I build AI & data systems that reach people the internet usually leaves behind — and I lead the teams, brands, and conversations that get them adopted. Fourteen years turning data and ideas into outcomes across fintech, branding & communications, health, media & print production, government, and education.
A data-savvy builder and leader who is just as comfortable shipping a RAG pipeline as standing in front of a room to make the case for it.
I'm a M.S. Data Analytics & Visualization Graduate from Yeshiva University's Katz School, and the founder of AXAM — an offline-first AI learning platform built for places where the internet isn't a given. My work sits where machine learning, clean data, and human communication meet.
Across 14+ years I've co-founded a B2B tech firm, Wazi Group , serving 300+ clients across East Africa, migrated millions of government records, co-hosted a Massachusetts Institute of Technology OpenCourseWare Podcast reaching 5M+ people, and led a national Presidential campaign during a lockdown. I care about work that travels the last mile — technically and socially.
Most people are a builder or a communicator. The useful ones are both — they can model the data, design the brand, and then move the room. That overlap is where I work.
Production RAG pipelines, fine-tuning, on-device inference, and agent tooling — built to run reliably, not just demo well. All of it shipped from Linux, my daily-driver OS for 16+ years.
It's literally my master's. Analytics, visualization, classification, regression, and explainable models with real-world stakes — from ICU survival to household financial risk — communicated for decision-makers.
ETL, dimensional modeling, and data-quality pipelines that turn messy reality into trustworthy tables — 30+ files into a clean source of truth, 300M+ records at scale.
Stakeholder discovery, executive communication, podcasting, and team leadership — leading teams of 7, 20+ National Science Foundation customer interviews, and audiences in the millions. Data that lands.
A self-taught graphic designer — it was the very first thing that ever got me paid. That craft grew into Wazi Group's branding, print-production, and procurement arm, building brand identities for companies, NGOs, and a national presidential campaign across East Africa.
From logo inception and visual identity to large-format print, signage, and supply chain — I've shipped brand systems end to end for 400+ clients. Design isn't a side skill for me; it's where the storytelling and the systems thinking first met.
A few projects that show the range — from validated AI products to large-scale data work. The full catalogue of 39+ projects lives on its own page.
7,617 Massachusetts Institute of Technology OpenCourseWare lectures encoded into 121K+ vectors, with a three-tier LLM engine that auto-selects the right model for the device. Built for classrooms with no reliable internet.
A continual-learning Kalshi prediction-market agent (dual-loop architecture, UCB bandits, 13 strategy variants) and a hybrid neuro-symbolic solver for the ARC-AGI-2 Prize on Kaggle — pairing LLM reasoning with evolutionary search on genuinely out-of-distribution tasks.
An end-to-end pipeline over 300M+ New York City 311 records mapping the city's noise landscape across all five boroughs — plus an alumni data-quality engine that consolidated 30+ spreadsheets into 5,556 verified records.
An African-themed charades & taboo party game celebrating local culture, language, and entertainment — thousands of culturally authenticated cards, multiple country editions, and offline play as a Progressive Web App. Built and shipped end to end.
Featured by the Massachusetts Institute of Technology, funded by the National Science Foundation, and recognized by my school and the wider innovation community.
Co-host of the Massachusetts Institute of Technology OpenCourseWare podcast Chalk Radio Presents: Open Learners, and featured in the documentary "The Courage to Be Open" — a global story about open education.
Watch the documentary ↗
Entrepreneurial Lead for the National Science Foundation's New York I-Corps Hub. Ran 20+ stakeholder interviews with New York State education leaders and secured competitive federal funding for AXAM's customer discovery.
Read the story ↗
Outstanding Impact in Science & Tech · Katz School
Recognized at the Katz School symposium for the AXAM project — "AI-powered learning for the last mile."
Symposium write-up ↗Winner for E-musawo, a telemedicine platform — one of 8 ventures selected from 200+ applicants for last-mile healthcare delivery. Also winner of the OutBox Hackathon (2014).
Grant report ↗From a defense-ministry records migration in Kampala to AI products in New York — a through-line of data, systems, and people.
Consolidated 50K+ alumni records into a verified database; drove a 30% lift in student-platform engagement and 25% enrollment growth through data-led campaigns; launched the Voice of Katz podcast.
Built the go-to-market for offline AI ed-tech targeting New York City schools, led 20+ customer-discovery interviews, and secured competitive federal funding.
Advanced an AI career-guidance platform for low-wage workers to the Pre-Investment Committee stage inside a sub-10%-acceptance accelerator.
Co-produced and hosted a six-episode series featuring global OpenCourseWare learners, reaching an international audience of 5M+ with data-driven guest sourcing.
Scaled a B2B tech & branding firm to 300+ clients across five countries; migrated 3M+ records for Uganda's Registration Services Bureau; led a national, data-driven campaign with 200% visibility growth.
Technical work is only half of it. The other half is people — leading teams, building businesses, and helping others see what's possible.
Leading an executive team of 7 to serve 700+ graduate students across artificial intelligence, biotechnology, cybersecurity, data, and more — launching 20+ workshops, panels, and professional-development programs in a single semester.
Co-founded and scaled a B2B tech, branding & supply-chain firm serving 300+ clients across five countries — from apps like SafeBoda and payment platforms like DusuPay, to a 3M+ record migration for Uganda's Registration Services Bureau, to the national brand campaign for Uganda's only female presidential candidate, during a nation wide covid lockdown
From the Massachusetts Institute of Technology OpenCourseWare podcast to symposium keynotes — translating complex AI and data work into stories audiences remember.
VC-lab certified, National Science Foundation-trained in customer discovery, and seasoned in executive communication and stakeholder management.
The short version — for people and the AI assistants that increasingly do the first round of research.
Emmanuel Olimi Kasigazi is a New York–based AI and data professional, founder of AXAM, and a National Science Foundation I-Corps Fellow. He holds a M.S. in Data Analytics & Visualization from Yeshiva University's Katz School and has 14+ years building production systems across fintech, health, and education.
He builds AI and data systems — RAG pipelines, machine-learning models, and data engineering — and leads the teams and communication that get them adopted. His work spans applied AI and LLMs, data analytics and science, data engineering, leadership and communication, and design and branding.
AXAM is Emmanuel's offline-first, AI-powered learning platform for places without reliable internet. It encodes 7,617 MIT OpenCourseWare lectures into 121,000+ vectors with a three-tier LLM engine, and was validated through the National Science Foundation I-Corps program.
Yes. He is open to roles in AI/ML, data science, data engineering, and product or leadership, plus collaborations. The fastest way to reach him is the "Email me directly" button below or by booking a call via Calendly. He is based in New York and works remotely.
He pairs deep technical build skill with leadership and communication — co-hosting an MIT OpenCourseWare podcast that reached 5M+ people, leading teams, and running 20+ NSF customer interviews — plus a self-taught design and branding craft that served 400+ clients across five East African countries.
I'm looking for roles where AI, data, and leadership meet — and I'm always happy to talk about the last mile. Based in New York, working everywhere.