NLP & AI Research Candidate | Bar-Ilan University

Practical experience in data quality.
A drive to advance reliable AI.

Third-year Industrial Engineering & Information Systems student.
Currently a Market Researcher at Lusha.

Hands-on experience in data quality, model evaluation, and research-driven process design. Ready to help the lab investigate model failures, build reliable evaluation methods, and turn research questions into practical experiments.

3.5+ yearsin CV data & product
30+ modelsevaluated
89 GPABar-Ilan University

01 | What I bring to the lab

Reliable model evaluation and failure analysis

Evaluated 30+ CV models and led 12 annotators. Traced data and workflow failures with Data Science, contributing to a 23% precision improvement on a model that had challenged the department for three years.

Making data more useful through systematic research

Researched five technology companies and academic sources, then built five processes that doubled work speed and cut required annotations by 67%.

Turning open questions into testable workflows

Redesigned CV model training and management workflows, increasing output by 50% and reducing recurring manual work by 80%.

Tag, the Data Operations IL meerkat mascotIn development

02 | Tag · AI advisor for data labeling and model evaluation

Making expert knowledge useful to an AI agent

Tag is an AI advisor for data labeling, quality, and model evaluation that I am co-developing with Danielle Menuhin, founder of Data Operations IL. We are building and validating its knowledge base with industry leaders to provide source-grounded answers, surface assumptions, and acknowledge knowledge gaps.

Try Tag

Early version, shared for your review. Please don’t forward the demo. Feedback is very welcome.

03 | Research Interests

What interests me

Developing accurate and reliable methods for evaluating AI models

What drives me

Industry conversations and meetups have exposed me to subjective evaluation methods, motivating me to develop rigorous, reliable approaches that provide clear, well-founded answers.

What interests me

Making data more accessible and useful for models and agents

What drives me

Building Tag and working with AI tools has shown me how strongly wording and information structure affect model outputs. Even asking a model to reason before categorizing can improve how well it uses the same data.

04 | References

“What most impressed me about Shaked is his fast learning skills and his capability to report to managers from three different departments while delivering outstanding work.”
Moti Cohen
Moti CohenSr. Project Manager
“With remarkable attention to detail, Shaked contributed a significant part to our successful new product launch. Thanks to his rare communication skills, our entire organization was much more motivated.”
Almog Goldstein
Almog GoldsteinFormer VP Product

05 | Contact

Let’s talk research