01Venture
WorkSphereLife
Co-Founder & CEO
A job-matching platform that helps people find work faster. Built to reduce friction in hiring. Grown to 20,000+ users entirely through organic reach.
20,000+ users servedVisit site
Founder · Engineer · Researcher
Building and operating systems that hold up when it matters.
Scroll
01The operator
Tech entrepreneur. Engineering leader. Researcher. Building infrastructure for Africa.
I run WorkSphereLife, where we've served over 20,000 job seekers without paid acquisition. I'm also building LaterList AI—a save-now system for people who move fast and think deeply, now in beta. Before founding these companies, I led engineering and enterprise support at Dynamo AI, Microsoft, CVS Health, and Amazon. My work spans technology operations, applied AI, and long-term institution building—and I'm preparing for doctoral research on how AI platforms shape labor market outcomes.
Faith-rooted. Execution-focused.
0+
Job seekers served by WorkSphereLife
0
Ventures founded and operating
0
Continents led teams across
0
Enterprises: Amazon, CVS Health, Microsoft, Dynamo AI
Co-Founder & CEO, WorkSphereLifeFounder & CEO, LaterList AI20,000+ users servedEx-Microsoft, Dynamo AIPhD track (Labor Economics + AI)
Organizations & ventures
02About
I've spent my career where systems need to stay up and decisions carry weight. Now I build companies that reduce friction for real people, and institutions in Ghana designed to outlast me.
I've spent most of my career in environments where systems need to stay up and decisions carry weight. At Amazon and CVS Health, I learned what operational discipline looks like at scale. At Microsoft, I led enterprise support through high-stakes incidents. At Dynamo AI, I ran global engineering and support teams shipping AI safety products.
In 2025, I co-founded WorkSphereLife to reduce friction in job search. The platform has since served over 20,000 people without paid acquisition. That experience deepened my research interest in how AI-driven job platforms shape labor market transitions and occupational choice.
Alongside WorkSphereLife, I’m building LaterList AI—a save-now system designed for people who move fast and think deeply. We recently launched the beta, built to help users capture links, notes, images, and ideas instantly, then return to them with clarity and intention. It’s a different kind of product, but it comes from the same instinct: reduce friction in how people navigate information.
I'm also building Doyen Syndicate Foundation, starting with clean water infrastructure in Ghana. The work in Africa is not a side project. It's a long-term commitment to building durable systems where they're needed most.
Research
How AI job-matching platforms shape labor-market transitions.
I study information frictions, occupational choice, and entrepreneurship using panel data and quasi-experimental methods.
Broader interests: entrepreneurial ecosystems, hybrid ventures, digital infrastructure in emerging markets.
Preparing for doctoral applications
03Ventures
Companies and institutions I've founded and operate — each one built to reduce friction where it matters most.
02Venture
LaterList AI
Founder & CEO
A save-now system for people who move fast and think deeply. Built to capture links, notes, images, and ideas instantly—then return to them with clarity and intention. The beta is live.
Beta now liveVisit site
03Mission
Doyen Syndicate Foundation
Founder & President
A nonprofit focused on building foundational infrastructure in Ghana, starting with clean water access. Designed to earn trust through execution, then expand into education and financial services.
Infrastructure for GhanaVisit site
04Journey
The work that shaped how I think about systems, leadership, and long-term building.
Chapter 01 · Amazon · CVS Health
Operations at scale
I started in technical support and operations at Amazon and CVS Health, where I learned how large systems actually run. Not the architecture diagrams, but the reality of keeping things working when something breaks at 2am.
Chapter 02 · Microsoft
Enterprise leadership
At Microsoft, I moved into enterprise support leadership. I coached teams through critical incidents and helped customers recover from system failures. That work taught me how to stay calm when stakes are high.
Chapter 03 · Dynamo AI
AI safety & global teams
Dynamo AI gave me my first leadership role spanning engineering and support across multiple continents. We shipped AI safety tools to enterprises that needed to deploy models responsibly.
Chapter 04 · WorkSphereLife · LaterList AI
Building as a founder
WorkSphereLife came out of watching people struggle to find work. We built a platform that’s now served over 20,000 job seekers. That same instinct to reduce friction led to LaterList AI, a save-now system now in beta. Running both has given me a founder’s understanding of how products survive contact with real users.
Chapter 05 · Labor economics + AI
Research direction
My research examines how AI-based job-matching platforms affect transitions into employment and entrepreneurship. I study reductions in information frictions using panel data and quasi-experimental methods. This work informs both my product decisions and my doctoral preparation.
Chapter 06 · Doyen Syndicate Foundation
The Africa long game
The Africa work is the long game. Through Doyen Syndicate Foundation, I'm building infrastructure in Ghana, starting with clean water. The goal is durable systems that earn trust and compound over decades.
05Africa
Africa doesn't need more slogans or pilot programs. It needs infrastructure that works and people committed to operating it over decades. That's the premise behind Doyen Syndicate Foundation.
We're starting with clean water in Ghana because water is foundational. You can't build education systems or financial services on top of communities that lack basic infrastructure. Clean water earns trust. Trust enables everything else.
The approach is operator-first: work with local leaders, build what's actually needed, and stay accountable for outcomes. AI and automation come later, as tools to extend capacity, not as the starting point.
01Infrastructure first
02Local partnership
03Long-term commitment
04Earned trust
Dallas → Accra · clean water across Ghana
06Field report
On my recent trip to Ghana, I met with the General Secretary of The Church of Pentecost to continue our discussions as we work toward a long-term partnership, bringing clean water, living water, and lasting impact to communities affected by illegal mining across Ghana.
Doyen Syndicate Foundation builds durable clean water infrastructure in Ghana, starting where the need is greatest.
07On the ground
Field work, outreach and messages from Doyen Syndicate Foundation — and conversations from WorkSphereLife.
Venture · WorkSphereLife
Founder Conversation
Product Overview
08In action
Building in public.
Moments from WorkSphereLife, Doyen Syndicate Foundation, and the people who make the work possible.
Event materials
09Track record
I've worked in environments where the systems needed to stay up and decisions had real consequences. That shaped how I approach building and operating anything.
Enterprise & operations
- Led engineering and support teams across North America, Europe, and Africa
- Operated production systems at Microsoft and Dynamo AI with enterprise-grade reliability requirements
- Owned incident response and post-incident analysis for high-impact operational events
- Worked at the intersection of engineering, product, and customer success
Scale
20k+
People served by WorkSphereLife — without paid acquisition.
AI systems
- Deployed AI-powered workflows in production customer environments
- Worked on responsible AI evaluation and model behavior analysis
- Communicated technical system behavior to technical and non-technical stakeholders
At Dynamo AI, I led teams shipping AI safety tools to enterprises. That work informed how I think about deploying AI responsibly.
Founder experience
Running WorkSphereLife taught me things you can't learn as an employee. When you're responsible for a platform serving 20,000+ people, you experience constraints and tradeoffs directly.
- How systems scale (and where they break)
- What users actually need versus what they say they need
- The operational reality of running software in production
Research direction
How reducing information frictions changes opportunity access and occupational choice.
Talks
Available on request
Topics include AI systems, labor markets, and infrastructure in emerging markets.
Writing
In progress
Research and essays on AI platforms, entrepreneurship, and development.
Interviews
Available on request
Open to conversations about my work in the right contexts.