Software Engineer @ Horse Technologies, Renault | ex. EVA
+90-534970-58-04 | sudenurmeydan01@gmail.com
Hi! I’m Sudenur, a software developer passionate about crafting innovative solutions through technology. Currently, I’m working at Horse Technologies | Renault. I focus on AI-driven tools, web development, and automating business processes. I’ve had the opportunity to work on projects like developing AI-powered onboarding systems, building secure payment gateways, and optimizing data workflows. My tech stack includes Python, FastAPI, Django, React, Node.js, PostgreSQL, and Redis, to name a few. I’m always eager to learn new things, take on challenges, and push the limits of what tech can do. Feel free to connect if you want to chat about AI, software development, or anything tech-related!
April 2025 - Now
Developed internal digital tools and automation pipelines, enhancing efficiency across R&D and supply chain processes. Implemented RAG systems with MCP and Gemini, enabling semantic search and AI-powered assistance. Deployed and maintained scalable applications with Docker, Ansible, Jenkins CI/CD, and cloud services.
July 2024 - April 2025
Developed and deployed onboarding and reporting applications using AppSheet and Google Apps Script, streamlining data collection and form management. Automated CRM data processing, converting it into time series format for weekly, monthly, and yearly reports, and implemented risk analysis based on these insights.
Aug 2023 - July 2024
Designed and implemented a payment gateway, integrating with Paytr, Sipay, QNB, and Asseco using FastAPI. This development played a crucial role in streamlining the payment process, ensuring secure and efficient transactions for users.
Sep 2022 - Aug 2023
Developed an ERP system with a team using ASP.NET Core, HTML, CSS, and JavaScript, significantly contributing to improving user experience and digitizing business processes.
July 2024 - Aug 2024
Developed and implemented a PPE (Personal Protective Equipment) detection system using YOLO for real-time image processing. Created a website dedicated to PPE detection, integrating the YOLO model to analyze and display results.
June 2024 - July 2024
Wrote complex SQL queries to support data analysis and reporting needs. Gained proficiency in Power BI for data visualization and Oracle Data Integrator (ODI) for data integration processes.
Nov 2023 - Feb 2024
Computer Vision and YOLOv7 Expertise: For an Occupational Health and Safety (OHS) project, I learned YOLOv7, created and labeled a dataset for human detection, focusing on identifying workers with vests and helmets.
Jul 2020 - Aug 2020
Developed an application using Python and PyQt for workers to monitor and control packaging machines. This innovation significantly improved operational efficiency and user interaction with the machinery.
Gebze Technical University (2020 - 2025)
Focused on software development, data structures, and algorithms.
Marmara University (2020 - 2022)
Studied electrical circuits, systems, and automation technologies.
Ongoing
Engaged in intensive training on data science, machine learning, and AI.