
Abdalkarim Mohtasib
Staff ML Researcher | LLMs | VLMs | RL | GNNs | Robotics
Updated 8 months ago
14+
Years Experience
8
Roles
32
Skills
3
Education
About
Currently, I am a Machine Learning Scientist at Zebra Technologies with a focus on developing and implementing Machine Learning and Reinforcement Learning models and algorithms to solve real world problems. I have an MSc degree in Computer Science with distinction from the University of Essex. Also, I am doing a PhD degree in Computer Science where I have developed and applied different machine learning, deep learning, and reinforcement learning algorithms with application to robotics. During my PhD, I have published two papers, I have one paper under review, and I have two more papers under development. In addition, I have finished writing the main parts of my PhD thesis and intend to submit it by January 2022. My interest in AI has started in 2014 when I had an AI module during my MSc degree at the University of Essex. In this module, we have learned about different AI-related topics. This has developed a passion for perusing PhD research in fields related to AI. So, I have started my PhD research by investigating different types of machine learning and deep learning algorithms and models with application to robotics. Then, I have focused my research on developing and implementing novel reinforcement learning algorithms. These experiences have increased my passion for data science, especially big data. So, I have started learning about data science and big data, and the tools needed to deal with it like (Apache Hadoop, Apache Spark, Apache Mahout, MapReduce, Hive, Yarn, SQL, NoSQL, …). I realized that I need to have experience in cloud computing to be able to deal with big data. So, I have learned and developed good experience in GCP, BigQuery, and QwikLab. These experiences in Data Science and Could Computing have led me to be an associate demonstrator for the Big Data Module in the School of Computer Science at the University of Lincoln. Also, in the associate demonstrator role in the School of Computer Science at the University of Lincoln, I am responsible for helping in delivering the lab sessions for the Artificial Intelligence, Machine Learning, and Advanced Machine Learning modules. All these experiences make me very confident about my depth knowledge in areas of AI, Data Science, and Cloud Computing. Feel free to contact me, I would be happy to share with you my work or anything else.
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Experience (8 roles)
Machine Learning Scientist, Advanced
CurrentZebra Technologies · Full-time
I work on developing LLMs for Zebra Android devices. I work on the whole LLM development pipeline starting from data preparation to LLM fine-tuning and LLM evaluation. Skills: Object-Oriented Programming (OOP) · Graphics Processing Unit · Communication · Fine Tuning · Generative Modeling · Deep Rein...
Embedded Deep Learning KTP Associate
University of Essex · Full-time
I worked with the University of Essex and RoboK on a project that aims to bring robust AI to the edge by optimising deep learning-based 3D perception models for a low-power computing platform. I developed software that can create 3D insights from multi-view RGB images. Skills: Object-Oriented Progra...
2 roles · Oct 2019 - Mar 2022
Associate Lecturer
* Responsible for delivering the lab sessions for the Introduction to Robotics and the Robotics and Automation modules. Topics covered: Robot types and applications, Robot sensors and actuators, Spatial Descriptions and Transformations, Mobile robot kinematics, Closed-loop PID control, Simulink logi...
Associate Demonstrator
* Helped in delivering the lab sessions for Artificial Intelligence. Topics covered: Logic Programming, Artificial Neural Network, Games AI & Search, Planning I, Probabilistic Representations, and Bayesian Reasoning. * Helped in delivering the lab sessions for Machine Learning. Topics covered: Revi...
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Education (3)
University of Lincoln
Oct 2018 - Jan 2022
Activities and societies: Lincoln Centre for Autonomous Systems (L-CAS) * Learning Robot Policies, Oct 2020 — Oct 2021 I have proposed a novel Reinforcement Learning algorithm to learn robot policies. - Proposed, developed, and implemented (PyTorch) the algorithm. - Wrote a paper with achieved SOTA results. * Learning Visual Rewards, Oct 2019 — Oct 2020 I have proposed novel reward learning models from visual observations. - Proposed, developed and impelemented (Tensorflow and PyTorch) the models. - Collected a dataset for training the proposed models. - Published two papers. * Tasks Learning Using Supervised Sequence Models, Apr 2019 — Oct 2019 I had to teach a robot some manipulation tasks using deep sequence-to-sequence models - Collected, cleaned, and annotated robotic manipulation dataset. - Built and trained seq2seq models using Keras and Tensorflow. * Dialog-based Robotic System for Manipulation Tasks, Oct 2018 — Mar 2019 This is a HRI project. The user asks the robot to perform some robotic tasks while the robot interacting with the user. Skills: Continuous Integration and Continuous Delivery (CI/CD) · Programming · Scientific Research · Information Technology · Object-Oriented Programming (OOP) · Computer Science · Fine Tuning · Deep Reinforcement Learning · Machine Learning Algorithms
University of Essex
Sep 2014 - Sep 2015
Grade: Distiction Skills: Continuous Integration and Continuous Delivery (CI/CD) · Programming · Information Technology · Object-Oriented Programming (OOP) · Computer Science
Palestine Polytechnic University
Sep 2007 - Jun 2012
Grade: 92.5% with 1st Honor Skills: Programming
Skills (32)
Certifications (5)▼
Trainer of Trainers (PLC Based Automation Systems)
Ministry of Labour, Ramallah, Palestine
Trainer of Trainers (Hydraulic Systems)
Ministry of Labour, Ramallah, Palestine
Advanced Reinforcement Learning
MIT Professional Education
Trainer of Trainers (Measurements and Systems)
Ministry of Labour, Ramallah, Palestine
Generative AI with Large Language Models
DeepLearning.AI
Publications (2)▼
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
2021 Towards Autonomous Robotic Systems Conference (TAROS) · Sep 8, 2021
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
2021 International Joint Conference on Neural Networks (IJCNN) · Jul 20, 2021
Languages (2)▼
Honors & Awards (3)▼
Zuhair Hijjawi Award
Issued by Arab American University, Jenin, Palestine · Jul 2012
Associated with Palestine Polytechnic University Zuhair Hijjawi Award for the best scientific research in the category of engineering at the level of the Palestinian universities.
Higher Education Scholarships for Palestinians (HESPAL)
Issued by British Council, Ramallah, Palestine · Aug 2018
Associated with University of Lincoln PhD Scholarship
Higher Education Scholarships for Palestinians (HESPAL)
Issued by British Council, Ramallah, Palestine · Aug 2014
Associated with University of Essex MSc Scholarship
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