Hi, I'm
I build intelligence that can see, reason, and move.
Computer engineer working at the edge of physical AI, robotics, machine learning, and products built for the real world.
About
Curiosity has gravity.
I'm a Computer Engineering student at York University building systems at the boundary between software intelligence and the physical world.
My work spans autonomous perception, trustworthy AI, applied machine learning, and products used by real people. I move between research papers, robot stacks, production systems, and team leadership.
Experience
Selected trajectory
Risk Assurance Associate · AI Trust
Returned to PwC to continue building trustworthy enterprise AI systems across governance, cloud infrastructure, access management, and control assurance.
Working at the intersection of responsible AI, technical controls, and enterprise transformation.
Robotics Software Engineering Research Intern
Made an autonomous social robot more certain about what it sees, where people are, and where it should look next.
Integrated RGB-D sensing, YOLOv4, TensorRT/CUDA, DeepSORT, 3D localization, SLAM, Bayesian belief updates, and next-best-view planning.
Risk Assurance Associate · AI Trust
Worked across AI governance, cloud infrastructure, access management, and system controls for enterprise transformation programs.
Built an internal LLM-enabled assistant and used Python, SQL, Alteryx, and Power BI to turn control-testing results into remediation insights.
AI Research Intern
Researched how AI can bridge the learning gap between engineering professors and students.
Co-designed and evaluated an AI education platform with faculty and students, published the findings with CEEA, and collaborated with an international research network across Italy, Germany, Belgium, and Spain.
Founder & Founding Engineer
Started early: built a multi-vendor marketplace and learned to connect engineering decisions to customers and operations.
Coordinated vendors, inventory, logistics, and platform updates while improving organic traffic by 44%.
Physical AI
The new era
I build systems that perceive people, update beliefs under uncertainty, and choose where to look next—because the physical world never arrives as clean data.
ELDER COMPUTER VISION LAB
Scroll to bring it together
DingoBot / Active perception stack
Integrated a virtualized Linux/ROS stack combining accelerated human detection, multi-object tracking, 3D localization, SLAM, and next-best-view planning.
Artificial Intelligence / Machine Learning
Applied intelligence
Search the systems, signals, and AI work behind my projects.
INTERACTIVE MAPActive perception stack for a social robot: human detection, tracking, localization, belief updates, and next-best-view planning.
0.50 → 0.87 AUCFour products translated from ideas into working software.
04 PROJECTSA multi-tenant platform that turns static business pages into interactive AI pages grounded in business knowledge.
A RAG-powered learning platform that understands technical questions, course context, and engineering illustrations.
A career-guidance platform connecting a learner’s skills with market data and practical pathways forward.
An interactive 3D planetary exploration experience built from open NASA and ESA datasets.
Research
A question worth keeping
AI for engineering education
Began investigating how AI could bridge the learning gap between engineering professors and students.
Built and evaluated a production AI learning platform across requirements, architecture, testing, deployment, and monitoring.
Peer-reviewed publication
Turned the platform research into a peer-reviewed CEEA paper on AI-driven learning tools.
Connected the technical system with evidence from real engineering courses and faculty-student evaluation.
Montréal conference
Shared the work with the engineering-education research community in Montréal.
The project grew through collaboration with researchers across Italy, Germany, Belgium, and Spain.
DingoBot active perception
Moved from learning systems into embodied AI at the Elder Computer Vision Lab.
Built sensor-likelihood and Bayesian belief updates across ROS, RGB-D, YOLOv4, TensorRT, DeepSORT, 3D localization, SLAM, and next-best-view planning.
Leadership
Systems scale through people.
Co-founded one of the campus's fastest-growing clubs and led a 30-member cross-functional team serving industry clients.
Led delivery of GenAI dashboards for a $15M Alberta infrastructure facility, improving client engagement by 18%.
Developed a Mars rover prototype spanning embedded C/C++, LiDAR, sensing, and autonomous hardware-software integration.
Recognition across research, engineering, and entrepreneurship.
Skills
Tools follow the problem.
The languages, frameworks, infrastructure, and hardware I use to move from a model on paper to a system in the real world.
ROS · OpenCV · CUDA · TensorRT · RGB-D · SLAM
PyTorch · TensorFlow · RAG · LlamaIndex · model evaluation
Python · C/C++ · TypeScript · Java · SQL
AWS · Azure · GCP · Docker · Kubernetes · CI/CD
Arduino · Raspberry Pi · LiDAR · sensor integration