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-Enabled Embedded Systems Developer
Biomedical Researcher | IoT & Startup Product Builder
Founder, SaskTech Lab · Researcher, Department of Kinesiology & Health Studies, University of Regina · Builder of AI-integrated embedded and biomedical technology products
I build practical AI, embedded systems, IoT, and biomedical research technology solutions, from sensor-based hardware prototypes to LLM-powered applications and cloud-connected product MVPs.
About
I am Maruf Ahmad, a researcher and product developer based in Saskatchewan, Canada. My work connects AI, embedded systems, IoT, biomedical research technology, and startup product development.
I am a researcher with the Department of Kinesiology and Health Studies at the University of Regina and founder of SaskTech Lab.
I have experience with embedded systems, Python, STM32, ESP32, IoT, AI/LLM applications, biomedical tools, and web/cloud software. My focus is practical MVP development and real-world product delivery.
Researcher & Product Developer
Department of Kinesiology and Health Studies, University of Regina
Saskatchewan, Canada
Founder Venture
SaskTech Lab 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
Selected products and research technology builds focused on practical outcomes and deployable MVPs.

A biomedical research prototype for measuring grip force, pressure distribution, and object motion using embedded hardware, sensors, wireless communication, and Python-based visualization. Built with STM32/ESP32, pressure sensing, IMU motion tracking, and real-time data transfer for rehabilitation and motor-control research.

A Saskatchewan-based technology initiative focused on custom electronics, embedded systems, AI automation, IoT prototypes, and product MVP development for local businesses and research teams.

A digital marketplace platform related to agricultural feed and commodity exchange, supporting farmers and buyers with a web-based solution.

An AI-powered voice assistant concept for phone-based order taking, appointment booking, and business automation using LLMs, speech processing, and database integration.
Research & Publications
My research interests include biomedical signal processing, image processing, embedded AI, FPGA-based neural network implementation, telemedicine systems, and sensor-based rehabilitation technologies.
50
Citations
4
h-index
2
i10-index
Department of Kinesiology and Health Studies
University of Regina, Saskatchewan
Research Areas
Sensors, 2024
Focus: FPGA, neural networks, image classification, low-power AI hardware
Frontiers in Neurology, 2026
Focus: neurophysiology, multiple sclerosis, rehabilitation research
Healthcare Technology Initiative
Focus: telemedicine, healthcare technology, rural health systems
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.
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, product constraints, and business outcomes in one role.
Contact
Available for research technology collaboration, embedded/IoT prototypes, AI automation projects, and MVP development.
To avoid spam, direct email is not listed publicly. Please use the contact form and I will respond by email.