Ajanee Igharo

Technical depth.Human context.

Applied AI for knowledge work.

I build and evaluate agent systems for real organizational workflows.

Experience & perspective

Real problems.
Useful work.

Program execution, technical implementation, and cross-functional collaboration to bring applied AI into real workflows.

AI Programs & Operations Coordinator

Paul English Applied Artificial Intelligence Institute, UMass Boston

  • Coordinate applied AI programs and workflows across faculty, students, speakers, and external partners.
  • Led Summer 2026 AI workshop operations for career advisors, coordinating speakers, participant resources, and delivery.
  • Support the Applied AI Microcredential Program; co-develop Module 2 with Rebaz Kamal, including Python, OpenRouter, and Google Colab agent exercises.

Small Business Development Intern

Massachusetts Executive Office of Economic Development

  • Analyzed market trends, financial information, and business models to support small-business growth planning, resource access, job creation, retention, and capital investment.
  • Collaborated with cross-functional teams supporting statewide business incentive and development programs and translated program resources into actionable guidance for businesses.

Venture Capital Extern

HP Tech Ventures

  • Researched AI-enabled productivity tools, markets, and competitors.
  • Sourced a startup aligned with the investment thesis, conducted early-stage diligence, and prepared an investment summary.

Financial Consulting & Analytics Intern

Girls’ LEAP

  • Reviewed QuickBooks and treasury information and translated financial records into clearer decision-support information.

Additional Girls’ LEAP roles:

Project Manager | May 2022 to Mar 2026

Board Member | Sep 2021 to Sep 2022

Lead Mentor | May 2018 to Apr 2022

Selected technical work

Built with
intention.

Agent systems, reproducible evaluation, and clear boundaries. Explore the evidence behind the work.

Agentic Analytics Lab

Flagship portfolio project | Grounded analytics and deterministic evaluation

  • Built a Python analytics-agent baseline over synthetic data with dataset-scoped, read-only ClickHouse access, semantic metric guards, and explicit SQL and resource safeguards.
  • Created a frozen Q1 to Q6 benchmark, deterministic scoring, failure diagnostics, and Python 3.11/3.12 CI; the October 5, 2026 run passed 289 tests.

Tools: Python, SQL, ClickHouse, GitHub Actions, CodeQL, Ollama

AI Workflow Reliability Console (AWRC)

Local evidence application | Project owner; agent-assisted development

  • Built a local workspace to import and inspect workflow evidence, compare compatible records or explain refusals, and export JSON/Markdown reports.
  • Kept imported claims separate from independent verification; the reviewed local candidate records 87 Python test methods.

Tools: Python, SQLite, plain JavaScript

Autonomous Repository Maintenance System (ARMS)

Supervised offline prototype | Project owner; agent-assisted development

  • Built a bounded repair workbench with protected checks and preserved evidence for one synthetic Python retry-delay defect: 6/18 baseline to 18/18 candidate passes.
  • Kept historical review separate from a fresh pending-review replay; no live repository pilot or autonomous maintenance service is claimed.

Tools: Python, SQLite, Git

Gateway: Agentic Commerce Assurance

Team hackathon prototype | Glasswing Ventures Hackathon

  • Contributed UX/UI to a merchant-facing agent-assurance prototype, helping shape workflows for agent tests, replay evidence, findings, recommendations, and retesting.
  • Implemented and tested auth/session protection in a separate, unmerged pull request using TypeScript, Next.js, React, Playwright, and build/typecheck validation.

Tools: Next.js, React, TypeScript, Playwright

Education

Building a strong
foundation.

Psychology, business, and applied AI.

Master of Business Administration

University of Massachusetts Boston

Selected coursework: AI Industry Applications Lab, Business Intelligence, Statistical Analysis for Managers

Bachelor of Arts, Psychology

University of Massachusetts Boston

Technical skills

Tools with
purpose.

The technologies and methods behind my work.

Programming & Web
Python, SQL, TypeScript, HTML/CSS, React, Next.js
Agent Systems
MCP, tool invocation, multi-step workflows, structured outputs, deterministic guardrails, human-in-the-loop controls
Data / Infrastructure
ClickHouse, Docker, Git/GitHub, Ollama
Testing / Quality
Python testing, Playwright, GitHub Actions, CodeQL, regression testing, reproducibility, failure analysis
Workflow Systems
Notion, Google Drive, Asana

Writing & speaking

Ideas, made
useful.

Sharing practical AI knowledge through writing, teaching, and presentations.

Leadership & recognition

Showing up.
Following through.

Service, collaboration, and continued learning.

  • MemberPaul English Applied AI Institute Student Advisory Council
  • 3rd PlacePaul English Applied AI Institute Hackathon | 2024
  • AI Workshop LeadershipMulti-week Summer 2026 series for career advisors