Agentic & Generative AI
Multi-modal architecture, ML and LLM orchestration, and secure enterprise governance.
Engin Bozaba · Expert AI Engineer @ Vodafone
Scaling enterprise AI from prototype to production.
Seven-plus years building agentic AI, LLM inference optimization and MLOps across telecom, healthcare, insurance and cybersecurity — AWS Certified Solutions Architect.
About
Expert AI Engineer with over 7 years of experience scaling enterprise AI solutions across telecom, healthcare, insurance and cybersecurity.
My work spans agentic and generative AI — multi-modal architecture, ML and LLM orchestration, and enterprise governance — alongside the high-performance computing that makes it viable: CUDA kernel engineering and post-training quantization for LLM inference. On the infrastructure side I have built near-petabyte data pipelines, cut costs by up to 5x, and standardised deployment on NVIDIA NGC and Docker.
My MSc research at Bahçeşehir Üniversitesi focused on post-training quantization for efficient inference of large language models on modern GPU architectures. I have authored 7 peer-reviewed papers with more than 150 citations, mostly in computational pathology.
I also write and teach. I am the author of "End-to-End Data Science with Python", have instructed more than 20,000 students across 50 countries, and have delivered corporate training to over 200 professionals. I have been an AWS Community Builder in the Machine Learning category since 2022.
Core capabilities
High-Performance Computing
CUDA kernel engineering and post-training quantization for LLM inference.
MLOps & Infrastructure
Near-petabyte data pipelines, cost optimization up to 5x, and NVIDIA NGC and Docker deployment.
Experience
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Mar 2025 – Present
Expert AI Engineer
Vodafone
- Agentic and generative AI: architecture, orchestration and scaling.
- Cost and efficiency optimization, maximizing GPU and token performance.
- Enterprise AI governance: security, compliance and guardrails.
- Delivered the internal Generative AI & Agentic AI training series to 135 colleagues.
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May 2024 – Mar 2025
Expert AI Engineer
Neova Sigorta
- Built an MLOps platform that accelerated the model development lifecycle by 7x.
- Created a pipeline library, cutting deployment time by 3x and resource use by 5x.
- Engineered real-time deep learning for driver drowsiness detection.
- Designed near-real-time and batch anomaly detection pipelines for cyberattack defence.
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May 2022 – May 2024
Senior AI Engineer
Virasoft Corporation
- Deployed AI at more than 10 Tier-1 hospitals, leading system design and clinical workflow integration.
- Cut inference latency by 20x through CUDA kernel engineering and GPU optimization.
- Managed hybrid cloud and cluster infrastructure, scaling AWS and on-premise distributed storage and compute for high availability.
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May 2020 – May 2022
AI Engineer
Virasoft Corporation
- Built production detection and segmentation models for digital pathology.
- Managed near-petabyte data pipelines, building MLOps and S3 systems from scratch.
- Standardized deployments with high-performance NVIDIA NGC and Docker environments.
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Dec 2019 – May 2020
AI Intern
Virasoft Corporation
- Developed a PyTorch-based data loading and pre-processing library for deep learning models.
- Implemented stain normalization to a reference tissue for histopathology images.
Education
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2023 – 2025
MSc, Artificial Intelligence Engineering
Bahçeşehir Üniversitesi
GPA 3.88/4.00. Thesis: Post-training quantization for efficient inference of large language models on modern GPU architectures.
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2016 – 2020
BSc, Biomedical Engineering
İnönü Üniversitesi
GPA 3.66/4.00. Ranked 2nd out of 65. High Honour Certificate.
Certifications
- AWS Certified Solutions Architect – Associate
- NVIDIA Certified Associate — AI in the Data Center
- Agentic AI Nanodegree
- AWS Community Builder, Machine Learning