About Me.

The Deep Dive

I came to Concordia with an interest in Chip Design. Computer Engineering was a deliberate choice aimed at semiconductor and low level systems work. Robotics was not the plan. I signed up for a competition just to participate, which meant I had to build a robot. That robot did not perform well. What mattered was that I immediately wanted to build a better one.

I interned at Microchip Technology, validating 800G Ethernet PHYs and receiving training on NASA’s HPSC spaceflight computing architecture. The work was solid and technically rigorous. At the same time, I was leading and building projects through IEEE Concordia, spanning robotics, embedded electronics, FPGA design, and IoT automation. That breadth became intentional, not accidental.

After qualifying in the Quebec Engineering Competition, the direction became clear. I did not want to be the person manufacturing the chip. I wanted to be the one using it to build intelligent machines. At Canadian Engineering Competition (Nationals), our team won by such a margin that it surprised even the organizers by rejecting the expected approach and committing to a out of box solution.

Since then, I have focused fully on robotics. I completed a research internship at CUARL working on an articulated wheel-legged rover, developing ROS2 Teleopeation, Moveit2 pipelines and perception based position estimation system. I am currently co leading MIMIC Capstone Project in partnership with McGill’s MRL, building Mobile Bimanual robotic systems that learn from human demonstration using Imitation Learning and VLA Models.