# Aayush Jindal

> Software Engineer | Computer Vision Engineer | Robotics | UPenn

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/aayushjindal

## Work Experience
### Sr Perception Software Engineer @ Lucid Motors
Jan 2022 – Present | Newark, California, United States

### Software Engineer @ Oculii
Jan 2021 – Jan 2022 | United States

### Computer Vision Engineer @ FieldEquip
Jan 2020 – Jan 2021 | United States
•	Developed OCR(Optical Character Recognition) vision pipeline to process address details using images and QR codes in postal mails for mail sorting machines in the warehouse. (OpenCV, Pytesseract, Python, TensorFlow)
•	Designed and developed a Predictive Maintenance Machine learning model for industrial oil pumps (PyTorch, scikit-learn, Python) 
•	Worked on IoT pipeline to process real-time sensor data on AWS cloud. (MQTT, Mosquitto, C++)
•	Designed and Implemented One-Shot Learning Pipeline using Siamese Neural Network. (Keras, OpenCV, Python)
•	Designed and Developed architecture for OTA update (Over-the-air) pipeline using AWS lambda services. (AWS, C++, Bash, Docker)
•	Implemented web portal for Industrial customers to manage and control IoT devices across production lines. (Javascript, Java, Angular, AWS)

### Research Assistant @ University of Pennsylvania
Jan 2019 – Jan 2020 | Greater Philadelphia
Research Assistant for Assured Autonomy Project at PRECISE.
- Implemented publisher-subscriber model in ROS to extract ground truth data from UUV simulator. (ROS, Python, C++)
- Implemented a Linear Regression model on ground truth SONAR Image data to predict the submarine's range and heading. 
- Tested the reliability of the existing Linear regression model on SONAR Image Segmentation (SegNet) architecture by introducing noises in SONAR Images and comparing via ground truth values processed in separate pipelines. (PyTorch, Docker, Python, C++)

### Process Planning & Automation Engineer @ Tata Motors
Jan 2016 – Jan 2018 | Pantnagar
• Worked on integrating automatic conveyor, Robotic Arms, and Gantry systems in the manufacturing line to increase quality and productivity.
• Modified and re-designed the Engine block manufacturing line to ramp up production capacity from 250 units/day to 500 units/day.
• Designed and Developed machining fixtures to incorporate engine blocks machining across multiple models.
• Worked on Marposs Automated Engine measurement Systems to improve Quality Control checks for Engine head and blocks before entering assembly lines.


## Education
### MSE in MEAM; Robotics; Computer Vision; Machine Learning
University of Pennsylvania

### National Institute of Technology Kurukshetra


## Contact & Social
- LinkedIn: https://linkedin.com/in/aayush-jindal
- GitHub: https://github.com/arsjindal

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Source: https://flows.cv/aayushjindal
JSON Resume: https://flows.cv/aayushjindal/resume.json
Last updated: 2026-03-29