I'm Shachar Heyman, a Data Scientist & Machine Learning Engineer with 8+ years of experience building production AI systems across computer vision and LLM-based platforms. I design end-to-end ML pipelines, evaluation frameworks and adaptive learning systems that translate research into scalable products. I have led ML initiatives from early-stage development to production deployment in startups and enterprise environments. I'm passionate about building robust AI infrastructure and deploying models that deliver measurable real-world impact. My work spans LLM systems, evaluation, and adaptive AI, along with industrial visual inspection AI and generative data augmentation. I enjoy cross-functional collaboration and turning research into reliable, scalable products that solve real problems.

Shachar Heyman

I'm Shachar Heyman, a Data Scientist & Machine Learning Engineer with 8+ years of experience building production AI systems across computer vision and LLM-based platforms. I design end-to-end ML pipelines, evaluation frameworks and adaptive learning systems that translate research into scalable products. I have led ML initiatives from early-stage development to production deployment in startups and enterprise environments. I'm passionate about building robust AI infrastructure and deploying models that deliver measurable real-world impact. My work spans LLM systems, evaluation, and adaptive AI, along with industrial visual inspection AI and generative data augmentation. I enjoy cross-functional collaboration and turning research into reliable, scalable products that solve real problems.

Available to hire

I’m Shachar Heyman, a Data Scientist & Machine Learning Engineer with 8+ years of experience building production AI systems across computer vision and LLM-based platforms. I design end-to-end ML pipelines, evaluation frameworks and adaptive learning systems that translate research into scalable products. I have led ML initiatives from early-stage development to production deployment in startups and enterprise environments. I’m passionate about building robust AI infrastructure and deploying models that deliver measurable real-world impact.

My work spans LLM systems, evaluation, and adaptive AI, along with industrial visual inspection AI and generative data augmentation. I enjoy cross-functional collaboration and turning research into reliable, scalable products that solve real problems.

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Language

English
Fluent
Hebrew (modern)
Fluent
German
Advanced

Work Experience

Data Science & AI Consultant (Contract) at Convergent-AI
January 1, 2025 - Present
Advised leadership on data science strategy and designed the ML architecture for an enterprise training platform based on LLM-driven human-interaction simulations. Designed adaptive simulation framework that personalizes scenarios based on user performance history, behavioral features and skill profiles. Built evaluation pipelines to assess conversational performance across diverse training scenarios. Developed benchmarking methodologies for measuring human-likeness of AI-driven conversations. Led ML-related technical direction across the engineering team, defining evaluation frameworks, experimentation workflows and long-term DS roadmap.
Machine Learning Engineer / Data Scientist at Siemens
January 1, 2023 - January 1, 2025
Designed and deployed deep learning systems for industrial visual inspection, improving defect detection accuracy and robustness in production environments. Built end-to-end ML pipelines from data ingestion to model deployment and monitoring, enabling reliable and repeatable model delivery across manufacturing systems. Led generative data augmentation initiative to expand industrial training datasets and improve model generalization across diverse defect types. Collaborated with product and engineering teams to integrate computer vision models into scalable industrial AI solutions.
Machine Learning Engineer / Data Scientist at Inspekto (acquired by Siemens)
January 1, 2017 - January 1, 2023
Built end-to-end ML pipelines from data acquisition to deployment and monitoring. Implemented production-grade CI/CD pipelines ensuring reliable and repeatable model delivery. Developed computer vision models for automated defect detection using CNNs and traditional methods. Partnered with engineers to embed ML solutions into customer-facing products.
Teaching Assistant at Tel Aviv University
January 1, 2018 - January 1, 2021
Supported undergraduate mathematics courses (Linear Algebra, Set Theory, Combinatorics & Topology).

Education

B.Sc. Mathematics & Philosophy at Tel Aviv University
January 1, 2017 - December 31, 2020
CS231n: Deep Learning for Computer Vision at Stanford University
January 1, 2021 - December 31, 2021
German Language Proficiency (A1-B2) at Goethe Institut & Sprachsalon Berlin
January 1, 2024 - March 16, 2026

Qualifications

CS231n: Deep Learning for Computer Vision
January 1, 2021 - December 31, 2021
German Language Proficiency (A1-B2)
January 1, 2024 - March 16, 2026

Industry Experience

Software & Internet, Manufacturing, Media & Entertainment, Education, Professional Services