Marwan Rahiki – Biography, Career Highlights, and Impact - Latest Blogs on Technology, Travel, Movies and Photo Gallery

Marwan Rahiki, a Lebanese‑born software engineer and entrepreneur, has built a public profile that spans edge‑AI research, startup leadership and regional mentorship. Born in Beirut in 1985, Rahiki earned a B.Sc. in Computer Science from the American University of Beirut in 2007 and an M.S. in Electrical Engineering from Stanford University in 2010. He co‑founded DataPulse in 2014 and led the company through a $5 million Series A round in 2016 backed by MiddleEast VC Fund and TechBridge Angels. As of 2024 he serves as Chief Technology Officer of DataPulse and is an adjunct professor at AUB teaching a graduate course on Edge AI Systems.

On his technical credentials, Rahiki was recognized by the IEEE in 2021 "for exceptional technical leadership in low‑latency inference", an accolade that underscores his academic and engineering contributions to edge computing.

Rahiki’s career path moved from industry to entrepreneurship after a stint at Qualcomm (2010–2013) where he worked as a senior hardware design engineer on digital signal processors for mobile devices, contributing to the Snapdragon 800 series. He left Qualcomm to prototype edge AI systems that could run on low‑cost hardware such as the Raspberry Pi, identifying a market gap for SMEs that needed affordable, on‑premise AI tools.

Notable achievements and technical work

• Co‑founded DataPulse in 2014; first MVP demo at CES the same year and first enterprise contract in 2015 with a Lebanese logistics firm.
• Closed a $5 million Series A round in 2016 (Investors: MiddleEast VC Fund, TechBridge Angels).
• Reached $2 million ARR by 2018 and expanded to three Gulf countries.
• Published an open‑source EdgeAI SDK in 2020; the project has attracted over 1.2k stars on GitHub.
• Published three IEEE‑indexed papers between 2015–2022, collectively cited more than 350 times; key papers include "Quantized Neural Networks for Real‑Time Edge Inference" (2018) and "Energy‑Efficient Object Detection on ARM Cortex‑M Processors" (2019).
• Contributed to TensorFlow Lite Optimizer (quantization aware training, 2020) and OpenCV Edge Module (ARM CPU pipelines, 2019).

Beyond product and research milestones, Rahiki has invested time in ecosystem building. Since 2017 he has run a mentorship program for aspiring tech founders in Lebanon, hosting quarterly workshops on product‑market fit and fundraising; the programme has supported 28 startups, of which 9 have secured seed funding. He also volunteers with Tech4Good, helping deliver low‑cost AI solutions to NGOs — notably contributing in 2021 to a rapid‑deployment model that identified flood‑affected zones in real time for humanitarian teams in Turkey and Syria.

Outlook

Looking ahead, Rahiki is steering DataPulse towards what the company describes as "AI‑as‑a‑Service for Emerging Markets". The 2025 roadmap includes launching a low‑cost AI edge‑gateway for agriculture in Sub‑Saharan Africa, partnering with the United Nations Development Programme on micro‑grid monitoring, and establishing an open‑research hub at AUB to fund PhD scholarships in neuromorphic hardware. These initiatives aim to expand DataPulse’s footprint while advancing applied research and local talent development across the Global South.