AI & LLM Applications
Building AI-first software products using large language models, voice interfaces, and automation pipelines for business operations and product workflows.
- Voice AI agents
- LLM copilots
- Agentic workflows
- Business automation tools

Maruf Ahmad
AI-Integrated Embedded Systems Engineer
Biomedical Researcher | IoT & Startup Product Builder
I am Maruf Ahmad, an AI and embedded systems product builder based in Saskatchewan, Canada. I build intelligent systems that connect AI, LLMs, embedded electronics, sensors, computer vision, cloud software, and biomedical research.
About
I am a technology builder focused on developing practical products that combine embedded systems, artificial intelligence, biomedical research, IoT, and cloud-based software. My work spans from sensor-based biomedical devices and rehabilitation research tools to AI-powered voice assistants, agricultural marketplaces, automation systems, and startup product development.
I currently work with the Department of Kinesiology and Health Studies at the University of Regina as a Biomedical Research and Embedded Systems Engineer, where I contribute to research-focused hardware, software, sensing, data acquisition, and visualization systems.
Alongside my research and engineering work, I am building startup-oriented technology solutions through SaskTechLab, with a focus on AI assistants, embedded devices, automation tools, and digital transformation for small businesses and emerging industries.
Biomedical Research & Embedded Systems Engineer
Department of Kinesiology and Health Studies, University of Regina
Saskatchewan, Canada
Founder Venture
SaskTechLab is my startup-focused technology venture where I design and build AI-powered physical and digital products for founders, researchers, and growing businesses. The focus is practical delivery: shipping AI-first systems that connect software intelligence with embedded devices, IoT infrastructure, and automation workflows.
Core focus areas include AI-first product development, LLM applications, edge AI devices, computer vision systems, AgTech solutions, and operations automation.
Capabilities
From edge hardware to AI software, I build intelligent systems that connect LLMs, embedded electronics, IoT, computer vision, and biomedical technology.
Building AI-first software products using large language models, voice interfaces, and automation pipelines for business operations and product workflows.
Designing embedded products where microcontrollers, sensors, and edge logic are integrated with AI-driven behavior and cloud intelligence.
Developing connected edge systems that combine real-time sensing, IoT communication, and AI-assisted monitoring for industrial and startup use cases.
Creating biomedical sensing and analysis tools that support rehabilitation research, human movement studies, and data-driven clinical exploration.
Implementing real-time object detection, pose estimation, spatial tracking, and vision-based analysis systems using YOLO, OpenCV, and camera calibration techniques.
Rapidly prototyping and building minimum viable products for early-stage startups and businesses, covering software, hardware, and cloud deployment.
Portfolio
A selection of technology products, research tools, and startup ventures I have built or contributed to.

An AI-ready biomedical sensing and visualization platform designed to measure grip force, pressure distribution, object trajectory, and hand interaction patterns for rehabilitation and neurological research.

A technology venture focused on helping businesses and organizations develop custom software, embedded devices, AI solutions, IoT systems, and early-stage MVPs.

An LLM-powered voice automation product designed to handle customer calls, collect information, answer questions, schedule appointments, and automate business communication workflows.

An AgTech marketplace platform designed to connect livestock feed buyers and sellers, with future potential for AI-driven pricing, supply intelligence, and demand forecasting.

An AI-guided autonomous machine concept focused on snow removal using GPS, computer vision, path planning, obstacle detection, and adaptive navigation for Canadian winter environments.
Research & Innovation
My research interests focus on the intersection of biomedical engineering, embedded systems, artificial intelligence, and human-centered technology.
At the University of Regina, I contribute to biomedical and rehabilitation-focused technology development, including sensor systems, pressure measurement, motion tracking, signal processing, and interactive research tools.
Department of Kinesiology and Health Studies
University of Regina, Saskatchewan
Research Areas
Services
From early-stage concept to deployed product — I offer end-to-end engineering, AI development, and consulting services.
Design and build AI-powered applications, LLM integrations, voice assistants, and intelligent automation systems for business and research.
From schematic to working firmware — microcontroller-based product prototyping, sensor integration, and real-time embedded software development.
End-to-end IoT device development including wireless communication, cloud connectivity, data visualization dashboards, and remote monitoring.
Biomedical device prototyping for research and clinical settings, including force sensing, motion tracking, pressure mapping, and data acquisition systems.
Rapid development of functional MVPs for startups and early-stage products, covering software, hardware, and cloud systems with a launch-ready mindset.
Strategic and technical guidance on embedded systems architecture, AI integration, IoT design, cloud deployment, and technology product development roadmaps.
Technology
Tools and technologies I work with across AI, embedded systems, computer vision, and cloud deployment.
Why Work With Me
I bring a rare combination of hardware, software, AI, biomedical research, and startup experience. This allows me to think beyond one layer of a product and understand the full system — from sensors and firmware to cloud platforms, AI models, user interfaces, and business use cases.
Hands-on experience with STM32, ESP32, firmware development, sensor integration, and real-time embedded software.
Active contributor to biomedical and rehabilitation-focused technology development at the University of Regina.
Building real AI products with LLMs, voice interfaces, and agentic systems — not just demos, but deployable systems.
Focused on building things that work, ship on time, and deliver value — with a clear understanding of product-market fit.
Everything I build is tested on real hardware, real environments, and real deployment infrastructure — not just theory.
Rare ability to move fluidly between research contexts, engineering constraints, and business outcomes in one role.
Contact
I am open to startup collaboration, research partnership, consulting, MVP development, AI product development, and embedded systems prototyping opportunities.