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DA
Divyansh Agarwal
Junior Machine Learning Engineer specializing in computer vision and LLM applications
New York, NYResearch Assistant3 years experienceJuniorArtificial IntelligenceAerospace & DefenseAutomotive
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About
Built and led an autonomous driving software effort for Formula Student, owning the full autonomy stack (perception, planning, control) orchestrated in ROS. Implemented stereo depth + YOLO object detection, RRT/RRT* planning, and a robust SLAM pipeline (Kalman filter, submapping) while leveraging Gazebo simulation and modern deployment tooling (Docker/Kubernetes, AWS, GitHub Actions CI/CD).
Experience
Research AssistantNeuroinformatics Lab, New York University
Data AnalystAdeptmind
Computer Vision InternEnord
Head Of Autonomous DepartmentStudent Team OJAS
Education
New York University, Tandon School of Engineeringmaster, Computer Science (2025)
VIT University, Vellorebachelor, Computer Science and Engineering and Business Systems (2023)
Key Strengths
- Founded and led an autonomous driving/robotics department for Formula Student
- End-to-end autonomy stack ownership (perception, planning, control) using ROS
- Built stereo-depth + YOLO-based perception pipeline and fused multi-sensor data in ROS
- Implemented RRT/RRT* path planning for autonomous driving
- Optimized SLAM compute load using submapping; integrated Kalman filter for robustness
- Established simulation-to-deployment workflow using Gazebo, Docker/Kubernetes, AWS, and GitHub Actions CI/CD
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