Engin Turkmen

About Engin Turkmen

Lead Data Scientist | Architecting AI Solutions That Drive Business ImpactI build production-grade AI systems that scale. From reducing operational costs by millions to accelerating decision-making cycles from weeks to minutes, I deliver solutions that transform business outcomes through intelligent automation and strategic insights. Specialization: Agentic AI & Enterprise LLM SystemsI pioneer autonomous agent architectures that combine LLMs, knowledge graphs, and multi-agent orchestration to solve complex business problems at scale. What I DeliverGenerative AI & LLM EngineeringFine-tuning transformer models (BERT, GPT) • Building RAG pipelines • Deploying conversational AI systems • Vector database optimization (Qdrant, Chroma, MongoDB Atlas, FAISS) • Prompt engineering for production use casesAgentic AI DevelopmentBuilding autonomous AI agents with LangChain, LangGraph & LlamaIndex • Multi-agent orchestration • Rapid prototyping with n8n • MCP integration • Copilot Studio Agent developmentGraph Analytics & Knowledge EngineeringLeveraging Neo4j, NetworkX & GNNs to map hidden relationships • Link prediction • Knowledge graph construction • Powering recommendation engines that drive revenueProduction ML at ScaleEnd-to-end ownership from data engineering to MLOps • Deploying on AWS SageMaker, Azure ML & Databricks • Model monitoring & CI/CD pipelines • AutoML implementation (AutoGluon, Hyperopt) Technical ArsenalAI/ML FoundationPython • PyTorch • TensorFlow • Keras • Scikit-Learn • XGBoost • LightGBM • NLP (NLTK, Gensim, Spacy) • Deep Learning • Reinforcement Learning • Time-Series ForecastingAgentic AI StackLangChain • LangGraph • LlamaIndex • RAG Modeling • Vector Databases • Hugging Face Transformers • Multi-Agent Systems • n8n AutomationData Engineering & CloudPySpark • Databricks • SQL (MySQL, PostgreSQL) • AWS SageMaker • Azure ML • Big Data (HIVE, Impala, Cloudera) • Linux • Bash ScriptingGraph & NetworkNeo4j • NetworkX • Cypher • Knowledge Graphs • Graph Neural Networks • Link PredictionMLOps & DeploymentDocker • Git/GitHub/GitLab/Bitbucket • Flask • FastAPI • REST APIs • CI/CD PipelinesVisualization & BITableau • Power BI • Matplotlib • Seaborn • Plotly • Bokeh • Spotfire Leadership PhilosophyI lead by building: mentoring data scientists, establishing best practices, and translating executive vision into technical roadmaps. My cross-functional approach ensures AI initiatives align with business KPIs, not just technical benchmarks.

Experience

1. Data Scientist Lead

   PNC

   Feb 2025 — Present · Pittsburgh, PA, US

Education

• Milli Savunma Üniversitesi

  Bachelor of Science - BS, Systems Engineering

  1998 — 2002

• Old Dominion University

  Licentiate degree, Mathematics

  2017 — 2018

• Selçuk Üniversitesi

  Master of Science - MS, Business Administration and Management, General

  2005 — 2007

• Purdue University

  PG in Data Engineering, Information Technology

• Milli Savunma Üniversitesi

  Master of Arts - MA, National and International Security Strategies, Management and Leadership

  2010 — 2012

• Old Dominion University

  Doctor of Philosophy - PhD, Engineering/Industrial Management

  2016

• NATO SCHOOL OBERAMMERGAU

  Licentiate degree, NATO Courses

  2015 — 2016