I’ve spent nearly 4 years building computer vision systems that run in production — real-time object detection, tracking, OCR, and anomaly detection — taking projects from dataset design all the way through edge deployment on Jetson with TensorRT and ONNX, and integrating with industrial cameras and PLCs. I write clean, maintainable Python (OOP, SOLID) and care about getting the architecture and data pipeline right before touching the model. I’ve delivered a commercially licensed product and led a project that’s been running in production for over a year without retraining. I also mentor junior engineers and interns. I’ve now moved to the LLM team, where I bring the same production mindset to large language models, RAG pipelines and agentic systems.
Eliminated missed-cell errors in cell counting and improved small-object detection with SAHI. Delivered as a subscription-based, server-licensed commercial product.
A standalone desktop platform covering the full object detection lifecycle — camera capture, annotation, training and real-time GPU-accelerated inference — in a single application.
An end-to-end cobot application that turns photos or line art into physical pen drawings with a Lexium cobot, with a safety-interlocked desktop HMI for industrial demos.
An audio-to-summary tool comparing frontier and open-source models, and a price-prediction model fine-tuned with LoRA/QLoRA.
Transformers · PEFT · LoRA/QLoRA
Work Experience
Ithinka Information Technologies
Jul 2022 – Present · 3 roles
Oct 2023 – Present
Computer Vision & AI Engineer (Mid-level)
Own end-to-end delivery of computer vision projects: dataset design, model training and optimization, edge deployment and production monitoring. Work directly with clients from requirements through go-live, including on-site installation and end-user training. Mentor junior engineers and interns, and produce technical documentation for every delivered project.
Oct 2022 – Sep 2023
Data Scientist → Computer Vision & AI Engineer (Junior)
Started on the data team, building an anomaly detection system for abnormal network traffic on monitored servers — including balancing a highly imbalanced dataset — and presenting weekly progress reports to stakeholders. Then moved into computer vision, delivering dataset and model-training work on industrial quality-control projects such as End-of-Line Inspection and Spring Sorting.
Jul 2022 – Sep 2022
Data Science Trainee
Mezopotamya Living Lab · program delivered by Ithinka
Completed a 3-month data science training program covering data analysis and machine learning workflows, and was hired by Ithinka at the end of the program.
Education
Erciyes University
2015 – 2018
B.Sc. Geomatics Engineering
Certifications
LLM Engineering: Master AI, Large Language Models & Agents
Udemy · Aug 2025
Image Processing with Deep Learning: Python, OpenCV, Keras
Udemy
Python A-Z™: Data Science and Machine Learning
Udemy
M
Data Science Training
Mezopotamya Living Lab · delivered by Ithinka
Python and TensorFlow for Data Science
BTK Akademi
Contact
Have an LLM, RAG or computer vision project in mind — or something that needs to go from prototype to production? I’d be glad to hear about it. I work remotely.