Who We Are

Martin Pieters has spent two decades not theorizing about the gap between public workforce investment and economic opportunity for marginalized communities — closing it. As the founder and Executive Director of DJMP Institute and Lead AI Architect of PathwayAI, he combines Fortune 500 engineering leadership, rigorous applied AI research, and the authentic community relationships that no outside organization can manufacture. As an AWS Machine Learning University Faculty Fellow, Amazon-HBCU AI/ML Educator Fellow, and civic platform deployment veteran partnering with organizations from grassroots nonprofits to Fortune 500 companies, Martin has documented proof that when the right AI infrastructure meets community trust, marginalized residents move from exclusion to enrollment, from unemployment to economic opportunity.

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 Artificial Intelligence focus at DePaul University, Raj brings rare and immediate depth to everything he teaches: his academic training in AI directly informs the instruction he delivers in the classroom every week. Across four program pillars — Artificial Intelligence, Robotics, Computer Programming, and Math Enrichment — Raj is the kind of instructor who can move fluidly from coaching a robotics team through a competition build to walking a student through a Python function to leading a Math Circles enrichment session. He has lived this program, competed in it, won in it, and now leads within it. His hands-on technical portfolio spans mixed reality development with Microsoft HoloLens 2 and Unity3D, applied machine learning for real business problems, and seven years of competitive robotics mentorship. For DJMP Institute students across Chicagoland, Raj is both instructor and living proof that the program works.

Leading PathwayAI's full technical architecture — overseeing the autonomous agent framework, cloud infrastructure deployment on Google Cloud Platform, federal database API integrations, and the engineering team responsible for building civic AI infrastructure that works for the communities that need it most. The CTO ensures every technical decision serves PathwayAI's equity mission, not just its engineering requirements. Responsible for Google Kubernetes Engine deployment, automated database monitoring, redundant API failover architecture, and platform security compliance across all three delivery channels.

Python specialist responsible for building and maintaining PathwayAI's three autonomous AI agents — including Gemini API integration, LangChain pipeline development for agent orchestration, FastAPI backend deployment, and real-time federal database API monitoring pipelines. Conducts quarterly AI model retraining and bias audit cycles to ensure PathwayAI's economic opportunity recommendations remain equitable, accurate, and responsive to real community needs. Ensures that equity is engineered into the platform's infrastructure from day one, not retrofitted as an afterthought.

Community-rooted organizer who recruits, trains, and supports Community Digital Navigators — the trusted residents from target neighborhoods who are the human bridge between PathwayAI's AI infrastructure and the communities whose economic futures depend on it. Leads monthly community feedback sessions and quarterly advisory reviews that force PathwayAI to evolve in response to real community needs. Manages neighborhood forum hosting across three Chicago pilot neighborhoods and coordinates community co-design sprints ensuring every major platform feature is validated by community stakeholders before launch.

Responsible for formal integration of municipal workforce development agencies into PathwayAI's deployment architecture — not as afterthoughts but as structural requirements for scaling economic opportunity. Manages onboarding, staff training, and technical support for at least two municipal agency partners during the pilot phase, ensuring platform adoption outlasts the grant period. Oversees open API documentation enabling independent government access to platform intelligence and manages the real-time government accountability dashboard providing agency partners with transparent, actionable workforce service data.

Algorithmic bias detection specialist conducting quarterly AI model audits using IBM AI Fairness 360 — ensuring that PathwayAI's economic pathway recommendations are equitable, accurate, and free from the systemic biases that have historically embedded themselves in technology systems claiming to serve marginalized populations. Develops and maintains responsible AI protocols specifically designed for civic technology serving Black and brown communities — shared openly so the field never has to rediscover what DJMP Institute learned. Every bias audit result and equity protocol is published openly as part of DJMP Institute's commitment to field-wide accountability.