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Kevin Armengol

@kevinarmengol

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Detail-oriented Data Scientist bridging AI, creative thinking & cross-disciplinary ideas.

United States

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What I'm looking for

Interested in opportunities that leverage generative AI and agent-based systems to build practical, scalable tools and workflows that support complex applications.

My background spans a diverse range: clinical documentation, academic neuroscience and molecular biology research, large-scale biomedical data initiatives, and experimental AI research. My recent work has focused heavily on generative AI, LLMs, and agentic systems—developing and curating datasets, designing novel methodologies by combining diverse analytical approaches, and uncovering meaningful patterns in complex data.

I thrive on obsessive attention to detail, enjoy getting into the weeds to uncover underlying patterns, and love tackling problems with creative, cross-disciplinary solutions. I’m always looking for clever ways to bridge ideas, tools, and concepts—sometimes it works, sometimes it doesn’t, but you miss all the shots you don’t take. Above all, I adapt easily, work well across teams, and bring a mix of technical depth and big-picture thinking to whatever I do.

Currently, I’m interested in opportunities that leverage generative AI and agent-based systems to build practical, scalable tools and workflows that support complex applications.

Outside of my technical work, I’m also a passionate musician and am especially interested in creative applications at the intersection of AI and music—particularly for enabling new forms of musical expression, composition, and exploration.

Experience

Work history, roles, and key accomplishments

Data Scientist | RLHF & Data Curation

Microsoft (MSAI)

Jan 2024 - Jan 2025 (1 year)

Designed and managed large-scale annotation campaigns for RLHF, conducted user feedback analysis, developed rigorous evaluation guidelines/workflows, trained human annotators, and ensured diverse, high-quality training data. Resulted in significant improvements on internal benchmarks of accuracy, relevance, response detail, and citation precision and recall.

Data Curation User Analysis Reinforcement Learning Python Machine Learning Statistical Analysis Data Science Data Analysis Research Artificial Intelligence Generative AI Datasets

Data Scientist / GenAI Consultant

Upwork

Sep 2023 - Jan 2024 (4 months)

Consulted on generative AI projects, including personalized AI tutors, research and grant writing assistants, and interactive fashion-recommendation chatbots. Built custom GPT-powered assistants using FastAPI and WebSocket integrations to enhance user experience and deliver real-time, personalized recommendations.

Generative AI AI Tutoring Services Python Data Analysis LLM fastAPI ChatGPT Prompt Skills AWS WebSockets Consulting Data Science Developer

Product Manager / Data Scientist

Publicis Sapient

Dec 2019 - Sep 2023 (3 years 9 months)

Developed retrieval-augmented AI pipelines and data curation workflows in Python for biomedical applications. Managed operations, user support, stakeholder alignment, and successfully secured $150k grant funding. Collaborated closely with developers to ensure system reliability, performance, and quality assurance.

Python User Support Data Analysis Quality Assurance Project Management Stakeholder Engagement Data Management Data Science Data Modeling Bioinformatics Databases Resource Library Curation Medical Terminology Medical Coding Research Management ETL Tools Operations Data Quality

Graduate Research Assistant

Kanold Lab, University of Maryland

Aug 2016 - May 2019 (2 years 9 months)

Researched how early exposure and behavioral training shape mouse brain organization and network dynamics. Utilized advanced imaging and statistical methods to study cortical activity in awake animals.

Teaching Assistant:
- Mammalian Physiology lab (BSCI440)
- Human Anatomy and Physiology lab (BSCI202)

Research Methodologies Imaging Data Pipelines Auditory Cortex Research Presentation Statistical Analysis Neuroscience Graph Theory Matlab R Programming Genetics Biology Experimental Design Experimentation

Lab Manager & Technician

Kanold Lab, University of Maryland

Jun 2015 - Aug 2016 (1 year 2 months)

Managed lab operations, databases, regulatory compliance, and facilitated research through neurosurgery, histology, and behavioral assays. Ensured lab efficiency by maintaining equipment, supplies, and documentation.

Compliance Database Management Procurement Histology Neuroscience Good Laboratory Practices (GLP)Research Experimentation Manager Operations

Graduate Research Assistant

Cox Lab, George Mason University

Aug 2012 - May 2015 (2 years 9 months)

Researched genetic, molecular and behavioral mechanisms of cold nociception in Drosophila. Developed novel behavioral assays, applied advanced imaging and statistical techniques.

Teaching Assistant:
- Genetics lab (BIOL311)