Summary
Adi Ojha is a software developer and ML/AI researcher with eight years of hands-on experience building production-ready computer vision and NLP systems across healthcare, energy, and entertainment. Currently an SDE on Amazon Entertainment’s cross-platform player, he combines deep learning expertise (PyTorch, TensorFlow) with cloud-native engineering (AWS SageMaker, Lambda, S3) to deliver scalable microservices and edge solutions. He graduated summa cum laude in Computer Engineering from UT Austin and has a track record of turning research into impact—publishing explainable-AI work and deploying automations that cut inspection and pipeline latencies by large margins. Beyond engineering, he mentors and coaches through Toastmasters and education initiatives, helping others land roles and improve public speaking. An unusual blend of research rigor, product-focused engineering, and communication leadership makes him effective at shipping technically ambitious, user-centered systems.
8 years of coding experience
3 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Electronics Engineering, 3.99/4.0, Electrical and Computer Engineering, Electrical and Electronics Engineering, 3.99/4.0 at The University of Texas at Austin