07/19/2026 updated
100 % available
AI Engineer | Data Scientist
Çankaya, Turkey
Only remote
MSc in Data and Information Engineering (Expected 2027), Hacettepe UniversityAbout me
AI Engineer who transforms complex corporate data into autonomous decision-making systems.Design end-to-end multi-agent architectures, RAG, LLM, and ML systems, and deploy them to production using MLOps, FastAPI, and Docker. I am open to remote freelance projects to develop new AI solutions.
Automatic Data Processing EquipmentApplication Programming Interfaces (APIs)Artificial IntelligenceApache AirflowData AnalysisComputer VisionBusiness IntelligenceBusiness Intelligence DevelopmentData ArchitectureData IntegrationData Manipulation LanguagesData TransformationData ProfilingData Transformation ServicesData Intelligence
Machine Learning & Predictive Modeling
Expertise in building production-grade ML/DL models including XGBoost, LightGBM, IsolationForest, and ensemble methods for tasks such as SLA breach prediction, fraud detection, and time-series forecasting. Experience with the full model lifecycle from feature engineering and training to deployment and monitoring.
NLP & Generative AI
Proficiency in NLP techniques including topic modeling, sentiment analysis, NER, and BERT-based architectures. Hands-on experience with LangChain, LLM orchestration, RAG architecture, and local LLM deployment for enterprise chatbot and document Q&A solutions.
MLOps & End-to-End Pipeline Development
Strong background in building and maintaining end-to-end data and ML pipelines using MLflow, Docker, FastAPI, Airflow, and GitHub. Experience with experiment tracking, model registry, ETL automation, and serving ML models via REST APIs.
Decision Science & Optimization
Application of operations research methods including Linear Programming (LP), MILP, and Google OR-Tools for workforce planning, lab resource scheduling, and mathematical optimization platforms.
Database Management
Design and management of relational and vector databases including PostgreSQL, MSSQL, SQLAlchemy, FAISS, and ChromaDB for scalable data storage and retrieval in production environments.
Computer Vision & OCR
Development of OCR and computer vision solutions using OpenCV and Tesseract with advanced preprocessing techniques for noisy document handling and enterprise document scanning.
Data Visualization & Business Intelligence
Creation of interactive dashboards and reports using Power BI, Matplotlib, Seaborn, and Plotly for real-time KPI tracking, operational analytics, and stakeholder communication.
Cloud & Infrastructure Basics
Foundational experience with AWS services including EC2 and S3 for cloud-based data storage and compute resource management.
APIs & Web Frameworks
Development of RESTful APIs and web applications using FastAPI, Flask, Streamlit, and Pydantic with dependency injection patterns for scalable service deployment.
Expertise in building production-grade ML/DL models including XGBoost, LightGBM, IsolationForest, and ensemble methods for tasks such as SLA breach prediction, fraud detection, and time-series forecasting. Experience with the full model lifecycle from feature engineering and training to deployment and monitoring.
NLP & Generative AI
Proficiency in NLP techniques including topic modeling, sentiment analysis, NER, and BERT-based architectures. Hands-on experience with LangChain, LLM orchestration, RAG architecture, and local LLM deployment for enterprise chatbot and document Q&A solutions.
MLOps & End-to-End Pipeline Development
Strong background in building and maintaining end-to-end data and ML pipelines using MLflow, Docker, FastAPI, Airflow, and GitHub. Experience with experiment tracking, model registry, ETL automation, and serving ML models via REST APIs.
Decision Science & Optimization
Application of operations research methods including Linear Programming (LP), MILP, and Google OR-Tools for workforce planning, lab resource scheduling, and mathematical optimization platforms.
Database Management
Design and management of relational and vector databases including PostgreSQL, MSSQL, SQLAlchemy, FAISS, and ChromaDB for scalable data storage and retrieval in production environments.
Computer Vision & OCR
Development of OCR and computer vision solutions using OpenCV and Tesseract with advanced preprocessing techniques for noisy document handling and enterprise document scanning.
Data Visualization & Business Intelligence
Creation of interactive dashboards and reports using Power BI, Matplotlib, Seaborn, and Plotly for real-time KPI tracking, operational analytics, and stakeholder communication.
Cloud & Infrastructure Basics
Foundational experience with AWS services including EC2 and S3 for cloud-based data storage and compute resource management.
APIs & Web Frameworks
Development of RESTful APIs and web applications using FastAPI, Flask, Streamlit, and Pydantic with dependency injection patterns for scalable service deployment.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentTurkishNative speaker
Project history
Architected a multi-layer Fraud & Anomaly Detection Platform (590K transactions, AUC-ROC 0.919, AP 0.556) with 36 engineered features, 5-layer detection engine, 6 context adjusters, 10-rule YAML engine, multi-agent orchestrator, and ChromaDB + Ollama RAG for Turkish explanations via FastAPI. Developing LabAI_Optima for lab resource optimization using Google OR-Tools (MILP) and ML forecasting. Building a Regulation Chatbot with OCR, vector search, and RAG for enterprise legal document Q&A. Contributing to open-source ML tooling on GitHub.
Designed ML/DL prediction engines (XGBoost, LightGBM) to forecast SLA breaches and project timelines, improving decision-making speed by 30%. Automated ETL workflows (Python, Airflow), reducing manual reporting by 20%. Architected RAG pipelines (FAISS, ChromaDB) for enterprise knowledge search and built production-grade BERT-based chatbots. Designed scalable PostgreSQL/MSSQL schemas and developed OCR and computer vision solutions for noisy documents. Conducted large-scale NLP analytics on enterprise survey data.
Queried and analyzed multi-million-row datasets using Power BI and advanced Excel for operations and procurement. Delivered 5+ end-to-end projects and 25+ ad-hoc requests. Optimized stock, purchasing, and sales datasets via demand forecasting and inventory modeling (10% efficiency gains, 15% pricing accuracy). Designed 10+ interactive Power BI dashboards for real-time KPI tracking across foreign countries.