Summary
Erdal Genc is a Senior Data Engineer based in London with six years of hands-on experience building data and ML solutions across healthcare, biotech, and energy sectors. He progressed from academic image-processing research through applied data science roles to senior engineering at Equinor, combining domain knowledge in biomedical imaging with production-grade data pipelines. Comfortable both as a data scientist and engineer, he has delivered ML-driven projects at startups and research institutes, and freelanced to bridge research and product needs. His background includes a master’s in image processing and work at organizations like John Snow Labs and Lifebit, reflecting strong experience in bioinformatics and regulated-data contexts. Colleagues describe him as a pragmatic problem solver who translates complex models into reliable, scalable pipelines. He often brings an experimental researcher’s curiosity to production engineering, spotting opportunities to improve model observability and data quality that others might miss.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Biomedical Engineering, Bachelor of Applied Science (B.A.Sc.) Biomedical Engineering at University of Ljubljana, Faculty of Electrical Engineering
Master's degree Image Processing, Master's degree Image Processing at Kyungsung University
Bachelor of Engineering (B.Eng.) Biomedical/Medical Engineering, Bachelor of Engineering (B.Eng.) Biomedical/Medical Engineering at Bahcesehir University
Turkish, English, German, Korean