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Senior Manager - Applied Machine Learning at Arm
My career has been shaped by a continuous drive to learn, adapt, and expand my expertise in both AI and management, allowing me to steadily take on greater responsibilities and contribute at a strategic level. Currently, I am Senior Manager of Applied Machine Learning at Arm, where I focus on pathfinding and managing the lifecycle of ML projects across areas such as Computer Vision, Speech Recognition, NLP, and Generative AI. My role involves guiding the implementation, optimization, and deployment of AI use-cases on Arm IPs, helping to assess the effectiveness of existing solutions while also providing input that influences the direction of next-generation IP development. I also contribute to key features and bring ML expertise into customer and partner engagements, supporting Arm’s broader mission of enabling efficient AI across markets. Portfolios : https://github.com/kmonachopoulos https://gist.github.com/kmonachopoulos
University of Patras
Master’s Degree, Electronics and Information Processing, Division of Electronics and Computers, Department of Physics
January 1, 2014 – January 1, 2016
Technological Educational Institute of Athens
Bachelor’s Degree, Electronic Engineer, School of Technological Applications, Department of Electronics
January 1, 2006 – January 1, 2013
Arm
Senior Manager - Applied Machine Learning
April 1, 2021 – Present
Arm
Manager - Applied Machine Learning
April 1, 2020 – March 1, 2021
Arm
Senior Software Engineer - Applied Machine Learning
April 1, 2019 – March 1, 2020
Arm
Software Engineer - Applied Machine Learning
June 1, 2017 – March 1, 2019
School of Research and Informatics
Software Engineer and IT Specialist
March 1, 2016 – December 1, 2016
Greece, Athens
Irida Labs
Software Engineer - Computer Vision
July 1, 2014 – January 1, 2015
Greece, Patra
EMTech (Excel Micro Technologies)
Software Engineer - Spacecraft Emulators
April 1, 2013 – October 1, 2013
Greece, Athens
Unistroke recognition using Time-Of-Flight camera.
June 1, 2018 – August 1, 2018
This is a personal project that uses Time of flight (TOF) Depth images to classify the gestures using $1 Unistroke Recognizer [http://depts.washington.edu/madlab/proj/dollar/] Given a sequence of depth images, recorded from a DepthSense camera, I created a C++ application computes the nearest object in-front of the camera (hand), and uses the sequence of positions to classify the stroke.
Deep dive into high dynamic range imaging (a Matlab tutorial)
March 1, 2018 – May 1, 2018
High dynamic range imaging (HDRI) is an emerging field that has the potential to cause a great scientific and technological impact. This field is large and complex, with non-trivial relations to many different areas, such as image synthesis, computer vision, video and image processing, digital photography, special effects among others. For the above reasons, HDRI has been extensively researched over the past years and, consequently, the related scientific literature is vast. As an indication that the field is reaching maturity, tutorials and books on HDRI appeared. Moreover, this new resource has already reached interested practitioners in various application areas. In this whitepaper, we do not aim at covering the whole field of high dynamic range imaging and its applications, instead, we aim to cover the basic principles behind HDRI using debevec HDR approach and focus on resolving the HDR problem arising, both theoretical and practical. That is, the reconstruction of high dynamic range images from regular low dynamic range images using Matlab.
Exemplary Services as a Software Engineer
School of Research and Informatics (Greek Army)
June 24, 2026 – Present
Introduction to Microcontroller Systems
Technological Educational Institute of Athens
June 24, 2026 – Present
Computer Networks
Technological Educational Institute of Athens
June 24, 2026 – Present
Basic System Programming Structures
Technological Educational Institute of Athens
June 24, 2026 – Present
Object Oriented Programming and Applications
Technological Educational Institute of Athens
June 24, 2026 – Present
ECDL Core Syllabus Version 4.0.
European Computer Driving Licence
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression at Arm, from Software Engineer to Senior Manager, demonstrates adaptability and growth within a large corporate environment. Their involvement in hackathons and workshops suggests a collaborative and knowledge-sharing mindset. However, the projects and experience are heavily skewed towards Machine Learning Engineering and Computer Vision, with less explicit mention of traditional data analysis, statistical modeling, or business intelligence tools typically associated with a 'Data Analyst' role. While the analytical skills are strong, the direct alignment with a pure Data Analyst role's typical responsibilities (e.g., dashboarding, A/B testing, SQL proficiency, specific BI tools) is not explicitly demonstrated, which might indicate a potential mismatch in expectations for a pure Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience at Arm as a Manager and Senior Manager in Applied Machine Learning indicates strong leadership, project management (OKRs, KPIs, Roadmap, Strategy, JIRA), and mentoring skills. Involvement in hiring processes suggests an understanding of team dynamics and talent assessment. These skills are highly transferable to operational roles requiring strategic planning and team coordination, even if the target role is Data Analyst.