About Me

I am a Machine Learning Research Engineer at Apple, working in an R&D team to develop core machine learning technologies using Natural Language Processing, Computer Vision and produce amazing features across all Apple Platforms.

Previously, I was a Graduate Student in Electrical and Computer Engineering at Carnegie Mellon University, Pittsburgh, advised by Dr. Bhiksha Raj and Dr. Rita Singh.

My research interests include Computer Vision, Classical Machine Learning, and Quantum Machine Learning.

Projects

• PIWIMS: Physics Informed Warehouse Inventory Monitory via Synthetic Data Generation (Paper)
• Deep Infinite Mixture Latent Variable Models (Report, Code, Video)
• Improving the Neural Baseline Model for Scientific Relation Extraction (SciREX) (Report, Code)
• Quantum Image Processing (Report, Code)
• Quantum Boltzmann Machines (Report, Code)

Technical Talks

• Quantum Machine Learning & Quantum Noise, Guest Lecture, 17-617 Programming Quantum Computers, CMU, Fall 2021 (Slides)
• PIWIMS: Physics Informed Warehouse Inventory Monitory via Synthetic Data Generation, UbiComp 2021
• Intelligent Stock Market Gamification Models, AI for a Sustainable Future, CMU Tech Summit 2019
• The Future of Chatbots in the Travel Industry, FullStack Fest, Barcelona 2018, & PyCon Poland, 2018 (Video)