Awarded Grade A for technical execution and innovation.
Machine Learning Intern
Ecoprosus India Pvt. Ltd. · Oct 2023 – Dec 2023
- Built a real-time ALPR (Automatic License Plate Recognition) system.
- Led dataset annotation and model tuning to improve robustness.
Projects
Projects
Some of my public projects I have made so far.
Beginner Projects · ROS 2
Beginner projects I made while learning ROS 2 and Physical AI.
← swipe to see full year →
Research
Crime Forecasting using ARIMA–ANN–Random Forest
Hybrid model trained on Mumbai Police crime datasets. Published at IEEE Global AI Summit 2024.
↗ DOI 10.1109/GlobalAISummit
IEEE Global AI Summit 2024
Air Passenger Demand Forecasting using Spatial GAM
Modeled geoeconomic influence using GAM and Spatial GAM. Adjusted R² of 0.925.
↗ DOI 10.21203/rs.3.rs-5549189
Preprint · rs.3