cv
Basics
| Name | Anurag Sahu |
| Label | Software Development Engineer |
| anuragsahu926@gmail.com | |
| Phone | +(91) 8602043478 |
| Url | https://anuragsahu.github.io/ |
| Summary | Software Development & Computer Vision, OlaElectric | IIIT-H |
Work
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2024.06 - Present Software Development Engineer 2
Ola Electric
Developing Computer Vision Based Inspection Systems
- Designed and implemented AI‑based vision pipelines for robot‑based pick and place, leveraging segmentation models and depth filters for precise operations.
- Architected and deployed 3D inspection systems, including camera calibration and end‑to‑end software pipelines, on edge devices and Servers for real‑time manufacturing applications.
- Led the training and integration of YOLOv8‑based object detection and segmentation models into vision inspection systems, improving defect detection accuracy and speed.
- Collaborated across teams to deploy scalable solutions for manufacturing automation using computer vision and deep learning techniques.
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2022.05 - 2024.06 Software Development Engineer 1
Ola Electric
Developing Computer Vision Based Inspection Systems
- Developed and maintained a Manufacturing Execution System (MES) that integrated data from PLCs and manual inputs, enabling real‑time dashboards and reporting for factory operations.
- Led development from PoC to production, architecting a Python‑based MES with PostgreSQL for scalable data handling and analytics.
- Reduced inspection system cycle time from 20 seconds to 2 seconds through parallelization of tasks and optimization of data pipelines.
- Implemented various computer vision inspection systems for 2D and 3D applications on edge and cloud platforms, enabling precise defect detection and dimension measurement.
- Conducted multi‑camera calibration for 3D dimension measurement systems, enhancing accuracy and reliability in manufacturing workflows.
Volunteer
Education
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2018.06 - 2022.06 Hyderabad, India
BTech + MS by Research
IIIT Hyderabad
Computer Science
- Mobile Robotics
- Computer Vision
- Statistical Methods in AI