I'm Maako Fangajei, a Computer Engineering student at Georgia Tech interested in how sensing, signal processing, and machine learning can be used to understand and improve human health. My current work spans wearable hardware design, biosignal processing, and embedded ML — with an emphasis on building systems that are both technically rigorous and clinically meaningful. Growing up between the U.S., Switzerland, and Ghana has shaped how I think about community and responsibility — values I carry into everything I build and pursue.
I'm an undergraduate research assistant in two labs at Georgia Tech. In the Inan Research Lab, I'm training a Temporal Convolutional Network on multimodal physiological data from Parkinson's patients, and have contributed to PCB redesign work for a wrist-worn stress detection device targeting vagus nerve modulation. I'm also a contributor to an upcoming paper in Nature Sensors on seismocardiogram beat quality classification. In the EPIC Lab, I work on the hip-knee exoskeleton team — fabricating sensor hardware, redesigning embedded system enclosures, and contributing to PCB layout work for the platform's power system. Outside of research, I serve as Treasurer and a founding executive board member of WEAR@GT, a student organization focused on prosthetics and exoskeleton competition, and work as a Peer Instructor at the HIVE Makerspace.
Technically, I want to go deeper — developing sharper intuition across embedded systems, biosignal processing, and ML, and eventually owning a research project from question to result. A graduate degree feels like a natural next step, though I'm letting the work itself guide that decision rather than committing to it abstractly.
On a personal level, freshman year taught me a lot about how to build relationships that actually matter — ones grounded in shared curiosity and mutual investment rather than proximity alone. I want to keep building on that intentionally. And as I get further along, I hope to take on a genuine mentorship role — not as a formality, but because the guidance I've received has been one of the most valuable parts of my time at Tech so far.
Incoming Learning Assistant supporting STEM instruction through office hours and small-group learning.
Undergraduate research assistant in the Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab, working on the hip-knee exoskeleton team across hardware fabrication, mechanical design, and embedded systems.
Undergraduate research assistant in the Inan Research Lab working across machine learning, biosignal processing, and wearable hardware design for physiological sensing applications.
Attended the International School of Lausanne. Took advanced coursework through the International Baccalaureate (IB) Diploma Programme.
Serve as Treasurer for WEAR @ GT, supporting the club's financial operations and budget planning.
Peer Instructor at the campus makerspace supporting front-desk operations and 3D printing services.
Corpus is a live collaborative research platform built from scratch as my first full-stack project. It lets researchers organize, annotate, and semantically search academic sources in real time, competing directly with tools like Zotero and Mendeley. The stack includes a Next.js 14/TypeScript frontend, Neon PostgreSQL with Prisma and pgvector for semantic search, Stripe for live payments, and a companion Chrome extension submitted to the Chrome Web Store.
drift. is a voice-first personal context engine built around a "speak and forget" philosophy. Users speak to update named threads of persistent information — no ambient listening, no typing. The backend is built on FastAPI with Supabase and pgvector for vector storage, Deepgram for speech-to-text, and the Claude API for context synthesis and retrieval. Designed to feel like offloading your mental state, not managing an app.