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Computer Science graduate student at Georgia Tech specializing in machine learning, with a strong track record building full-stack web applications and data-driven analytics systems. I enjoy turning complex data and ML ideas into reliable, user-focused products.…

Neja Atapattu

Full Stack Developer, Data Scientist, Software Engineer, +1

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Computer Science graduate student at Georgia Tech specializing in machine learning, with a strong track record building full-stack web applications and data-driven analytics systems. I enjoy turning complex data and ML ideas into reliable, user-focused products.…

Available to hire

Computer Science graduate student at Georgia Tech specializing in machine learning, with a strong track record building full-stack web applications and data-driven analytics systems. I enjoy turning complex data and ML ideas into reliable, user-focused products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Graduate Teaching Assistantship at Georgia Institute of Technology

May 1, 2025 - Present

Facilitated learning for 100+ students in Unity game development, including gameplay systems, level design, and player interaction mechanics via weekly office hours and project guidance. Provided feedback on game architecture, UI systems, animation, and interactive gameplay experiences.

Software Developer at Genuine Parts Company

May 1, 2024 - December 1, 2024

Engineered an analytics dashboard providing store managers with actionable product sales metrics and priority customer data, improving inventory distribution by 50%. Integrated GCP services (Pub/Sub, Dataflow, BigQuery) to ingest, process, and store large volumes of customer data from multiple sources.

Computer Hardware Engineer at NASA L’SPACE Program

May 1, 2023 - August 1, 2023

Designed a low-cost robotic NASA mission concept aligned to research objectives. Developed the Preliminary Design Review, including rover communications and data handling system, and created trade study tables for communications, data computing, and spacecraft software architecture.

Undergraduate Researcher - Material Discovery with AI (Subteam Lead) at Fung Lab

January 1, 2023 - May 1, 2025

Built and trained predictive models to assess the accuracy of property predictions of molecular structures. Designed and implemented denoising-based pretraining to improve feature learning, and developed an automated hyperparameter search framework for model optimization.