I am a Machine Learning Engineer with 10+ years experience in machine learning, data science, and AI. I have been developing ML systems at scale since 2011 and have consulted with numerous start-ups to help them deliver on their AI solutions.

I worked as an Applied Machine Learning Engineer in one of Silicon Valley's fastest-growing start-ups, developing numerous audio-based solutions, such as the R&D of zero-shot voice cloning, implementation of NVIDIA's speech-related models, and optimizing audio-based data handling. 

Through freelancing, I hope to help many others demystify AI technologies and get working solutions to help them be ahead of the curve in the future.

Coding: 

- Proficient in all major Python/R packages for machine learning, data mining, and data visualization. (C++, MATLAB as secondary languages.) 

- Projects/domains I've worked in include: NLP, text classification, computer vision, object detection, fin-tech, ad-revenue prediction, probabilistic models, Bayesian networks, HMMs, Kalman filtering. 

Consulting: 

- Help clients plan initial stages of ML projects, understand ML fundamentals, and develop initial prototypes. 

- Deliverables: Video consultations, short writeups, PowerPoint presentations, and prototypes in Jupyter notebook. 

- Domains: NLP, computer vision, expert systems, stock price prediction, audio noise cancellation, recommendation systems.