Machine Learning Engineer | Computer Vision | AI Systems Development
AI-focused software engineer specializing in machine learning, computer vision, and data-driven automation. With 5+ years of software background and 2+ years of real-world ML experience, I develop end-to-end AI systems—from prototyping to deployment on cloud and edge environments.
📧 erengemici.bus@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/eren-gemici
🔗 GitHub: https://github.com/ethegem
🔗 Kaggle: https://www.kaggle.com/erengemc
- 2+ years of hands-on machine learning experience in real industrial and robotics settings
- Led embedded computer vision development for robotics and QA systems
- Built and deployed LLM-based applications
- Trained 200+ professionals in Python, ML, and Deep Learning
- Strong proficiency in Python, PyTorch, TensorFlow, and edge/cloud prototyping
Aug 2025 – Ongoing
- Developing AI-driven software infrastructures and project management applications
- Providing strategic consultancy for effective AI adoption across the organization
Aug 2025 – Sep 2025
- Worked on mechatronics, automation, mechanical design, and hydraulic/pneumatic systems
Aug 2024 – May 2025
- Delivered practical AI education to 200+ professionals
- Supported cross-industry AI adoption in finance, HR, and logistics
Jan 2024 – Jul 2024
- Delivered training in ML, data analytics, Python, and deep learning
- Mentored participants through end-to-end AI project development
Jan 2024 – Feb 2024
- Designed and deployed CNN-based quality control systems on edge devices
- Reduced industrial inspection time by 40% through real-time CV pipelines
May 2023 – Nov 2023
- Developed GAN-based synthetic data generators
- Built CV pipelines for plant disease classification via ROV systems
- Integrated GPT, TradingView_TA, and yFinance APIs
- Enabled real-time market analysis, intent detection, and chart parsing
- Built a Bayesian CNN for material composition prediction
- Used Monte Carlo Dropout to improve uncertainty estimation
- Developed a CV-powered robotic system for real-time field monitoring
- Enabled early plant health diagnostics and autonomous data capture
- Deployed CNN-based segmentation on AWS SageMaker
- Improved QA performance and reduced inspection errors
- Web-based platform for evaluating trading strategies
- Modular Python backend, Streamlit deployment
- https://strategy-cloud.streamlit.app
- Designed a Variable Frequency Drive control architecture
- Enabled significant energy savings with PID-based automation
Languages: Python, C/C++, MATLAB, R, NodeJS
Frameworks & Libraries: PyTorch, TensorFlow 2, Scikit-learn, Hugging Face, OpenCV
Data & Analytics: Pandas, PySpark, Seaborn, Plotly, EDA, Feature Engineering
Backend & Deployment: AWS, Azure, Django, FastAPI, Streamlit, Docker, Git, Linux
Domains: NLP, Computer Vision, LLMs, Generative AI (GAN/VAE), Time Series, Automation
B.Sc. Mechatronics Engineering — Işık University (2021–2026)
- Focus on AI, robotics, and data-driven systems
- Experience in Autonomous Underwater Vehicle CV & automation projects
- 2nd Place — Mapin Datathon (2025)
- 4th Place — Yıldız Technical University Bootcamp (2024)
- 7th Place — Invent Analytics Retail Analytics Datathon
- Founder — AI Clubs Union (2022 – Ongoing)
- Committee Member — AI & Technology Association – AAAI (2025 – Ongoing)
- English: Professional
- Turkish: Native