AI & Computer Vision Algorithm Developer
• Keypoint Extraction: Utilized feature detection algorithm in Python library like Torch, OpenCV and with pybind11 converted into C++ to extract keypoints from each photo, leveraging GPU acceleration with CUDA for improved performance.
• Keypoint Matching: Implemented feature matching algorithms to match keypoints between adjacent photos. Optimized the matching process using parallel processing techniques on the GPU to handle large datasets efficiently.
• Object Detection with YOLO: Integrated YOLO model for object detection to filter out unwanted objects, such as moving vehicles or people, from the photos to improve keypoint matching.
• Image Stitching: Warped and stitched the images together based on the computed homographies.
Mobile App Full Stack Developer
• Deployed the 360 Photo Sphere Camera Mobile Application using React Native,
• Integrated RevenueCat for in-app purchases.
• Insert Social login with Firebase and insert Share function by branch.io and add in app notification by Onesignal.
• Built a backend server using Express.js and MongoDB Atlas Realm, enabling real-time data synchronization for over 50K+ active users
• Optimized AWS infrastructure (EC2 for server deployment, ECS for auto-scaling and SQS for concurrent requests handling), reducing server downtime by 20% and improving app load times by 40%.
• Maintained a robust CI/CD pipeline, reducing deployment time by 50%.
• Conducted daily stand-ups to align team members and Managed and tracked project tasks using Jira
• Published the application successfully:
Google Play: https://www.twine.net/signin filmdirector animator advert explainervideo video videoeditor video explainervideo advert animator filmdirector videoeditor…AI & Computer Vision Algorithm Developer
• Keypoint Extraction: Utilized feature detection algorithm in Python library like Torch, OpenCV and with pybind11 converted into C++ to extract keypoints from each photo, leveraging GPU acceleration with CUDA for improved performance.
• Keypoint Matching: Implemented feature matching algorithms to match keypoints between adjacent photos. Optimized the matching process using parallel processing techniques on the GPU to handle large datasets efficiently.
• Object Detection with YOLO: Integrated YOLO model for object detection to filter out unwanted objects, such as moving vehicles or people, from the photos to improve keypoint matching.
• Image Stitching: Warped and stitched the images together based on the computed homographies.
Mobile App Full Stack Developer
• Deployed the 360 Photo Sphere Camera Mobile Application using React Native,
• Integrated RevenueCat for in-app purchases.
• Insert Social login with Firebase and insert Share function by branch.io and add in app notification by Onesignal.
• Built a backend server using Express.js and MongoDB Atlas Realm, enabling real-time data synchronization for over 50K+ active users
• Optimized AWS infrastructure (EC2 for server deployment, ECS for auto-scaling and SQS for concurrent requests handling), reducing server downtime by 20% and improving app load times by 40%.
• Maintained a robust CI/CD pipeline, reducing deployment time by 50%.
• Conducted daily stand-ups to align team members and Managed and tracked project tasks using Jira
• Published the application successfully:
Google Play: https://www.twine.net/signin filmdirector animator advert explainervideo video videoeditor video explainervideo advert animator filmdirector videoeditorWW…