Tal M. Hacham
Generative AI Reasercher & Data Sciences
Tel Aviv
Summary
Applied Scientist and Generative AI Researcher with 5+ years of experience in machine learning and applied research, specializing in text-to-image diffusion models, computer vision, and large language models (LLMs). End-to-end ownership of ML systems—from data-centric development and model training to deployment, optimization, and monitoring in production environments. Strong track record of bridging state-of-the-art research with product requirements, collaborating cross-functionally with engineering and product teams, and co-authoring published research in generative AI and computer vision.
Overview
9
9
years of professional experience
Work History
Generative AI Researcher (Applied Scientist)
Bria AI
05.2022 - Current
- Design and train large-scale diffusion and text-to-image foundation models, using transformer-based architectures for both vision and language components, targeting real-world enterprise use cases.
- Lead data-centric development for large image–text corpora: collection, curation, quality filtering, deduplication, and bias/safety checks to improve downstream model quality and robustness.
- Fine-tune and align foundation models (e.g., via methods such as DPO, LoRA) to adapt base models to specific customer styles, verticals, and constraints while maintaining image fidelity and stability.
- Own end-to-end ML pipelines including data ingestion, training, experiment tracking, evaluation against quantitative and qualitative metrics, and model versioning.
- Bridge research and product by surveying state-of-the-art generative multimodal research, prototyping new ideas, and transitioning successful approaches into production-ready features for enterprise customers.
Generative Ai Researcher (applied Scientist)
Volcani Institute (Agricultural Research Organization)
01.2020 - 01.2022
- Conducted applied computer vision research for agriculture, using hyperspectral imaging to detect early-stage plant diseases and stress.
- Collected and processed large-scale hyperspectral image datasets and developed ML/DL models for pixel-level and plant-level classification, in close collaboration with agronomists and domain experts.
Information Systems Manager
Riba Yehezkel Co.
01.2017 - 01.2020
- Worked with senior management to plan, develop, coordinate, and execute technical strategies aligned with organizational goals.
- Led the analysis and design of information systems to support operational workflows and data-driven decision-making.
- Applied cybersecurity best practices to information systems, resulting in achieving ISO 27001 certification for the organization.
Education
Master of Science (M.Sc.) - Artificial Intelligence
Ben-Gurion University of the Negev
01.2022
Bachelor of Science (B.Sc.) - Industrial Engineering
Ben-Gurion University of the Negev
01.2018
Military Service
"Yahalom" - special forces unit within the Engineering Corp, Sargent in a combat squad; commander and combat soldier.
PUBLICATIONS
E. Gutflaish, E. Kachlon, H. Zisman, T. Hacham, N. Sarid, A. Visheratin, S. Huberman, G. Davidi, G. Bukchin, K. Goldberg, R. Mokady. “Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions.”
Tech Stack
Python, PyTorch, AWS, Kubernetes, SQL
Timeline
Generative AI Researcher (Applied Scientist)
Bria AI
05.2022 - Current
Generative Ai Researcher (applied Scientist)
Volcani Institute (Agricultural Research Organization)
01.2020 - 01.2022
Information Systems Manager
Riba Yehezkel Co.
01.2017 - 01.2020
Bachelor of Science (B.Sc.) - Industrial Engineering
Ben-Gurion University of the Negev
Master of Science (M.Sc.) - Artificial Intelligence
Ben-Gurion University of the Negev