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Jolie BlakeJB
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Jolie Blake

@jolieblake

AI-driven learning analyst bridging LLM workflows and data-informed interventions for student outcomes.

Trinidad and Tobago
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What I'm looking for

I’m looking to build and evaluate AI-driven learning systems where I can analyze performance data, detect failure patterns, and improve LLM workflows (RAG, NLP, user-facing tools) to drive measurable student outcomes.

I’m a PhD scientist and award-winning educator applying AI-driven systems—especially LLM-powered applications, retrieval-augmented generation (RAG), and NLP classification—to improve learning experiences. I analyze performance data to identify failure patterns and translate findings into targeted workflow improvements.

In my Advanced STEM AI Data Trainer role at Invisible Technologies, I evaluate AI model outputs in chemistry and mathematics, using structured rubrics and data-informed critique to refine accuracy and behavior. Earlier, my postdoctoral work in product engineering and metrology improved throughput by 15% and reduced projected production costs by 20% through data-driven redesign.

I build user-facing AI tools that are scalable and reliable, from RAG chatbots (ChromaDB + sentence-transformers) to emotion detection and real-time image captioning (BLIP). I’m currently pursuing an IBM Generative AI Engineering Certification (in progress, expected July 2026) to deepen how I engineer effective AI pipelines for real-world learning needs.

Experience

Work history, roles, and key accomplishments

IT
Current

Advanced STEM AI Data Trainer

Invisible Technologies

Oct 2024 - Present (1 year 7 months)

Evaluated AI model outputs in chemistry and mathematics and provided rubric-based, data-informed feedback to identify performance gaps and recommend targeted training strategies. Collaborated with cross-functional teams to refine AI tutor tools in line with evolving product behavior requirements.

CT

Postdoctoral Researcher (Metrology)

Chalmers University Of Technology

Mar 2019 - Mar 2021 (2 years)

Improved throughput of an optical measurement system by 15% through data-driven process redesign. Developed scalable nanofabrication strategies that reduced projected production costs by 20% using improved experimental workflows and system performance analysis.

UD

Graduate Research Assistant (Optics)

University Of Delaware

Aug 2011 - Jul 2017 (5 years 11 months)

Developed an ultrafast microscopy measurement technique enabling new forms of defect analysis in nanomaterials. Wrote data-import and cleaning scripts to compile image data into analytical videos and authored 10 peer-reviewed publications.

Education

Degrees, certifications, and relevant coursework

University of Delaware logoUD

University of Delaware

Doctor of Philosophy (PhD), Physical Chemistry

Earned a Ph.D. in Physical Chemistry from the University of Delaware.

Franklin and Marshall College logoFC

Franklin and Marshall College

Bachelor of Arts in Chemistry, Chemistry

Earned a B.A. in Chemistry from Franklin and Marshall College.

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