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Omer Sukru Varol

@omersukruvarol

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R&D engineer blending Industrial AI, Computer Vision, and embedded systems.

Turkey

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What I'm looking for

I’m looking to build production-ready Industrial AI and edge vision systems with clear latency/accuracy targets. I want end-to-end ownership across sensors → ML → deployment, collaborating with cloud and embedded teams to ship reliable products.

I’m an R&D Engineer specializing in Industrial AI, computer vision, and embedded systems. I focus on deploying production-ready ML solutions with measurable performance—sub-150ms latency and 95%+ accuracy—while keeping architectures cloud-native and maintainable.

At FarmaKod, I architected acoustic resonance NDT production-line systems using pneumatic excitation and IEPE sensors. I built a real-time FFT/STFT signal processing pipeline and developed a PyTorch defect detection model, delivering <150ms source-to-decision latency with 95%+ accuracy on 10k+ test samples.

I also deliver edge AI solutions by deploying YOLO-based object detection/tracking on Jetson Nano and Raspberry Pi. My work includes managing a dataset pipeline for 20k+ annotated images to achieve ~40 FPS on embedded hardware, as well as sensor-fusion localization using GPS/IMU with ±2cm positioning accuracy.

Beyond core ML and sensing, I’ve led cloud modernization by migrating a PHP platform to GCP using Cloud Run and Cloud SQL, improving uptime to 99.9% and reducing infrastructure costs by 35%. I’m energized by end-to-end ownership—from C# .NET/MSSQL backend development and RESTful APIs to building a solo-developed iOS language learning app with Claude API, Firebase, and RevenueCat.

Experience

Work history, roles, and key accomplishments

Current

R&D Engineer, Industrial AI

Current

FarmaKod

Jan 2023 - Present (3 years 5 months)

Architected an NDT production-line system using pneumatic excitation and IEPE sensors, delivering real-time FFT/STFT defect detection with <150ms latency and 95%+ accuracy on 10k+ samples. Led GCP migration of a PHP social platform using Cloud Run/Cloud SQL, improving uptime to 99.9% and reducing infrastructure costs by 35%.

PyTorch YOLO Edge AI (Jetson RPi)Docker

Current

R&D Engineer - AI Systems

Current

FarmaKod

Jan 2023 - Present (3 years 5 months)

Architected a real-time acoustic resonance QC system with an FFT/STFT signal pipeline and a PyTorch CNN defect classifier, achieving <150ms end-to-end latency, 95%+ accuracy on 10,000+ samples, and 1,000+ units/day throughput. Deployed YOLO-based edge AI on NVIDIA Jetson Nano and Raspberry Pi and designed LangGraph multi-agent orchestration with an MCP integration layer and contract-first OpenAPI/

PyTorch YOLO OpenCV FFT Computer Vision Edge AI (Jetson Raspberry Pi)LangGraph Model Context Protocol (MCP)AsyncAPI

Backend Developer Intern

Turali Group

Developed enterprise backend systems using C# .NET and MSSQL, improving average response time by 30% through database query optimization. Implemented MVC patterns to support scalable web applications.

C# .NET MSSQL MVC CRUD Database Optimization RESTful APIs Backend Development CI CD Git

Full Stack Developer Intern

SFS Software & ICT Consultancy

Built responsive web applications with HTML/CSS/JavaScript frontend and C# .NET backend, implementing relational database schemas and CRUD operations. Worked with MVC architecture and developed RESTful APIs for end-to-end functionality.

HTML CSS JavaScript C# .NET MVC RESTful APIs Relational Databases CRUD Operations Responsive Web Applications

Education

Degrees, certifications, and relevant coursework

Istanbul Bilgi University

Bachelor of Science, Mechatronics Engineering

2018 - 2023

BSc in Mechatronics Engineering with a 100% English curriculum, including coursework in control systems, robotics, cloud computing, and algorithms/data structures. Completed a senior project on low-cost absolute localization using GPS/IMU sensor fusion.

Istanbul Bilgi University

Bachelor of Science (B.Sc.), Mechatronics Engineering

2018 - 2023

Activities and societies: Faculty of Engineering and Natural Sciences (100% English instruction). Relevant coursework: Control Systems Design, Cloud Computing, OOP (C++), Mathematical Modeling, Algorithms & Data Structures, Robotic Systems.

Earned a B.Sc. in Mechatronics Engineering with 100% English instruction. Coursework included control systems, object-oriented programming, mathematical modeling, algorithms and data structures, and robotic systems.