Hüseyin Pekkan
@hseyinpekkan
AI Engineer & Data Scientist specializing in ML, computer vision, NLP, and end-to-end deployment.
What I'm looking for
I am an AI engineer and data scientist with practical experience delivering machine learning, computer vision, and NLP solutions end-to-end, collaborating closely with stakeholders to translate requirements into production systems.
My work spans research and applied engineering: I have built UNet segmentation pipelines for Earth observation, developed DCGAN models for early HCC detection, and implemented LLM workflows that combine intent detection, tool routing, and structured responses via FastAPI and front-end UIs.
I have production experience integrating global Sentinel ingestion (Google Earth Engine), real-time scoring via REST APIs, and dashboarding with Tableau; I also contributed to publications and conference presentations (SPIE Future Sensing Technologies, GeoVISIONS).
I mentor and lead junior practitioners, standardize KPIs and reporting, and seek roles where I can apply healthcare AI, geospatial/EO, and urban analytics expertise while continuing research and full-stack ML deployment.
Experience
Work history, roles, and key accomplishments
Owns end-to-end ML and data pipelines, builds NLP and CV solutions, and delivered automated reporting that reduced manual effort by ~30% while collaborating with stakeholders on product and research initiatives.
GIS ML Developer & Full-Stack Developer
UDENE (Horizon Europe)
May 2024 - Present (1 year 5 months)
Developed UNet segmentation for EO/GIS tasks, implemented LLM workflows for intent detection and tool routing, and handled global Sentinel ingestion via Google Earth Engine.
Ambassador — Data Science & AI
Microsoft (IMAGINE Ambassador)
Nov 2022 - Jun 2023 (7 months)
Selected among 75 students for advanced Azure/AI training, mentored peers, and supported community AI learning activities.
Education
Degrees, certifications, and relevant coursework
TOBB University of Economics and Technology
Bachelor of Science, Artificial Intelligence Engineering
2020 -
Grade: 3.17/4.00
Activities and societies: Scholarship (50%); projects including Titanic AI Web App, steganography with SIFT, DCGAN early HCC detection, and research/publications.
Bachelor of Science in Artificial Intelligence Engineering with a 3.17/4.00 GPA; scholarship recipient and instruction in English.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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