Industry Experience
Anyware Robotics
Perception Engineer II [Jan 2024 – Present]- Leading perception development for robotic palletizing and depalletizing systems integrating multi-camera 3D vision, behavior trees, and fault-tolerant control.
- Built end-to-end active learning MLOps workflow using Ray, Label Studio, and foundation models for zero-shot labeling — reducing manual annotation by 40% and test-to-deploy time to 40 minutes.
- Developed large-scale synthetic data generation pipeline using Blender and StyleGAN3 domain randomization (21 styles), boosting mAP by +4.7 pp across unseen datasets.
- Deployed optimized models with ONNX + TensorRT on GPU edge devices for real-time inference (100 ms latency).
- Architected ROS 2 Humble perception and task-control stack with hierarchical state machines, reducing unplanned robot downtime by 35% across pilot cells.
PGP Glass Private Limited
Data Science Intern [July 2022 - August 2022]- Tech Stack: Catia, SolidWorks, Coppelia Sims (V-Rep Simulator), Python (PyBullet), C/C++.
- Deployed a quality control automation system for glass defect detection.
- Created Python scripts to generate intelligence reports from export databases.
Maruti Suzuki Private Limited
Data Science Intern [January 2022 - June 2022]- Tech Stack: Python (PySpark, PyTorch), C/C++, Congos, PowerBI, AWS, Git, IBM-Cp4d.
- Enhanced preprocessing pipeline with PySpark, improving speed and efficiency.
- Built a database for electric vehicle charging station locations.
- Developed a warning system for vehicle failure prediction.
Hero Motor Corp
Summer Intern [July 2021 - August 2021]- Tech Stack: Python, MS Office.
- Designed packaging labels in compliance with the Packaging Commodity Act.
- Conducted packaging data analysis and error detection using Python.
