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Founder & CTO @ Pruna AI
As the Co-Founder and CTO of Pruna AI, I am leading the development of a cutting-edge optimization platform that reduces AI costs, times, memory, and carbon emissions by 2-to-10x. Pruna AI was funded by the Exist Government Program and won the AI+Munich Startup Competition, demonstrating our innovative and impactful vision. I have a strong background in computer science and machine learning, with a Master of Science degree in Data Engineering and Analytics from the Technical University of Munich (High Distinction) and a Bachelor of Engineering in Computer Engineering from USEK (Distinction). I have contributed to state-of-the-art research in academia and industry, such as the full reimplementation of DeepMind's AlphaStar, the development of a novel model compression algorithm, and the application of AI to defense and planning. I am proficient in Python programming and machine learning frameworks, and have led and collaborated with diverse and talented teams. I am passionate about making AI more efficient, accessible, and environmentally sustainable, and I am always seeking out new challenges and opportunities to innovate.
Technical University of Munich
Master of Science - MS, Data Engineering and Analytics
October 1, 2019 – August 1, 2022
Holy Spirit University of Kaslik - USEK
Bachelor of Engineering (BE), Computer Engineering (Distinction)
September 1, 2014 – June 1, 2019
Collège Mariste Champville
Lebanese Baccalaureate, General Sciences
January 1, 1999 – January 1, 2014
Technical University of Munich
Machine Learning Engineer
September 1, 2022 – August 1, 2023
Munich, Bavaria, Germany
Pruna AI
Co-Founder & CTO
August 1, 2022 – Present
Munich, Bavaria, Germany · On-site
Design AI
AI Team Lead
November 1, 2020 – May 1, 2022
Technical University of Munich
Teaching Assistant
November 1, 2020 – April 1, 2021
Munich, Bavaria, Germany
Technical University of Munich
Data Scientist @ TUM Data Innovation Lab
November 1, 2020 – February 1, 2021
Munich, Bavaria, Germany
Design AI
Artificial Intelligence Engineer
September 1, 2020 – November 1, 2020
BMW Group
R&D, Computer Vision
February 1, 2019 – July 1, 2019
Munich, Bavaria, Germany
Apgar Consulting
Data Consultant
September 1, 2018 – January 1, 2019
Jbeil
Apgar Consulting
Data Consultant (Intern)
July 1, 2018 – August 1, 2018
Jbeil
Dar
Data Engineer
June 1, 2017 – August 1, 2017
Verdun
Finance 4.0
April 1, 2020 – August 1, 2020
The Finance4.0 platform aspires to be a socio-technical artifact spanning a design space for a socio-ecological financial system and for post-monetary concepts and experiments. The platform’s generative design allows to explore the new and broad spectrum of post-monetary ideas and approaches. They range from traditional money designs to entirely novel (re-)conceptions of value representation. Finance 4.0 enables the emergence of self-organizing, multi-dimensional, community-driven and token-based incentive systems for any positive sustainable action a community wants to promote – in a democratic way. FIN4Xplorer is our tool to explore the post-monetary design space.
3D Labeling Tool
February 1, 2019 – July 1, 2019
- Implemented nonrigd registration algorithm Thin Plate Spline Robust Point Matching (TPS-RPM) in Python and optimized it for parallel computation - Smart minimum bounding rectangle calculation - Implemented the unsupervised outlier detection algorithm rPCA to avoid 3D to 2D projection mishaps - Developed an alternate way of labeling in the rare cases where the mesh does not exist by rendering the problem into a non-linear optimization problem and solving using dogbox and Newton-Raphson methods - Implemented snapping feature where the labeling object will be snapped into its correct position without any user intervention (zculling + Support Vector Registration)
Flappy Bird Clone
September 1, 2017 – December 1, 2017
Recreated the famous mobile video game Flappy Bird using Android Studio and libGDX
Exam Scheduling System
September 1, 2016 – December 1, 2016
Exam Scheduling System project for the Advanced Algorithms Course
Elevator Simulator Design
April 1, 2016 – May 1, 2016
Elevator simulator Design: - Requirements - Use case - Class Diagram - Activity Diagram - Sequence Diagram
30 Under 30
Forbes
June 23, 2026 – Present
B1 German
Technical University of Munich
June 23, 2026 – Present
A2 German
Technical University of Munich
June 23, 2026 – Present
A1 German
Technical University of Munich
June 23, 2026 – Present
Data Science Specialization
The Johns Hopkins University
June 23, 2026 – Present
Computer Engineer
ABET
June 23, 2026 – Present
IEEE XTREAM 12 Certificate of Participation
IEEE
June 23, 2026 – Present
IEEE XTREAM 10 Certificate of Participation
IEEE
June 23, 2026 – Present
BMW/Splunk Hackathon - Certificate of Participation
BMW Group
June 23, 2026 – Present
VEX Robotics Competition - Certificate of Participation
VEX Robotics
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, startups (Co-Founder & CTO), and corporate R&D (BMW Group, Apgar Consulting). This breadth of experience suggests adaptability and a willingness to engage in various work environments. The involvement in innovative projects like Finance 4.0 and winning the EDA prize indicates an innovative mindset. However, the target role is 'Data Analyst', while much of the experience leans towards 'Machine Learning Engineer' and 'AI Team Lead'. While there's overlap, the focus on advanced ML/AI might indicate a different career trajectory than a pure Data Analyst role, potentially impacting cultural fit if the role is strictly analytical and less research/model-building oriented.
Soft Skills & Operational Fit
The candidate's experience as a Team Lead and Teaching Assistant suggests strong leadership and communication skills. Project descriptions indicate problem-solving abilities and a proactive approach to complex technical challenges. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.