I’m Cem Güleç, a full-stack software engineer with a strong focus on data-driven biology, machine learning, and scalable web applications. I enjoy building end-to-end solutions for research and industry, from data processing pipelines to interactive dashboards. My work blends software development with computational biology, enabling researchers to design better experiments and derive actionable insights from complex data. Throughout my studies and roles at Helmholtz Munich and Marmara University, I’ve collaborated across labs and disciplines, published work, and contributed to open science initiatives. I’m passionate about applying ML to bioinformatics, advancing explainable AI, and sharing practical tools with the community to accelerate scientific discovery.

Cem Güleç

I’m Cem Güleç, a full-stack software engineer with a strong focus on data-driven biology, machine learning, and scalable web applications. I enjoy building end-to-end solutions for research and industry, from data processing pipelines to interactive dashboards. My work blends software development with computational biology, enabling researchers to design better experiments and derive actionable insights from complex data. Throughout my studies and roles at Helmholtz Munich and Marmara University, I’ve collaborated across labs and disciplines, published work, and contributed to open science initiatives. I’m passionate about applying ML to bioinformatics, advancing explainable AI, and sharing practical tools with the community to accelerate scientific discovery.

Available to hire

I’m Cem Güleç, a full-stack software engineer with a strong focus on data-driven biology, machine learning, and scalable web applications. I enjoy building end-to-end solutions for research and industry, from data processing pipelines to interactive dashboards. My work blends software development with computational biology, enabling researchers to design better experiments and derive actionable insights from complex data.

Throughout my studies and roles at Helmholtz Munich and Marmara University, I’ve collaborated across labs and disciplines, published work, and contributed to open science initiatives. I’m passionate about applying ML to bioinformatics, advancing explainable AI, and sharing practical tools with the community to accelerate scientific discovery.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced
German
Beginner
Turkish
Fluent

Work Experience

Full Stack Software Developer at Helmholtz Munich, Institute of Computational Biology, Heinig Lab
October 1, 2024 - October 19, 2025
Contributed to the project Enabling Cell Atlas Guided Optimal Experimental Design by building a data processing pipeline and a dynamic web application for storing biological data/metadata, leveraging high-performance computing techniques. Maintained and enhanced features of the scPower library. Presented findings at RECOMB 2023 and prepared manuscript materials for Nucleic Acids Research; contributed as IT representative and helped develop Open Office Space regulation; collaborated on the Community: component-based differential cell communication analysis in large multi-sample scRNA-seq datasets.
Machine Learning Engineer at Aktif Bank
October 1, 2021 - October 19, 2025
Developed real-time dashboards using Elasticsearch, Kafka, Graylog, Django, Python, and TensorFlow to monitor system load and response times. Led weekly strategic meetings with executives to demonstrate AI-driven solutions and lay the groundwork for future technology investments.
Researcher at Marmara University
July 1, 2021 - October 19, 2025
Part of the Bachelor’s Thesis and ongoing voluntary work. Researched under Dr. Mehmet Kadir Baran, focusing on AlphaZero adaptation for Pawn Dama, and presented results to a scholarly audience. Developed cross-platform software to streamline Molecular Dynamics simulation analysis in bioinformatics, using Python, VMD, and R, consolidating long-term analyses into a single tool (Pro Dy) under the guidance of Prof. Dr. Pemra Özbek Sarıca.
Machine Learning Intern at Cloud4Feed
September 1, 2020 - October 19, 2025
Developed data labeling and topic modeling solutions using NLP techniques to support ML projects.
Software Development Intern at Yesil Science
October 1, 2019 - October 19, 2025
Assisted backend and AI teams on the FluAI mobile health project, providing AI-driven analyses for upper airway infections.

Education

Bachelor of Science, Computer Engineering at Marmara University
August 1, 2017 - August 1, 2021
Bachelor of Science, Computer Science and Informatics (Erasmus+ Exchange Program) at Budapest University of Technology and Economics
January 1, 2019 - June 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Life Sciences, Education, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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