About
Aman Garg
Computational scientist and product-minded engineer crafting neural data pipelines and joyful, resilient cloud experiences.
At Georgia Tech's BRAINML Lab, I translate EEG signals into actionable biomarkers while designing systems that honor human context. Previously, I led large-scale product launches at Walmart and Siemens and accelerated scientific imaging at Carl Zeiss XRM.
I'm currently exploring full-time applied ML and product engineering roles starting in May 2026—let's build something cerebral and impactful together.
About Me
I'm a computational science graduate student at Georgia Tech focused on machine learning for scientific discovery and neurotechnology. In the BRAINML Lab, I collaborate with neuroscientists to decode EEG data, prototype interpretability tooling, and ship research infrastructure that scales.
Before grad school, I led large-scale web initiatives at Walmart and Siemens, shipping microfrontends, SDKs, and production services that touch millions of shoppers worldwide. Across research and industry, I've migrated imaging toolkits to Azure with a 10× speedup, delivered real-time map editing experiences, and crafted recommendation engines from thousands of academic resources. I thrive when I can pair data-rich systems with thoughtful design to unlock measurable impact.
Researcher · BRAINML Lab
Modeling neural attention patterns in EEG recordings and building interactive analysis tooling for scientists.
Software Engineer III · Walmart
Led the Quick Mods microfrontend program to cut layout publishing from 6 months to 10 days, contributing to a $200M revenue uplift.
IEEE BHI Finalist
Built an interactive U.S. pollution map spotlighting environmental health disparities and civic storytelling.
Core Skills
Modern web stacks, robust ML experimentation, and cloud-native delivery pipelines are the backbone of my work. These are the tools I reach for most often.
Recent Experience
Georgia Tech · BRAINML Lab
Graduate Researcher
- Analyze multi-session EEG datasets to surface biomarkers for cognitive workload and attention.
- Develop interactive dashboards and signal-processing pipelines that accelerate lab experimentation.
- Prototype deep learning models and interpretability workflows for real-time neuroadaptive systems.
Carl Zeiss XRM
Cloud & AI Engineer
- Re-architected AI-based 3D reconstruction pipelines on Azure to achieve a 10× performance boost.
- Containerized imaging services with Docker to support microservice-style deployments.
- Integrated deep-learning denoising into automated scientific workflows for researchers.
Walmart
Software Engineer III
- Directed the Quick Mods microfrontend rollout, cutting layout publishing time to 10 days.
- Published a StoreMap embedding SDK on NPM and supported a React Native app for on-the-go updates.
- Collaborated with product and design partners to launch omnichannel experiences with measurable lift.
Siemens
Software Engineer
- Shipped full-stack features for the Active Workspace platform across React, C++, and MySQL services.
- Resolved P0 production incidents under aggressive SLAs in a globally distributed codebase.
- Partnered with enterprise customers to secure multimillion-dollar contracts.
Beyond the Resume
When I'm not experimenting with neural data or polishing product flows, you'll find me writing poetry, sketching, or digging into strategy games. I care deeply about mentorship and inclusive tech communities, and I'm actively building teams that welcome curious collaborators.
I'm looking to join a mission-driven team in May 2026. If that resonates with you, let's chat—whether it's about cloud-native science platforms, neuroadaptive interfaces, or your next big idea.