Vanessa Umar
@vanessaumar
Experienced software and AI engineer specializing in production-ready ML systems and applied computer vision.
What I'm looking for
I am a software engineer with a decade of experience building and launching AI systems that handle real-world data, flawed models, and production bugs. I specialize at the intersection of engineering and applied ML, turning research ideas into dependable pipelines and practical tools for teams.
My work spans computer vision, video/audio analysis, NLP, and LLM workflows, using Python and C++ alongside PyTorch/TensorFlow, Kafka/GStreamer, and AWS. I have led efforts on prompt engineering, RAG, LangChain, evaluation rubrics, and guardrails to keep model behavior consistent and safe.
I focus on practical ML delivery: clear label and data formats, repeatable experiments, robust evaluation, and collaboration with cross-functional teams to ship reliable, maintainable systems in production.
Experience
Work history, roles, and key accomplishments
AI Software Engineer
Outlier AI
Aug 2022 - Dec 2025 (3 years 4 months)
Developed prompt workflows, evaluation rubrics, and test cases to keep LLM responses consistent and safe, reducing labeling disagreements and early failure modes. Coordinated cross-team feedback to align model behavior with real-world usage.
Led data-quality and annotation guideline efforts to improve training datasets, optimizing sampling and review methods to balance speed and label reliability. Produced repeatable evaluations and summaries to drive model improvements.
Junior Software Developer
MJH Life Sciences
Nov 2014 - Feb 2017 (2 years 3 months)
Built and maintained web features and backend services for healthcare publishing, focusing on reliability, accessibility, and editor usability to streamline content workflows. Delivered UI components and internal tools in collaboration with editorial teams.
Implemented internal web-app features and backend tools, adopting production best practices like code reviews and testing to deliver readable, maintainable code. Participated in sprint planning and debugging across the team.
Education
Degrees, certifications, and relevant coursework
Florida State University
Bachelor of Science, Computer Science
2009 - 2013
Grade: 4.1 GPA
Completed a Bachelor of Computer Science program with focus on software engineering and machine learning fundamentals.
Availability
Location
Authorized to work in
Job categories
Skills
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