Start with the problem.
Define what the system needs to do, who it serves, and the conditions it needs to work in.
ABOUT / Asif Kingshuk
I’m Kingshuk. I build at the intersection of hardware, firmware, and the systems that connect them.
My work has taken me from embedded product development and PCB design to IoT systems and engineering leadership. I’m interested in what happens between the layers: how a physical signal becomes useful information, and how every decision along the way affects the complete system.
01 / THE THREAD THROUGH THE WORK
Programming and robotics were my starting point. Competitive robotics and technical education led into embedded product development, commercial IoT, and medical-device projects. That path expanded my focus from individual components to the architecture of the complete system.
Today, I’m Lead Hardware and Systems Engineer at HiveTech AI.
Follow my career02 / HOW I APPROACH THE WORK
Define what the system needs to do, who it serves, and the conditions it needs to work in.
Consider the hardware, firmware, connectivity, and software together. Decisions at one layer affect the others.
Connect the technical decisions to the complete product, from its physical interface to the software behind it.
03 / THE FOUNDATION
Engineering, software, and a broader perspective on product and business.

Master of Science
Electrical and Computer Engineering

Bachelor of Science
Computer Science and Engineering
Minor in Business Administration
04 / CURIOSITY IN COMPETITION
Finalist
Runner-Up
Finalist
National Winner
Winner
National Finalist
05 / SHARING THE WORK
Lead engineering and project-management responsibilities across hardware, embedded systems, and product development.
Robotics mentoring, technical training, and programming instruction, alongside involvement in technical clubs.
Leadership & teaching06 / WHAT KEEPS ME CURIOUS
How sensors, embedded software, and connectivity turn physical signals into useful information.
Bringing intelligence closer to devices, within the constraints of embedded hardware.
Self-hosted services, personal infrastructure, and local AI experimentation.
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