Aditya Ganguly
@adityaganguly
Undergrad Researcher at Jadavpur University
Kolkata, West Bengal
Aditya Ganguly is a Computer Science graduate with experience as a Software Development Engineer Intern at Amazon Pay. He has conducted research on DeepFake Detection using hybrid CNN and Vision Transformer models. Proficient in Python, Java, and ML frameworks like TensorFlow and PyTorch, he has applied skills in areas including content recommendation systems and object detection.
Experience
Undergrad Researcher
Cmater lab, Jadavpur University
Worked on DeepFake Detection, developed a model utilizing a hybrid approach, utilizing both CNN’s and vision transformers. Achieved detection accuracy of over 99%. Published work on ViXNet: Vision Transformer with Xception Network for Deepfake based Video and Image Forgery Detection.
Software Development Engineer Intern
Amazon Pay
Worked on the migration of the recharges widget on Amazon Pay Dashboard to native Amazon Pay UI, to increase reusability and reduce rendering latency from 100 ms to 20 ms. Created a metrics dashboard to track click metrics, client and server side latency metrics. Set up relevant alarms on these metrics. Coordinated with Product Managers and Senior Engineers to carry out the end to end implementation, from design to deployment.
Education
Jadavpur University
Bachelor of Engineering
Computer Science and Engineering
Graduated from West Bengal, India.
Lamartiniere for Boys
Indian School Certificate Examination
Completed studies in West Bengal, India.
Licenses & Certifications
Deep Learning Specialization
Coursera