Mouhammed Soliman

About Me

Welcome to my personal GitHub page! I am a Master’s student in Bioinformatics at Saarland University, passionate about AI, Machine Learning, and Software Development. I specialize in backend services, distributed systems, and bioinformatics applications. I am particularly interested in using Machine Learning and statistical methods in Bioinformatics and Medical Imaging to advance research and applications in these fields.

Contact Information

• Email: bmbmyasser@gmail.com
• LinkedIn: Mouhammed Soliman
• GitHub: MohammedYasserr

Education

Saarland University, Germany

Master’s Degree in Bioinformatics (2023 - Present)

Cairo University, Egypt

Bachelor of Biotechnology and Bioinformatics (2016 - 2022)

Skills

• Languages: Python, C++, TypeScript, SQL, Linux/Bash
• Frameworks: PyTorch, Numpy, OpenCV, Angular, Microservices, gRPC, Distributed Systems
• Tools: Kubernetes, Docker, GIT
• Platforms: AWS, GCP, Jira

Experience

ODION GmbH, Saarbrücken, Germany (July 2024 - Present) - Werkstudent Software Engineer

• ODION Mobile Platform: Maintaining ODION Mobile platform using Angular Ionic for different platforms such as iOS and Android.
• Feature Development: Managed to push tens of major customer features to production.
• Feature Testing: Tested and maintained already existing features using Angular Jasmine.

MONA AI GmbH (Nov 2023 - May 2023) - Software Engineer

• Developed AI-driven applications leveraging LangChain LLMs.
• Optimized AI pipelines using LangChain LCEL features.
• Performed data validation using Pydantic for API integrity.
• Enhanced CI/CD pipelines for reliability and resilience.

Flextock Onsite (July 2022 - September 2022) - Software Engineer Intern

• System Optimization: Improved the systems APIs’ latencies by caching responses for common requests, enabling the system to handle around 3000-4000 requests per day.
• Data Serialization: Serialized the data formats between the services by using API serialization frameworks like gRPC/Protobufs.
• Microservices Design: Contributed to the design and feature implementation of microservices relating to onboarding new merchants in Flextock’s merchant Profile Services.

AGERI Institute, Cairo University (Oct 2020 - Jun 2021) - Machine Learning Researcher

• Developed ML models (Regression & CNN) for biomedical AI-aided systems.
• Utilized Python, Keras, OpenCV, and Numpy for model development.
• Project Link: EC-PRED

NNTI - Project (Jan 2025 - Present) - Machine Learning Engineer

• Leveraged HuggingFace Pre-trained MoLFormer-XL-both-10pct for molecular property prediction.
• Applied Influence Function Optimization and LoRA to enhance model generalization.
• Project Link: NNTI

Projects

Prot-pred

ML model for 3D protein structure identification.
More info: Prot-pred Repository