I am a passionate Machine Learning Intern and Computer Vision enthusiast with hands-on experience in deploying real-world AI applications. He actively works on projects involving YOLO-based object detection, OCR with EasyOCR, and video inference using Streamlit.
With experience in tools like Roboflow, CVAT, and AWS S3, Joel is always exploring innovative ways to bring AI into everyday useโwhether through Power BI dashboards, AI-based cricket analytics, or real-time vehicle detection systems.
๐ง Skills: Python, YOLOv5/v7/v8, Streamlit, EasyOCR, Pandas, OpenCV, MongoDB, AWS, Power BI
๐ Seeking: Remote opportunities in Computer Vision, Machine Learning, and Data Science
๐ฑ Motto: Building AI that mattersโat the edge and beyond.
๐ Nationality | ๐ฎ๐ณ India |
๐ก Residency | ๐ฎ๐ณ India |
๐ Location | ๐ฎ๐ณ India |
![]() |
rok.co/@joel_nadar |
๐ Website | bento.me/joelnadarai |
|
joe-ki333 |
|
joelnadarai |
|
https://www.linkedin.com/in/joelnadar123/ |
Skilled in | python machine learning computer vision yolo opencv easyocr streamlit pandas numpy matplotlib seaborn data analysis data visualization power bi aws sagemaker mongodb jetson nano object detection ocr video analytics model deployment data labeling roboflow cvat linux bash ubuntu jupyter dashboard annotation excel iot virtualbox |
Fluent in | englishhinditamilmarathi |
Preferred timezone | +4,+4.5,+5,+5.5,+6,+6.5,+7 |
Preferred annual pay (min) | $3,000/year |
Preferred hourly pay (min) | $10/hour |
Last seen | 4 months ago |
Signed up | 4 months ago |
Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2024 - 2024: Computer Vision Intern @ Sponsorlytix
2023 - 2025 : Master of Science in Data Science @ Kes College
2019 - 2022: Bachelor of Information Technology @ Wilson College