Veysel S.
Machine Learning Engineer
Experience
Jan 2025 - Present
1 yearChicago, United States
Machine Learning Engineer
SmileShapeAI
- Built packages to preprocess/clean dental meshes (Open3D), normalize orientation, and render canonical 2D projections (PyVista/VTK off-screen) per jaw/view with deterministic camera bundles.
- Engineered a robust projection toolkit to map 2D annotations/detections back to mesh coordinates using camera intrinsics/extrinsics, enabling metric QA checks directly on 3D geometry.
- Designed a sequential, three-step YOLO decision pipeline (coarse→fine) where each stage gates the next, improving precision on difficult dental QC tasks while keeping throughput high.
- Curated training sets from rendered views, standardized COCO JSONs, and ran reproducible evaluations; integrated with Roboflow for dataset versioning and review.
- Prototyped a Supabase-backed API/storage layer to persist projections, predictions, and aggregated results; aligned with AWS EC2/S3 for headless rendering and batch jobs.
- Shipped Poetry-based Python packages, automated builds/tests via GitHub Actions, and documented APIs for team consumption.
Jan 2022 - Dec 2024
3 yearsİstanbul, Turkey
Biomformatics Scientist / Machine Learning Engineer
Centameta
- Conducted somatic variant analysis, single-cell RNA-seq (scRNA-seq), ATAC-seq, and bulk RNA-seq studies, applying machine learning for biological insights.
- Utilized classical machine learning (SVM, Random Forest, XGBoost) for genomic feature selection, variant classification, and predictive modeling in precision medicine.
- Managed the full pipeline for a custom GPT-2 model in TensorFlow, from TFRecord-based data preprocessing to deployment, improving text generation capabilities.
- Designed real-time face recognition and emotion detection applications using MTCNN, FaceNet, OpenCV, and CNN-based architectures (VGGNet, ResNet, MobileNet).
- Integrated YOLO for real-time tracking and developed a Deep Q-Network (DQN)-based Atari gaming AI with OpenAI Gym and PyTorch.
- Engineered deep learning pipelines for synthetic data generation and augmentation using VAE and GAN models, enhancing model robustness across domains.
Jan 2021 - Dec 2022
2 yearsİstanbul, Turkey
Bioinformatics Analyst / Research Associate
Istanbul University – Cerrahpasa Bap
- Investigated large-scale genetic datasets (>1,000 samples) for forensic and bioinformatics projects, leading to peer-reviewed publications (including Electrophoresis) and pioneering research insights.
- Leveraged Python and Pandas to develop interactive dashboards, transforming complex genetic data into actionable insights and improving decision-making efficiency in forensic investigations.
- Collaborated with forensic scientists, molecular biologists, and data analysts to enhance genetic identification technologies and streamline bioinformatics workflows.
Jan 2018 - Dec 2020
3 yearsİstanbul, Turkey
Bioinformatics Analyst and R&D Innovator
Bioeksen R&D Technologies
- Leveraged Mothur and QIIME2 for comprehensive bioinformatics analyses of diverse microbiome datasets, fueling breakthroughs in microbial ecology and population studies.
- Performed whole genome sequencing (WGS), SNP genotyping, phylogenetic analyses, and RNA-seq studies to uncover disease-related genetic patterns, driving five university-backed projects on MS markers, PCR kit innovation, gene expression profiling, and antibiotic resistance.
- Partnered with cross-functional teams to design robotics-optimized high-efficiency DNA extraction kits, overseeing product manufacturing and significantly improving lab throughput.
- Created over 20 rapid, high-sensitivity PCR detection kits for microbial identification, greatly enhancing diagnostic accuracy in clinical settings.
- Developed a responsive, user-friendly company website and SEO strategy, boosting traffic and retention by 20% through effective SEO and periodic updates.
- Employed Python and R to build data visualization dashboards, transforming complex data into actionable insights for R&D initiatives and strategic planning.
Jan 2017 - Dec 2018
2 yearsResearch Assistant
TÜBİTAK & German Collaborative Project
- Designed and maintained microcosm environments to study microbial degradation dynamics in petroleum-contaminated ecosystems and assess hydrocarbon depletion over time.
- Conducted NGS-based metagenomic sequencing (16S rRNA for bacterial diversity and ITS for fungal populations) to decipher microbial community shifts in hydrocarbon degradation.
- Designed and executed PCR reactions for microbial profiling, ensuring accurate representation of key hydrocarbon-degrading species.
- Coordinated research efforts between TÜBİTAK and German institutions, contributing to cross-border knowledge exchange in environmental biotechnology.
Jan 2016 - Dec 2017
2 yearsİstanbul, Turkey
Bioinformatics Intern
Bioeksen R&D Technologies
- Conducted PCR-based pathogen analyses and Sanger sequencing to identify microbial contaminants, ensuring precision in genetic profiling.
- Developed and implemented DNA extraction protocols tailored for complex pathogen samples, enhancing nucleic acid yield and purity for downstream applications.
- Managed and analyzed large-scale pathogen detection datasets, refining diagnostic methodologies for clinical and environmental surveillance.
Summary
Leverage 7.5+ years of experience in bioinformatics, molecular biology, and machine learning to drive innovation in genomic research and healthcare. Skilled in NGS data analysis, AI-driven insights, and diagnostic tool development, I aim to bridge the gap between biological data and impactful solutions within a forward-thinking organization.
Languages
Turkish
NativeEnglish
AdvancedEducation
Oct 2021 - Jun 2024
University of London
B.Sc. in Computer Science, Machine Learning & AI · Computer Science · London, United Kingdom
Oct 2017 - Jun 2020
Istanbul University – Cerrahpasa
M.Sc. in Bioinformatics · Bioinformatics · İstanbul, Turkey
Oct 2011 - Jun 2016
Istanbul Technical University
B.Sc. in Molecular Biology & Genetics · Molecular Biology & Genetics · İstanbul, Turkey
Certifications & licenses
Deep Learning & Machine Learning Specialization
Coursera
Specialized Topics In AI & Data Science
Coursera & Edx
Specialized Topics In Bioinformatics
Udemy
TensorFlow Specialization & AWS Cloud Technologies
Coursera
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