The People Building Your Advantage.

3X founder with $32.9M+ in delivered client impact. Spent 3 years embedded at Ampere Computing, a global semiconductor company building cloud-native Arm processors for hyperscale cloud, edge, and AI workloads. That experience taught him what it actually takes to operate inside an engineering-heavy organization.

As CEO, Shawn treats go-to-market as an engineering problem. He doesn’t run campaigns that expire — he builds systems that compound. 92% client retention across every engagement because teams don’t leave when the person leading them actually understands the work.

Abraham didn’t start in tech — but technology is where his passion always was. He cut his teeth at Genuine Technology Group, where he walked in as employee #4 and helped grow the team from 4 to 12 before acquisition by DataTel. That experience taught him something most engineers never learn from the inside: deploying technology is not always a technology problem — it’s a people problem.

Before that, he spent 7 years at AT&T managing the Intel and Nike accounts directly — enterprise-level thinking at scale. Today he serves as Chapter Lead of AI Collective Portland (70,000+ member network, Anthropic-sponsored), publishes a weekly AI newsletter, and runs technical delivery for every client engagement.

Ian is a senior AI engineer and full-stack architect with over a decade of production experience across AI/ML systems, fintech, energy, and enterprise SaaS. He was selected from 13,000 applicants for Anthropic’s Built with Claude program and is an AWS Impact Accelerator Alumni.

He has built multiple production AI platforms using AWS Bedrock Knowledge Bases, Claude inference, RAG pipelines, and multi-agent orchestration. At Homebase, he built “Instant Cash-Out” with Plaid serving 100K+ hourly workers and cut dashboard load time from 3 seconds to 500ms.

Ibrahim is a generational talent — a research-grade ML engineer who also ships production systems. At 22, he has already published peer-reviewed AI research (ICIT 2025, IEEE submission in progress), built RAG systems over 1,000+ page technical corpora, deployed LLM tool-calling pipelines on AWS Bedrock, and engineered anomaly detection models with SHAP explainability.

He ranked 35th globally in the ISIC 2024 Kaggle competition for multimodal deep learning. His project portfolio maps nearly 1:1 to enterprise AI requirements — from document RAG with semantic chunking to SHAP-based model explainability to multi-agent routing on Bedrock.