Hire the Best Genetic Algorithms Specialists
in Turkey

As a Genetics and Bioengineering graduate and Bioinformatics Developer, I bridge the gap between wet-lab bioprocesses and dry-lab computational pipelines. I build production-grade, modular Python workflows engineered to clean, analyze, and interpret complex genomic data for biotechnology startups and clinical research laboratories. My engineering approach combines automated bio-pipelines with biostatistical modeling to extract actionable patterns from high-dimensional biological datasets, delivering structured, publication-quality reports without command-line complexities. Core Expertise: Next-Generation Sequencing (NGS) & RNA-Seq: Short- and long-read data processing (FASTQ/FASTA/SAM/BAM), automated quality control (QC), and Differential Gene Expression (DGE) workflows. pip NCBI BLAST & Primer Design: Custom pipeline integration with NCBI BLAST APIs, automated primer/probe design validation, and database curation. Clinical Genomics: High-priority variant analysis (VCF parsing), mutation interpretation, and pathogenic SNP isolation. Machine Learning & Biostatistics: Implementing predictive statistical models (stochastic modeling) and machine learning-driven analysis using the Python scientific stack. Bio-Visualization: Transforming raw data frames into publication-quality (Nature standard) figures (Volcano plots, Heatmaps, PCA) and interactive HTML dashboards. Tools & Technologies: • Languages & Environments: Python (NumPy, SciPy, Pandas, scikit-learn), PyCharm IDE, cross-platform workflow integration. • Bioinformatics Tools: Biopython, NCBI E-utilities, custom sequence-alignment parsers, genomic database APIs. What You Get: ✓ Reproducible, Turnkey Workflows: Clean, well-documented, and modular Python scripts designed to execute reliably with single-click parameters. ✓ End-to-End Systems Thinking: Complete technical alignment that respects both your wet-lab experimental constraints and your downstream digital outputs. ✓ Data Integrity First: High-performance automation engineered with strict memory-isolation protocols to prevent primary database contamination. If you are working on NGS pipelines, RNA-Seq analysis, automated primer design, or require robust bio-computational automation to power your research platform, let’s connect via Upwork messages.

I bring creative solutions to your problems via Data Science, Simulation Modeling, and Optimization with my proven approach. I analyze your problem, identify the best tools for your case, and develop a software solution with a lean and clean design, all steps being fully transparent to you. My work experience includes years of software tool development for engineering in product development and R&D. I hold an M.Sc. degree in Industrial Engineering from a top university in Istanbul. 𝗠𝘆 𝘁𝗼𝗼𝗹𝗯𝗼𝘅 : ● Python packages: ◦ SimPy (Simulation) ◦ Google OR-Tools, PuLP (Operations Research, LP, MILP), DEAP (Genetic Algorithms) ◦ Numpy, Pandas, SciPy, OpenCV, Statsmodels (Numerical Methods) ◦ pm4py (Process Mining), ◦ Scikit-Learn, XGBoost, PyTorch (Machine Learning) ◦ PyQt6, PySide, Streamlit, Tkinter (GUI Development) ● Discrete-Event, Monte Carlo, Agent-Based, and System Dynamics 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* Engineering SW Tool Development* Product & Production Data Analytics Scheduling* Predictive Maintenance Energy Systems Modeling* Engine and Vehicle Data Analysis IoT, Telemetry, Telematics, and Diagnostics * See my portfolio and Github for examples. If you are in search of a 𝗿𝗲𝗮𝗹 and experienced freelancer in these fields, you've already found! 🟢 Available Now The proposed rate will depend on the scope and duration of your project.

I have been teaching/tutoring math and doing related research for over 18 years now, I have taught at Northeastern University and Turkey. I have a PhD in Mathematics (an application of mathematical modelling in biology). I can help with mathematical research, especially computational/statistical research. My research required data analysis and modelling, which were conducted in Matlab and related tools (especially Simbiology). Being an active Project Euler contestant, I am extremely interested in designing and executing innovative algorithms for computational math questions (my preferred programming language is Java). Recently I was able to do some work related to Computational Geometry. I have created my own code in Java for this work. I am also experiencing with CGAL libraries. As someone teaching college level math for more than 15 years, I can provide online tutoring in almost any field of math and prepare math questions and/or detailed solutions for all levels: -All college level math/statistics -SAT, GRE, GMAT Quantitative Sections -Multiple Choice Math Questions -For various college level courses (Highly technical, purely algebraic or word problems) I have also done a lot of LaTex typing, for teaching and for my own research. I can type the whole document or help with editing. I have been doing freelance work in tutoring and translation for more than 14 years now. I have translated Jordan Ellenberg's "How Not To Be Wrong" into Turkish, which is in revision for publication.

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 engineer and optimize high-throughput computational pipelines for deep-tech and bioinformatics platforms. I specialize in reducing massive cloud compute costs and accelerating irregular memory workloads on heterogeneous hardware (CPU/GPU). - Infrastructure: Nextflow, Kubernetes, Slurm, and Docker containerization for production-grade pipelines. - Acceleration: CUDA, OpenMP, MPI, and custom memory-efficient vector databases. - Recent Work: Replaced an inefficient legacy GPU molecular search pipeline with a Rust-optimized architecture for a US drug-discovery startup, drastically reducing memory footprint and runtime.

Thanks to the diversity of the projects I have completed, I gained expertise in, - MATLAB and Python - Data science - Optimization - Web apps - Human-centred design - Finishing tasks on time - Quality and risk management - ISO 9000 series of standards - Technical writing - Efficient literature research