I support the engineering efforts of Mentor 360.

Dhali is a Web3 platform that enables code monetisation in minutes. My responsibilities:

• With my co-founder, raised ~$110000 equity free funding
• Built landing page; marketplace web application (Flutter); backend, layer-2 transaction tracking and cryptographic verification, microservice deployment.
• Python, Go, Dart, JS, React, Docker, Kubernetes, GCP
• Pitching
• Client, collaborator, and public engagement

Zenith AI was developing ML for novel drug discovery. My responsibilities were:

• Developed Qt5 based frontend for graphical programming editor; developed ML pipeline engine; built various DVC based data / model reconstruction pipelines; developed embedded computer vision solution for OT3 robot camera calibration
• C++, Python, JS/TS, AWS
• Project planning and team leadership

AnyVision developed computer vision solutions powered by ML. My responsibilities were:

• Developed and deployed various computer vision solutions (face, body, pose recognition) to various platforms, including Ambarella, Nvidia, Qualcomm, Arm, Intel.
• Embedded C/C++, Python, Android (Java)
• Computer vision research
• Visiting clients around the world (Taiwan, South Korea, Israel, San Francisco, London)
• Project planning and team leadership

I was a member of NQIT. Among other things, my research involved using quantum mechanical phenomena (in particular, entanglement) to understand how we can develop networked measurement systems that can make more accurate measurements of the world we live in. I also studied the relationships between graph Von Neumann entropy and graph structure here and there.

I was supervised by Prof Justin Coon. My research answered the question, how much information can you transmit through a communications channel? Information theory was used to answer this question for multi-hop, multi-antenna wireless networks. I was most proud of this publication.