👋 Hello!
I'm Temirlan, an AI Engineer based in Amsterdam, Netherlands. I specialize in Artificial Intelligence, with a strong focus on Computer Vision, Machine Learning, and Generative AI. I hold an MSc in AI for Business and Industry from KU Leuven and have a diverse background in engineering and data science.
On this site, you'll find my blog, projects, and more details about my professional journey.
🔍 Summary of My Background
- 3+ years of technical consulting, 1+ years of experience in AI & ML in production environments
- AI & Data Science solid theoretical fundamentals from KU Leuven, nFactorial and DPS
- Automated processes via AI leading to a 10x reduction in manual workload at NCOC
- Led ML engineering teams, delivering MVPs for companies like Geonaft and Gardena
- Authored and delivered commercial AI/ML, engineering and IT projects
🚀 Projects
- [Televic/KU Leuven] AI-based ownership and luggage abandonment detection system for Railways[Read More][Github]
- [NCOC] Automated warehouse ID identification with Azure Computer Vision [Read More]
- [KU Leuven] Lego marketplace with AI-recommendation system
- [DPS/Gardena] AI-recommendation system for optimal irrigation device selection
- [Geonaft] “Stress analysis” core module to “Geonaft” commercial software.
- [Geonaft] ML Real-time lithology detection project for Oilwell Drilling [Read More][Paper]
💼 Work Experience
Generative AI Engineer (AWS)
Nov 2024 – ongoingDesign, fine-tune, and deploy generative AI solutions, including LLM-based tools and agentic systems, to deliver innovative, data-driven applications for business efficiency
Application Developer
Dec 2021 – Oct 2024Initiated Computer Vision project on Azure, integrated GPT LLM, developed multiple automation processes, and improved data accuracy by 25%.
AI Engineer
Sep 2021 – Dec 2021Developed AI-recommendation system, created NLP models with GPT-J, and delivered MVP for Gardena company.
Data Analyst/Geoscientist
Jun 2018 – Aug 2021Led ML projects for lithology prediction, improved classification accuracy to 90%, and conducted stress analysis for oilfields.
🎓 Education
MSc in AI for Business and Industry
Sep 2023 – Sep 2024- Thesis: Developed AI-based ownership and luggage abandonment detection system using YOLO with OC-SORT, OSNet tracking
- Courses: ANN & DL, CV & NLP, ML and Inductive Inference, Fundamentals of AI, Applied AI, Business Analytics
- Honors: cum laude
MSc in Petroleum Engineering
Sep 2017 – Jun 2019BEng in Chemical Engineering
Sep 2013 – Jul 2017🛠️ Skills
Tools & Technologies
- Python, VBA, SQL, PowerShell, PowerBI, HPC clusters, API, Git, Jira, Azure, AWS
Machine Learning
- Object detection and tracking, Similarity detection, Supervised/Unsupervised Learning, Data Preprocessing, Data Mining
Python Libraries
- Numpy, Pandas, Matplotlib, SciKit-Learn, fastAPI, Streamlit, PyQt5, Selenium, Flask, Keras, Tensorflow, Pytorch, LangChain
Languages
- English (C1, IELTS: 8.0/9.0), Russian (C2), Kazakh (C2)
📚 Selected Publications
- Using machine learning algorithms for predicting lithology on bit from drilling data - Oct 2021
[Read More]
Published in OnePetro, conference paper for SPE RPTC, Moscow, Russia - Borehole Failures and Stress Regime Identification Challenges in Fractured Carbonates of Boca De Jaruco Field - Oct 2020
[Read More]
Published in ADIPEC, Abu-Dhabi, UAE; Published in OnePetro - Development and Application of Algorithm for Stress Inversion Based on Image Log Data - Oct 2019
[Read More]
Published in OnePetro, Presented at SPE RPTC, Moscow, Russia. DOI available
📬 Get in Touch
I'm currently open to opportunities in ML/AI positions, both full-time and contract. If you're interested in collaborating or hiring, feel free to connect with me on LinkedIn or send me an email at t.zhekenov@gmail.com.
I'm open for relocation for the right opportunity.