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Independent Consultant | AI | Machine Learning | Big Data | Fractional CTO
Some people build models. Some build data pipelines. Some build infrastructure. I connect all of it into production systems. I’m Necati Demir, a PhD computer scientist with 20 years of experience building end-to-end data, ML, and GenAI platforms. My work spans ingestion, data pipelines, feature engineering, RAG/retrieval, model development, backend APIs, cloud infrastructure, CI/CD, deployment, and monitoring. I help companies operationalize AI and machine learning; turning prototypes, notebooks, and fragmented pipelines into scalable, observable, production-ready systems. I work with startups, enterprises, and product teams as a hands-on consultant, principal engineer, architect, or fractional CTO. If you are building or fixing an end-to-end data or ML pipeline, I can help. Email: n@demir.io
Dokuz Eylul University
PhD, Modified Stacking Ensemble Approach for Network Intrusion Detection
January 1, 2010 – January 1, 2018
Dokuz Eylul University
MSc., Firewall Software Package
January 1, 2006 – January 1, 2009
Çanakkale Onsekiz Mart University
Bachelor, Computer Science
January 1, 2001 – January 1, 2005
Datagran
Chief Technology Officer & Co-Founder
October 1, 2019 – October 1, 2025
Datagran
Chief AI Officer, ML Lead, Co-Founder
October 1, 2016 – October 1, 2019
Ericsson
Consultant
January 1, 2016 – June 1, 2016
Türkiye
Toptal
Independent Contractor | Lead Engineer & Data Architect & DevOps & MLOps
October 1, 2015 – Present
Freelancer
Machine Learning Consultant
October 1, 2015 – October 1, 2016
Hermes İletişim
Technical Manager / CTO
February 1, 2011 – October 1, 2015
VAS Telekom
Technical Manager / CTO
February 1, 2011 – October 1, 2015
Freelancer
Software Developer
October 1, 2009 – January 1, 2011
Hermes İletişim
Software Developer
October 1, 2007 – September 1, 2009
Postglobal
System Administrator
February 1, 2007 – October 1, 2007
Labris
System Support and Software Developer Specialist
October 1, 2005 – September 1, 2006
Deep Learning Specialization Certificate
Coursera
June 24, 2026 – Present
AWS Certified Machine Learning - Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Solutions Architect
Amazon Web Services (AWS)
June 24, 2026 – Present
Exploratory Data Analysis
Coursera
June 24, 2026 – Present
Statistical Inference
Coursera
June 24, 2026 – Present
Practical Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Datagran), large enterprises (Ericsson), and freelance/contracting (Toptal) demonstrates adaptability to various organizational cultures. Their involvement in co-founding a company and leading technical initiatives suggests an entrepreneurial spirit and a proactive approach. The breadth of skills from low-level Linux development to high-level ML strategy indicates a continuous learning mindset and versatility. The target role of ML Engineer aligns well with their extensive ML/AI background and MLOps expertise.
Soft Skills & Operational Fit
The candidate's experience as CTO and Chief AI Officer at Datagran, along with consultant roles, indicates strong leadership, strategic thinking, and problem-solving abilities. The description of improving NPS and reducing bugs through DevOps implementation highlights a results-oriented approach and operational effectiveness. The ability to lead teams and shape product vision suggests strong communication and collaboration skills, essential for a senior role.