Emmanuel Watila

I’m a software engineer and AI safety researcher based in Nigeria. My work sits between product engineering, empirical model evaluation, and research tooling: I build useful systems, then study how they behave when correctness, uncertainty, and trust matter.

Right now, I’m building Readlater, an AI-powered read-it-later platform for saving, organizing, searching, summarizing, and resurfacing important reading across a browser extension, web app, and MCP workflows. I’m also maintaining Krisis, a clinical LLM evaluation framework for testing whether models can calibrate their confidence, abstain, defer, and express uncertainty in high-stakes medical reasoning tasks.

I studied Computer Engineering at the University of Maiduguri, where my thesis explored hybrid quantum-classical neural networks. Since then, I’ve worked across full-stack product engineering, front-end systems, healthcare-adjacent platforms, open-source data tooling like breadroll, and technical writing. I care about rigorous evaluation, type-safe architecture, and interfaces that make complex systems easier to reason about.

Doing

I’m currently researching quantum machine learning approaches for predictive diagnosis of chronic diseases, and working on AI safety in healthcare through Krisis, where I’m studying how clinical LLMs handle calibration, abstention, deferral, and uncertainty. I’m also working with Digital Signal Processing in Python. Alongside that, I build and maintain Readlater as a small side project.

Have a cool project?, feel free to hit me up.