Ozgur Agrali
AI Engineer | Machine Learning & NLP Specialist
Languages
- French: Intermediate (B1 – improving)
- English: Professional
- Kurdish: Native
- Turkish: Native
Soft Skills
- Analytical and adaptable, quick to learn new technologies
- Effective communicator with cross-functional teams
- Curious, innovative, and results-driven
Technical Skills
- AI & Machine Learning: Python (expert), PyTorch, TensorFlow, Hugging Face Transformers, GenAI, LLMs (GPT, BERT, LLaMA), RAG, ASR (Whisper, DeepSpeech), Fine-tuning, Multimodal Models, Agentic AI (LangChain, LangGraph, CrewAI, AutoGen), Chatbot Development, Prompt Engineering, Explainable AI (XAI), Responsible AI, Exploratory Data Analysis (EDA), NER, Semantic Search, Embeddings, Deep Learning
- Data Engineering & MLOps: Pandas, NumPy, BeautifulSoup, Selenium, Qdrant, Redis, AWS, Azure, GCP, Docker, CI/CD Pipelines, Cron Jobs, Automated Data Collection (Web, Telegram, WhatsApp)
- Programming & Tools: SQL, C++, JavaScript, Git, FastAPI
- Prototyping & Visualization: Streamlit, Gradio, Doccano
References
-
Yusuf Sarıgöz
Google Developer Expert (Machine Learning)
Professional Summary
AI Engineer with over 5 years of experience designing and deploying end-to-end AI systems, specializing in LLMs, NLP, RAG, and ASR. Skilled in fine-tuning, optimization, and model deployment using PyTorch, TensorFlow, and Hugging Face. Experienced across health-tech and legal AI domains, delivering measurable impact. Based in France with valid EU work authorization and strong motivation to contribute to ethical, explainable, and agentic AI initiatives.
Professional Experience
AI Engineer & Co-Founder, MediTechLabs
- Co-founded a health-tech startup automating medical data with AI-driven transcription and multilingual NLP.
- Built ASR and RAG pipelines with Whisper and BERT, generating automated clinical reports for doctors.
- Optimized LLMs via quantization and pruning, achieved up to 80% faster inference on edge devices.
- Collaborated with clinicians to validate outputs and ensure compliance.
AI Engineer, De Jure
- Designed and delivered end-to-end AI pipelines for a legal search platform handling millions of documents.
- Led data collection, preprocessing, model training, and deployment within scalable cloud infrastructure.
- Implemented semantic search and vector databases (Qdrant, Redis) with real-time data ingestion and CI/CD workflows.
AI, Robotics & Cybersecurity Trainer, T3 Foundation
- Technology Trainer for middle and high school students, teaching data engineering, machine learning, and cybersecurity using Kali Linux.
- Led robotics workshops with Arduino sensors to build robotic arms.
- Delivered C++ and object-oriented programming through project-based learning.
Additional Technical Experience
- Developed NLP-based Q&A and keyword extraction tools in Python (NLTK).
- Created interactive web and mobile applications using ReactJS, Ionic, Bootstrap, and JavaScript.
- Built machine-learning prototypes for stock prediction, sentiment analysis, and object detection (YOLO, TensorFlow).
Professional Development in AI & Language Integration
- Continuing open-source RAG and Agentic AI projects (LangChain, LangGraph, CrewAI, AutoGen) and sharing contributions within developer communities.
- Joining AI conferences and trainings to stay updated with the latest research while learning French for professional integration (target C1).
Publications
- Twitter Data Analysis: Izmir Earthquake Case (2023) BERT and topic modeling for disaster response data.
- Tweet Sentiment Analysis on Metaverse Messages (2021) Classical NLP sentiment classification.
Education
- MSc in Artificial Intelligence Muğla Sıtkı Koçman University (2020 – 2022) GPA 3.76/4.0 Two published papers; transitioned to industry prior to thesis completion.
- BSc in Computer Engineering Manisa Celal Bayar University (2015 – 2020) Fully English-taught program.
Volunteering
- VRAC, France (2024 – 2025) – Supporting community-based sustainable food access initiatives.
- TOG & TEMA Foundations, Turkey (2013 – 2014) – Contributed to environmental awareness and youth-focused social responsibility projects.