- Marwan Rahiki co‑founded DataPulse in 2014, securing $5 million Series A funding in 2016.
- He holds a B.Sc. from AUB (2007) and an M.S. from Stanford (2010), and has authored three IEEE‑indexed papers.
- Rahiki contributed to TensorFlow Lite Optimizer and the OpenCV Edge Module, enhancing AI performance on low‑power devices.
Marwan Rahiki is a Lebanese‑born software engineer and tech entrepreneur best known for co‑founding the AI‑analytics startup DataPulse, which secured $5 million in Series A funding in 2016. He specializes in edge‑AI optimization and has authored three peer‑reviewed papers on low‑latency inference. His public profile combines technical contributions, startup leadership, and mentorship in the Middle‑East tech ecosystem.
Who is Marwan Rahiki?
Marwan Rahiki was born in Beirut, Lebanon, in 1985. According to his LinkedIn profile, he earned a B.Sc. in Computer Science from the American University of Beirut (AUB) in 2007 and later completed a Master’s in Electrical Engineering at Stanford University in 2010. After graduate school, he joined a multinational semiconductor firm before turning to entrepreneurship.
What is Marwan Rahiki’s educational background?
Which degrees did he obtain and when?
- 2007 – B.Sc. Computer Science, American University of Beirut
- 2010 – M.S. Electrical Engineering, Stanford University
During his time at Stanford, Rahiki published a conference paper on power‑efficient neural networks, which later became a citation baseline for edge‑AI research.
How did Marwan Rahiki start his career in technology?
From 2010 to 2013, Rahiki worked as a senior hardware design engineer at Qualcomm, focusing on digital signal processors for mobile devices. He contributed to the Snapdragon 800 series, a platform that powered over 150 million smartphones worldwide.
What prompted his shift to entrepreneurship?
In 2013, Rahiki identified a market gap: small‑to‑medium enterprises (SMEs) lacked affordable AI tools that could run on existing on‑premise hardware. He left Qualcomm to develop a prototype that performed real‑time object detection on a Raspberry Pi.
What is DataPulse and why is it significant?
DataPulse, co‑founded by Rahiki in 2014 with two former classmates, is an AI‑analytics platform that offers plug‑and‑play edge inference for manufacturing and logistics. The company’s key achievements include:
| Year | Milestone |
|---|---|
| 2014 | Company launch and first MVP demo at CES |
| 2015 | First enterprise contract with a Lebanese logistics firm |
| 2016 | Closed $5 million Series A round (Investors: MiddleEast VC Fund, TechBridge Angels) |
| 2018 | Reached $2 million ARR and expanded to three Gulf countries |
| 2020 | Published open‑source EdgeAI SDK, now on GitHub with 1.2k stars |
DataPulse’s technology reduces cloud‑dependency by up to 70 %, lowering operational costs for clients.
What are Marwan Rahiki’s notable technical contributions?
Beyond DataPulse, Rahiki has contributed to several open‑source projects:
- TensorFlow Lite Optimizer – contributed code for quantization aware training (2020).
- OpenCV Edge Module – added support for accelerated image pipelines on ARM CPUs (2019).
- IEEE Conference Papers – three papers between 2015‑2022, cited over 350 times combined.
His work is frequently referenced in tutorials on edge AI deployment, and he is a regular speaker at the ArabNet and AI Expo conferences.
How does Marwan Rahiki give back to the community?
Rahiki runs a mentorship program for aspiring tech founders in Lebanon, offering quarterly workshops on product‑market fit and fundraising. Since 2017, the program has supported 28 startups, with 9 securing seed funding.
Does he participate in any nonprofit initiatives?
He volunteers with Tech4Good, a nonprofit that provides low‑cost AI solutions to NGOs focusing on disaster response. In 2021, Rahiki helped develop a rapid‑deployment model that identified flood‑affected zones in real time, assisting humanitarian teams in Turkey and Syria.
What is Marwan Rahiki’s current role?
As of 2024, Rahiki serves as Chief Technology Officer (CTO) of DataPulse, overseeing product roadmap, research collaborations, and the company’s expansion into the African market. He also holds an adjunct professor position at the American University of Beirut, teaching a graduate course on Edge AI Systems.
Where can you find reliable information about Marwan Rahiki?
Verified sources include:
- LinkedIn profile (last updated March 2024)
- DataPulse press releases (company website, newsroom)
- IEEE Xplore author page (publications list)
- Conference speaker bios (ArabNet 2023, AI Expo 2022)
These sources provide the most up‑to‑date and fact‑checked details about his career and contributions.
Awards and recognitions
Marwan Rahiki’s contributions have earned him several regional and international honors. In 2017 he was named “Top 30 Under 35” by Forbes Middle East for his innovative work in edge‑AI. Two years later, the World Economic Forum invited him to join the Technology Pioneers cohort, where he presented DataPulse’s roadmap for sustainable AI in manufacturing. In 2021 he received the IEEE Distinguished Engineer Award for “exceptional technical leadership in low‑latency inference”. These accolades have helped raise the visibility of Lebanese tech talent on the global stage.
Key publications and citations
Beyond the three conference papers already mentioned, Rahiki has authored or co‑authored the following peer‑reviewed articles:
- “Quantized Neural Networks for Real‑Time Edge Inference”, IEEE Transactions on Computer‑Aided Design, 2018 – cited 112 times.
- “Energy‑Efficient Object Detection on ARM Cortex‑M Processors”, ACM Embedded Systems, 2019 – cited 78 times.
- “Adaptive Bandwidth Reduction in Distributed AI Pipelines”, Journal of Parallel and Distributed Computing, 2022 – cited 55 times.
All papers are openly accessible via his IEEE Xplore author page and are frequently referenced in university curricula for edge‑computing courses.
Future vision and upcoming projects
Looking ahead, Rahiki is steering DataPulse toward a “AI‑as‑a‑Service for Emerging Markets” model. The 2025 roadmap includes:
- Launching a low‑cost AI edge‑gateway tailored for agriculture, enabling real‑time pest detection on farms in Sub‑Saharan Africa.
- Partnering with the United Nations Development Programme (UNDP) to embed AI analytics in clean‑energy micro‑grid monitoring.
- Establishing an open‑research hub at AUB that will fund PhD scholarships focused on neuromorphic hardware.
These initiatives aim to democratize AI technology, reduce carbon footprints, and create high‑skill jobs across the Global South.
Personal life and interests
When he is not in the lab or boardroom, Rahiki enjoys hiking the Lebanese cedar forests and photographing historic souks. He is an avid supporter of Lebanese heritage music, often attending concerts that blend traditional instruments with electronic soundscapes. His commitment to cultural preservation extends to sponsoring a youth orchestra program in his hometown of Baabda.
Media appearances and interviews
Rahiki’s insights have been featured in a growing list of reputable outlets, including:
- TechCrunch – “How Edge AI Is Redefining Manufacturing in the Middle East” (April 2023)
- BBC World Business – interview on scaling AI startups from emerging markets (July 2022)
- Al Jazeera Business – panel discussion on AI ethics and data sovereignty (December 2021)
These appearances help amplify his message about responsible AI deployment and the importance of local talent pipelines.
Frequently Asked Questions
When was Marwan Rahiki born?
Marwan Rahiki was born in 1985 in Beirut, Lebanon.
What is DataPulse’s primary product?
DataPulse provides an edge‑AI analytics platform that enables real‑time inference on on‑premise hardware, reducing cloud reliance by up to 70 %.
Which universities did Marwan Rahiki attend?
He 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.
How many startups has Rahiki’s mentorship program supported?
Since its launch in 2017, the program has supported 28 startups, with nine of them securing seed‑stage investment.
What open‑source AI projects has he contributed to?
Rahiki contributed to the TensorFlow Lite Optimizer (quantization aware training) and the OpenCV Edge Module, and he maintains an open‑source EdgeAI SDK on GitHub.