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Building Intelligent Systems for Underserved Markets

I'm not your typical AI engineer. My path to building multi-agent systems and production-grade platforms started in Ghana, running my own business and learning what it means to build for markets where trust is scarce and stakes are high.

🌍The Journey

Before writing code that processes millions of records or architecting multi-agent AI systems, I spent ten years in Ghana and Canada as founder of CHRISLINE Prints & Advertising. I learned firsthand how technology can transform local markets—but only when it's built with deep cultural understanding and real trust architectures.

That experience taught me something most engineers never learn in a classroom: the best algorithms are useless if people don't trust them. Trust isn't a feature you add at the end—it's the foundation you build on from day one.

After earning a Master's in Entrepreneurship from the University of Nottingham, I pivoted into AI engineering, then completed my MPS in Analytics (Applied Machine Intelligence) at Northeastern University. This unconventional path gave me something rare: I understand what it takes to launch a product, govern data, AND build the production ML systems that make it work.

"My advantage isn't just technical depth—it's knowing how to bridge the gap between complex AI systems and human-centered product strategy. I've sat on both sides of the table."

🛠️What I Build

Production ML Pipelines

Self-healing ETL infrastructure processing 431M+ records daily with automated drift detection, rollback gates, CI/CD-gated retraining, and full audit-trail reproducibility aligned to SR 11-7 standards.

Document Intelligence APIs

PDF-to-SQL Pipeline converts unstructured financial documents into structured JSON using local-first OCR and LLM schema mapping — 95.4% accuracy at $0.0005 per document, designed for regulated environments.

Multi-Agent AI Systems

Building autonomous agents that reason, plan, and execute tasks. LuminaMed AI orchestrates specialized agents for medical triage and patient education — reducing radiologist workload by 40%.

Financial Data Systems

Real-time algorithmic trading system processing multi-timeframe OHLCV tick data through a 3-layer feature engineering pipeline — 2.51 Profit Factor, 1.6% max drawdown, FTMO compliant over 28 months.

Why This Work Matters

In January 2024, I lost my mother, Mrs. Felicia Pienaah. In our language (Ewe), we called her "Daavi"—which means "mum."

When I built a real estate platform to restore trust for the African diaspora, there was only one name it could have: Daavi. Because that's what the platform represents— goodness, trust, and the legacy of someone who always believed in building things that help people.

Every system I build is guided by a simple question she would have asked:"Who does this help, and how does it make their life better?"

That's why I focus on underserved markets and high-impact domains— diaspora real estate, clinical intelligence for overwhelmed radiologists, energy sector transparency for developing economies. These aren't just portfolio projects. They're solutions to real problems for real people who deserve better technology.

Education & Experience

MPS in Analytics (GPA 3.89/4.0)

Northeastern University | Applied Machine Intelligence Track

Graduated May 2026

AI Engineer & Product Strategist

ICON Leadership Institute

Empowering BIPOC youth to access competitive tech careers at Goldman Sachs, RBC, TD, Manulife, McKinsey & Company, and more.

Recognition

  • Top 4 of 25+ teams — Co.Lab DTTP Hackathon (Final Pitch Selection)
  • Selected as Peer Leader — AI-Guided Web Development Program
  • Kaggle × Google AI Agents Intensive — Verified badge (Dec 2025)

Certifications & Continuous Learning

Latest
🏆
5-Day AI Agents Intensive
Kaggle × Google Cloud

Advanced course on multi-agent systems, LangGraph, function calling, and agentic workflows with Google Gemini. Built and deployed a production 6-agent system.

December 18, 2025
🎓
Applied AI & No-Code Product Dev
DTTP Program

Excelled in program hackathon. Built production MVPs with Co.Lab, WIL, Riipen, and Atila partnerships.

August 8, 2025
☁️
Introducing Generative AI with AWS
Udacity

Responsible AI development, bias mitigation, ethical AI frameworks, and AWS AI/ML services (SageMaker, Bedrock).

July 13, 2025
🚀
AI-Guided Web Development
Co.Lab (Peer Leader)

Selected as Peer Leader. Built full-stack AI applications with FastAPI, React, and OpenAI integration.

2024
AWS Machine Learning Foundations
Amazon Web Services

Supervised learning, model evaluation, Amazon SageMaker, Polly, Rekognition, and cloud ML deployment.

2024
📊
Google Data Analytics Professional
Google

SQL, R/Python programming, data visualization, statistical analysis, and business intelligence fundamentals.

2024

Learning Trajectory: From data analytics foundations → Cloud ML infrastructure → Full-stack AI development → Advanced multi-agent systems. Each certification strategically built toward production-grade AI/ML engineering expertise.

Beyond the Code

When I'm not architecting systems, I'm deeply engaged in energy sector transparency for developing economies and HealthTech innovation. I'm driven by the challenge of building "trust architectures"—systems that use data and cryptographic verification to create transparency in high-stakes industries.

I also believe in building in public and giving back. As a Peer Leader at Co.Lab and AI Engineer at ICON, I mentor aspiring developers and help BIPOC youth access careers in tech.

My approach to AI is simple: technology should expand access, not gatekeep it. Whether it's helping patients understand their radiology reports, helping diaspora investors buy property safely, or surfacing unverified energy revenue for government accountability — I build systems that make information trustworthy.

My Product Philosophy

🎯

Impact Over Innovation

The best technology is invisible. Success is measured by lives improved, not features shipped.

🔐

Trust as Infrastructure

In regulated and emerging markets alike, trust isn't a feature—it's the foundation. Build verification systems first, polish later.

🚀

Ship, Learn, Iterate

I believe in building in public. Deploy fast, gather feedback, and let users shape the roadmap.

Currently Seeking Opportunities

Full-Time Roles

Actively seeking positions in ML Engineering, AI Engineering, and Data Engineering across Canada.

Open to opportunities at financial institutions, energy companies, HealthTech organizations, and tech-forward enterprises.

In Loving Memory

Mrs. Felicia Pienaah

(1960 - 2024)

"Daavi" — Your legacy of strength and encouragement lives in everything I build.