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Senior AI Engineer | LLMs, Fine-Tuning & Evaluation | Agents | Scalable AI Systems
Senior AI Engineer bridging experimental AI and production reality. I specialize in productionizing Large Language Models (LLMs) and agent-based systems, turning early-stage ideas into reliable, production-grade services ready for integration, monitoring, and scaling. I build fine-tuning and evaluation workflows that shorten feedback loops and enable faster iteration without compromising stability. I'm particularly invested in the "last mile" of applied AI: improving reliability, ensuring consistent model behavior, and making quality measurable through automated evaluation pipelines and well-defined benchmarks. I care about systems where progress is traceable, regressions are caught early, and teams can iterate confidently with strong CI/CD practices for both deployment and code quality. I work end-to-end across the ML lifecycle using PyTorch, PydanticAI, Qdrant, and Kubernetes to build AI systems robust enough for real-world use.
University of Tartu
Master's degree, Computer Science
September 1, 2019 – June 1, 2021
University of Rochester
Computer Engineering
January 1, 2014 – Present
The American University in Cairo
Bachelor of Science (BS), Computer Engineering
January 1, 2011 – January 1, 2016
SumUp
Senior Machine Learning Engineer
May 1, 2026 – Present
Berlin, Germany
Aleph Alpha
Senior AI Engineer
December 1, 2024 – April 1, 2026
Berlin, Germany
Aleph Alpha
Machine Learning Engineer
May 1, 2024 – December 1, 2024
Berlin, Germany
Lengoo
Machine Learning Engineer
March 1, 2023 – May 1, 2024
Berlin, Germany
Oxolo
Machine Learning Engineer NLP
January 1, 2022 – January 1, 2023
Brainbase
Machine Learning Engineer
January 1, 2021 – January 1, 2022
Tallinn, Harjumaa, Estonia
University of Tartu
Research Assistant
September 1, 2019 – February 1, 2021
Estonia
Self Employed
NLP Engineer - Freelancer
January 1, 2019 – August 1, 2019
Smartly.AI
Machine Learning Engineer
December 1, 2017 – December 1, 2018
Paris, Île-de-France, France · Remote
Hyphen (Skylar Labs)
Machine Learning Engineer (NLP)
August 1, 2016 – October 1, 2017
Remote
American University in Cairo
Teaching Assistant
February 1, 2013 – December 1, 2014
Cairo
BibRank: Automatic Keyphrase Extraction Platform Using Metadata
February 1, 2021 – June 1, 2021
The project introduces BibRank, a new semi-supervised automatic keyphrase extraction method that exploits an information-rich dataset collected by parsing bibliographic data in BibTeX format. BibRank combines a novel weighting technique of the bibliographic data with positional, statistical, and word co-occurrence information. The work benchmarked BibRank and state-of-the-art techniques against the dataset. The evaluation indicates that BibRank is more stable and has a better performance than state-of-the-art methods.
Undergraduate Thesis Project
September 1, 2015 – May 1, 2016
Thesis Topic: “Arabic Sentiment Analysis.” Focusing on Twitter platform while providing sentiment analysis to Arabic tweets. Building a classifier based on the BMI algorithm and Bayesian probability, to classify tweets into positive or negative. Modifying and improving supervised classifiers such as, SVM, ANNs (Perceptron), and KNN to classify tweets. Developing Python scripts and classes for the project. Designing and implementing wide range of experiments using several data sets to choose the best classifier. Communicating with the team to build the full web application.
Machine Learning Engineering for Production (MLOps) Specialization
Coursera
June 24, 2026 – Present
Deploying Machine Learning Models in Production
Coursera
June 24, 2026 – Present
Machine Learning Modeling Pipelines in Production
Coursera
June 24, 2026 – Present
Machine Learning Data Lifecycle in Production
Coursera
June 24, 2026 – Present
Introduction to Machine Learning in Production
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, working in various companies from startups (Oxolo, Brainbase, Smartly.AI) to more established AI firms (Aleph Alpha, SumUp), and also includes academic research and freelance work. This breadth of experience suggests adaptability and a willingness to engage in different work environments. The focus on cutting-edge ML/NLP technologies and continuous learning (certifications) indicates a proactive and growth-oriented mindset, which generally aligns well with innovative tech cultures.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in projects, collaboration with teams (e.g., 'Communicating with the team', 'Led a team of 4'), and a focus on improving efficiency and quality metrics, suggesting strong operational fit and soft skills relevant for a senior role. The MLOps certifications further indicate a commitment to production best practices.