HBCU-connected. Federally validated. Community-rooted. The team building AI infrastructure the communities we serve have always deserved.
Not a grant writer. Not a program manager. A principal investigator with a 14-year documented federal research arc — and a live AI system in production as the dissertation artifact.
Chemical engineer → 20-year tenured faculty → federal PI → PhD candidate → AI system in production. Asked by Rev. Jesse Jackson to solve the technology pipeline problem. Built the Stay Safe App with teenagers. Placed students at Yale, Northwestern, NIH, and CBS News. The credential arc is above.
Raj has been an integral part of DJMP Institute for over seven years — first as a student, now as a core staff member helping shape the next generation of Chicagoland technologists. Currently pursuing a B.S. in Computer Science with an AI focus at DePaul University, Raj brings rare depth to everything he teaches: his academic training in AI directly informs the instruction he delivers in the classroom every week. For DJMP students, Raj is both instructor and living proof that the program works.
Stanley Chatman is one of Chicago's most accomplished AI and enterprise technology leaders — and one of the founding voices behind DJMP Institute's civic AI vision. A graduate of Illinois Institute of Technology with both a B.S. and M.S. in Computer Science, Stanley spent 13+ years at Avanade as Global Agile Lead before joining Microsoft as Principal Technical Program Manager in its Industry Solutions Engineering group, where he served as OpenAI and Generative AI Champion. He is also Founder and CEO of CommunityInsight.AI — an AI-powered civic intelligence platform built on the same federal API infrastructure that powers PathwayAI. As Fractional CTO, Stanley oversees PathwayAI's full technical architecture, AI agent framework, cloud infrastructure, and engineering strategy.
Python specialist responsible for building and maintaining PathwayAI's three autonomous AI agents — including Gemini API integration, LangChain pipeline development, FastAPI backend deployment, and real-time federal database API monitoring. Conducts quarterly AI model retraining and bias audit cycles to ensure PathwayAI's recommendations remain equitable and accurate.
Community-rooted organizer who recruits, trains, and supports Community Digital Navigators — the trusted residents who bridge PathwayAI's AI infrastructure and the communities whose economic futures depend on it. Leads monthly feedback sessions and quarterly advisory reviews ensuring PathwayAI evolves in response to real community needs.
Algorithmic bias detection specialist conducting quarterly AI model audits using IBM AI Fairness 360 — ensuring PathwayAI's recommendations are equitable and free from systemic biases. Develops responsible AI protocols for civic technology serving Black and Brown communities, shared openly so the field benefits from what DJMP Institute learns.
DJMP Institute is building the AI-powered civic intelligence infrastructure that marginalized urban communities have always deserved. If you have the technical depth, the community commitment, and the belief that the future belongs to everyone — we want to hear from you.
Get In TouchA board is not a rubber stamp. It is the technical credibility signal that tells funders this organization is governed by people who understand the work at the deepest level — and who hold it accountable to the communities it serves.
Erwin Gilmore holds a Ph.D. in Electrical Engineering from Howard University — one of America's most storied HBCUs — and a Post-Graduate Diploma in Machine Learning and AI from Columbia University. He spent 16 years at MITRE Corporation as Principal Information Systems Engineer before moving to Amazon Web Services, where he has served for eight years as Principal AI/ML Specialist, applying machine learning and generative AI at enterprise scale. His Howard University doctoral roots connect directly to DJMP's mission. His AWS institutional connection mirrors DJMP's own MLU partnership. He is not a figurehead — he is the technical credibility signal that funders need to see in a governance chair, holding an organization building civic AI infrastructure to the highest standard of trustworthiness the field demands.
Two HBCU-connected AI practitioners — one who built the framework, one who governs it — sitting at the same governance table building AI infrastructure for the communities those institutions were founded to serve.
What you are watching in the ticker above is not a demo.
It is the proof of concept in live production.
When you fund DJMP, you fund the team that built both.