Hire the Best Genetic Algorithms Specialists
in Turkey

As a highly skilled and experienced Python and R developer, bioinformatician, and data scientist, I am passionate about using technology to solve complex problems and uncover insights from large datasets. With a background in Bioengineering degree and data science projects, I have developed expertise in data analysis, visualization, and scripting with Python, R and Bash, and machine learning, including frameworks such as Keras, FastAI, Sklearn, Pytorch and AWS infrastructure. Whether you need help with python scripts, data analysis, bioinformatics, machine learning, or software development, I have the skills and experience to deliver high-quality work that meets your needs. I have a proven track record of delivering projects on time and within budget, and I am always looking for new challenges and opportunities to learn and grow. In addition to my technical skills, I am a clear and effective communicator who is committed to understanding your needs and delivering results that exceed your expectations. I am confident that I can help you achieve your goals and look forward to working with you on your next project.

I bring effective solutions to your problems via Data Science, Simulation Modeling, and Optimization. I analyze your problem, identify best tools/methods for your case, and develop a software solution with a lean and clean design. All steps will be fully transparent to you. My long work history is full of successful software tool development projects in various industries. (Some examples are in my portfolio) I hold an M.Sc. degree in Industrial Engineering from a top university in Istanbul, with a specialization in system simulation. 𝗠𝘆 𝘁𝗼𝗼𝗹𝗯𝗼𝘅 : ● Python-based: ◦ SimPy (Simulation) ◦ Numpy, Pandas, SciPy, OpenCV, Statsmodels (Numerical Methods) ◦ pm4py (Process Mining), ◦ Scikit-Learn, XGBoost, PyTorch (Machine Learning), ◦ PyQt6, PySide, Streamlit, Tkinter (GUI Development), ◦ Google OR-Tools, PuLP (Operations Research, LP, MILP), DEAP (Genetic Algorithms) ● System Dynamics, Monte Carlo, Agent-Based, and Discrete-Event Simulation ● Vensim, PySD, Jaamsim (open source alternative to Simio, FlexSim, Anylogic) ● C#, Java, Matlab, GNU Octave programming ● Design of Experiments, Six Sigma, Minitab, ANOVA, A/B Tests ● SQL, PostgreSQL, MongoDB, SQLAlchemy, Flask, FastAPI, Docker ● MS Project, Google Sheets, ClickUp (Project Scheduling) 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗼𝗺𝗮𝗶𝗻𝘀 (with work experience) : Business Simulation, Product & Production Data Analytics, Scheduling, Predictive Maintenance, Energy Systems Modeling, Engine and Vehicle Data Analysis, Diagnostics As a professional freelancer, I handle client work with clear communication, attention to detail, and highest level of confidentiality. ⚡ Available Now⚡ My proposed rate will depend on the duration and the scope of the project.

Have been working with PyTorch, TensorFlow, Scikit-learn for inference optimization using OpenVINO, TensorRT, ONNX Runtime, TensorFlow Lite, deployment through AWS, Docker, Django, Flask. I have some experience in building desktop, web, and mobile apps as well. The languages I know well are Python, C/C++, C#, Java, and SQL. In addition, I can do parallel computing and optimization using CUDA, Nvidia OptiX, OpenMP, OpenCL, Numba, and Cython. BONUS—as a competitive programmer—deeply involved with algorithm development, code optimization, and sophisticated data structures. Turkish National University Entrance Exam Rank: 3,588/2M+ (top ~0.1%)

I'm very experienced in operations research, mathematical optimization, creating mathematical models, developing algorithms and applying them using commercial optimization software (Cplex, Gurobi, Excel Solver, Google OR Tools, Localsolver).

Bioengineer & Computational Biologist | MSc Biotechnology I build computational solutions for drug discovery and molecular diagnostics — from protein modeling and virtual screening to production-grade scientific software. ▸ FEATURED PROJECT: PharmaLyser SMA I designed and developed PharmaLyser, a desktop application for real-time PCR analysis used in SMA carrier screening. Built with Python/PyQt5, it features automated 96-well plate processing, statistical classification (KMeans + L-BFGS-B optimization), regression-based QC, and interactive data visualization. This project demonstrates my ability to take complex scientific problems from concept to a polished, deployable product. ▸ Computational Chemistry & Drug Discovery (MSc) • Molecular docking & virtual screening: Schrödinger Maestro (Glide, IFD), AutoDock Vina • Protein structure prediction & refinement: AlphaFold, SALILAB MODELLER, SWISS-MODEL • Molecular dynamics simulations: GROMACS, Desmond (Schrödinger) • Binding free energy calculations: MM-PBSA/MM-GBSA • 3D visualization & publication renders: PyMOL, ChimeraX • Compound library building, SMILES manipulation, database mining (PDB, UniProt, PubChem, ZINC) ▸ Software Development & Data Science • Python: NumPy, SciPy, scikit-learn, pandas, Biopython • Desktop applications: PyQt5, PyQtGraph, Qt Designer • Data visualization: Matplotlib, interactive plotting • Cross-platform mobile: Flutter/Dart ▸ Wet-Lab & Diagnostics • qPCR/ELISA kit design, validation, and optimization • IVDR & ISO13485-compliant technical documentation • Nucleic acid extraction, buffer formulation, stability testing ▸ Additional Skills • Scientific illustration: Inkscape, Krita (publication-ready figures) • Technical translation: Turkish ↔ English I combine deep scientific knowledge with strong engineering skills. Whether you need a molecular docking study, an MD simulation pipeline, a bioinformatics tool, or investor-ready 3D protein renders — I deliver rigorous, production-quality results. Happy to share my thesis work, docking results, or a PharmaLyser demo. Let's discuss your project.

Hello, I'm Alptekin. I recently graduated with a Bachelor's degree in Mathematics, ranking 3rd in my class. Additionally, I completed two minor programs in Computer Engineering and Artificial Intelligence. My passion lies in developing intricate and efficient software, particularly using C++, which has also led me to become proficient in Linux. During my studies in Computer Engineering, I learned a variety of programming languages, including C/C++, Java, Python, CUDA, Lua, R, and MATLAB. I also gained experience in creating AI models using PyTorch, among other skills. Moreover, I have received hands-on education from Google Cloud Skill Boost in Docker and Kubernetes. I have experience in developing multi-stage Docker images and deploying them in a pipeline, enhancing my ability to create and manage scalable, containerized applications.