I am a Machine Learning Engineer with over 10 years of experience in machine learning, data science, and AI. I specialize in developing ML systems at scale, and have worked with a wide range of start-ups to deliver successful AI solutions.

I previously worked as an Applied Machine Learning Engineer at one of Silicon Valley's fastest-growing start-ups, where I developed numerous audio-based solutions. These included R&D for zero-shot voice cloning, implementation of NVIDIA's speech-related models, and optimization of audio-based data handling.

Now, as a freelancer, I aim to demystify AI technologies and help individuals and companies alike stay ahead of the curve. With my expertise in all major Python/R packages for machine learning, data mining, and data visualization, as well as proficiency in C++ and MATLAB, I have tackled projects in a wide range of domains. These include NLP, text classification, computer vision, object detection, fin-tech, ad-revenue prediction, probabilistic models, Bayesian networks, HMMs, and Kalman filtering.

In addition to my coding experience, I offer consulting services to help clients plan the initial stages of ML projects, understand ML fundamentals, and develop initial prototypes. My deliverables include video consultations, short writeups, PowerPoint presentations, and prototypes in Jupyter notebook. I have worked on projects in various domains, such as NLP, computer vision, expert systems, stock price prediction, audio noise cancellation, and recommendation systems.

I pride myself on being experienced, professional, and always delivering high-quality work. Thank you for considering my services, and I look forward to collaborating with you on your next project.