About me
Grounded in production. Driven by results.
Hi—I'm Nellie.
I work at the intersection of applied machine learning, data science, and software engineering.
I'm completing an M.S. in Computer Science at Georgia Tech with a specialization in Artificial Intelligence, expected December 2026. My graduate work spans AI/ML, data, algorithms, HCI, and systems. Graduate coursework
My applied work includes predictive modeling, NLP and sequence models, multimodal learning, retrieval-augmented generation, and structured LLM workflows. Across these projects, I emphasize baselines, model comparison, error analysis, reproducibility, and clear system boundaries.
Before graduate school, I worked on Java microservices for JPMorgan Chase's real-time payments platform, contributing to API contracts, automated testing, CI workflows, release readiness, operational documentation, and production support. Earlier, as an ML Research Assistant, I built and evaluated predictive and clustering models on behavioral survey data using Python and R and presented the results to faculty and students.
Let's Connect!
Looking for ML Engineer and AI Engineer roles.
I build RAG pipelines, agentic workflows, and applied ML systems —
with production engineering discipline behind them.
Recruiters: a short note + role link is perfect.
Contact
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LinkedInlinkedin.com/in/cordovank
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GitHubgithub.com/cordovank
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