Hi, my name is Zeeshan. I am a tinkerer and a maker with 13+ years of experience with 7+ years in startups. Here is my LinkedIn profile: https://linkedin.com/in/zeeshanejaz
Almost 2.5 years ago, I decided to reinvent myself as an ML practitioner. Last October I achieved my goal and started an R&D department in my company. I had to take 13 courses online from Coursera / Udemy and step down from my CTO position in the company. I hired my mentor who is an excellent Engineer and a brilliant Manager as my CTO (above myself) and got the freedom to do ML full-time. In three short months, I have delivered three NLP features and completed POC on a fourth one.
NLP is having a moment in history. Typically known as the ugly younger sibling of Computer Vision, it's only now that NLP is getting "good enough" to be practically useful. The key driver is the ability to do "transfer learning" on NLP models which was previously not easily achieved unlike in computer vision models. While computer vision systems make attractive demos, the bulk majority of business data is unstructured text. NLP has a lot more potential to help business as compared to computer vision.
My first-hand experience in NLP has left the impression that a lot is lacking in the MLOps space specifically in model training, fine-tuning, deployment, compute management/scalability, security, and service/application life-time management. I am looking to make a solution for this and need a partner for the validation phase.
I am looking for a business development partner to start a new company with. A potential co-founder needs to have a business-level understanding of DevOps, Cloud, and Machine Learning. Work experience in tech startups will be very valuable. I am happy to discuss the idea more on call etc. Add me on LinkedIn or comment here if interested.