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Ontario, Canada
Robotics / Artificial Intelligence / SLAM / LiDAR Mapping / Intelligent Infrastructure
Engineering intelligent infrastructure through robotics, artificial intelligence and construction technology.
Electrical & Computer Engineer · MESc Researcher · Technology Builder
I am an Electrical & Computer Engineer and MESc researcher at Western University. My work focuses on autonomous infrastructure inspection using robotics, LiDAR, computer vision, sensor fusion and SLAM.
My background spans electrical systems, software development, networking, cloud computing, embedded systems, construction technology and project leadership. I am most interested in projects where digital systems interact with real environments.
I want to create technologies that improve how infrastructure is inspected, constructed, managed and understood.
Electrical & Computer Engineering
Core discipline
MESc Researcher
Western University
Robotics & SLAM
Perception & mapping
CCNA Certified
Networking
AWS Certified
Cloud Practitioner
Construction Technology
Field experience
These fields are usually treated separately. I believe the most valuable systems live at their intersection — where sensing, intelligence, hardware and the built environment come together.
My graduate research explores how unmanned ground vehicles can use LiDAR, RGB-D cameras, computer vision and SLAM to map and inspect infrastructure — from raw sensor data to inspection-ready digital twins.
An autonomous ground vehicle carries the sensing payload into infrastructure environments where inspection is slow, subjective or unsafe for people.
A rotating LiDAR sweeps the environment, measuring precise distances to surfaces around the vehicle as the foundation for 3D perception.
Each laser return becomes a measured point. Geometric features are extracted from the sweep to anchor motion estimation.
Thousands of returns accumulate into a dense point cloud — a raw 3D reconstruction of the surrounding structure.
By tracking how features move between scans, the system estimates the vehicle's trajectory through the environment.
RGB-D cameras add color and dense depth. Fusing LiDAR, vision and inertial data yields perception more robust than any single sensor.
SLAM jointly refines where the robot is and what the world looks like — localizing the platform while building a consistent map.
Offline refinement corrects drift and consolidates the map into a structured, inspection-ready digital representation.
The finished map feeds infrastructure inspection, structural health monitoring and digital twins — connecting the physical world to digital analysis.
Robotics, AI, embedded systems, construction technology and software — built end to end.
Research, robotics, networking, electrical engineering and leadership — the throughline is systems that connect the digital and physical worlds.
ProCon · Ontario, Canada
Construction and project-management work, including implementation and day-to-day use of BuilderTrend for coordination, documentation and workflows.
Western University · London, ON
Thesis-based MESc researching SLAM, computer vision, large language models, deep learning and smart cities — supervised by Dr. Soodeh Nikan (explainable AI for autonomous vehicles, edge-optimized deep neural networks) and Dr. Ayan Sadhu (Canada Research Chair, Smart & Sustainable Civil Infrastructure; Director, Smart Cities and Communities Lab).
Autonomous Robotics Club (WEAP) · London, ON
Developed and evaluated perception pipelines for autonomous navigation using ROS and PyTorch, independently verifying model outputs against ground-truth measurements.
Cultural Club · Western University, London, ON
Vice President of Marketing for a cultural club — leading branding, communications and marketing initiatives.
Crystal Networks · Riyadh, Saudi Arabia
Applied CCNA-level networking knowledge to independently analyze client technical requirements and verify proposed network designs against performance and security standards prior to implementation.
First Projects · Riyadh, Saudi Arabia
Developed AutoCAD electrical schematics and single-line diagrams, reviewing designs for accuracy and optimizing layouts to improve efficiency across multiple projects.
Crystal Networks · Riyadh, Saudi Arabia
Conducted market research, forecasting and structured reporting to support technical business growth decisions within the systems integration field.
Undergraduate engineering flowing into thesis-based graduate research.
May 2026 – May 2028 (Expected)
Software Engineering (ECE Department)
Western University
Thesis-based graduate research supervised by Dr. Soodeh Nikan and Dr. Ayan Sadhu (Canada Research Chair, Smart & Sustainable Civil Infrastructure).
Focus: SLAM, computer vision, LLMs, deep learning and smart cities
Graduated April 2026
Electrical & Computer Engineering
Western University
Relevant coursework: Real-Time and Embedded Systems, Project Planning & Risk Management.
Engineering Leadership and Innovation
Western University
Focused on leading engineering teams and building technology ventures.
Completed credentials shown in full; planned ones as outlines in progress.
Cisco
Amazon Web Services
CompTIA
MIT Institute for Data, Systems, and Society
IBM
PMI
Amazon Web Services
Amazon Web Services
Organized by domain rather than misleading percentages. Related areas connect — the value is in how they combine.
Perception, mapping and localization for autonomous ground vehicles.
I want to build technologies that connect the physical and digital worlds. My long-term focus is intelligent infrastructure: systems that can inspect, map, manage and improve buildings, roads and construction environments.
Robotics, SLAM and LiDAR research that makes infrastructure machine-readable.
Turning research into software and hardware products for real-world inspection and building.
Building and leading technology companies that serve developers, builders and governments.
Systems that inspect, map, manage and improve the built environment at scale.
Future areas of interest
I'm interested in ambitious engineering projects, research collaborations, robotics, AI, construction technology, smart infrastructure and opportunities to create meaningful systems.