Andre Graham

Toronto, ON M8X 1L5 · adregrhm@gmail.com

Objective

AI Engineer and Data Science graduate who builds secure, multi-agent LLM systems to automate decision-making and unlock data-driven value. I specialize in deploying complex AI models—from machine learning to agentic workflows—within robust, end-to-end web applications.

Key Qualifications

  • Delivered end-to-end applications using the Flask factory pattern, with back-ends powered by PostgreSQL/SQLAlchemy and key integrations for Adobe Sign & Google APIs.
  • Architected planner→solver→critic multi-agent workflows using Autogen & GPT‑4o.
  • Designed GDPR/PIPEDA-compliant systems featuring AES‑128 encryption & RBAC.
  • Hands-on ML modelling with scikit-learn, XGBoost, TensorFlow, Keras and more.

Technical Skills

Languages

Python · SQL · JavaScript · HTML

Full Stack Development

Flask · SQLAlchemy · PostgreSQL

Data & ML

Pandas · Scikit‑Learn · XGBoost · TensorFlow

DevOps / Cloud

Docker · Azure · Redis · Celery · Local Servers

Education

May 2024 – Apr 2025

Graduate Certificate – Applied AI Solutions Development

George Brown College · GPA 3.95/4.00 · Academic Excellence Award (top of class)

Sept 2019 – May 2024

BSc – Statistics & Economics (Distinction)

University of Toronto · GPA 3.39/4.00

Professional Experience

May 2025 – Present

AI Engineer (Contract) · Kinectrics

  • Architected multi‑agent AI platform (Flask, Autogen, GPT‑4o) enabling increased producivity in reporting.
  • Worked on creating minimum viable products used to pitch new project ideas.
  • Dynamically adapted to constantly changing products.
Apr 2025 – Present

Automation Consultant (Contract) · Summerhill Capital Management

  • Lead developer of ClientVault: Flask‑PostgreSQL platform automating KYC onboarding & compliance reminders.
  • Integrated AES‑128 encryption, BitLocker‑backed Docker volumes & VPN‑gated access (GDPR/PIPEDA).
  • Built Celery scheduler emailing Excel & HTML digests, removing the necessity for all manual checks.
  • Introduced diff‑logging utility for full audit trails.
Dec 2024 – Apr 2025

AI Engineer – Student · Kinectrics

  • Prototyped multi-agent models leveraging Autogen and OpenAI's API to develop MVP used to sell AI based enhacment to productivity.
May 2023 – Aug 2023

Senior Instructor · University of Toronto

May 2022 – Aug 2022

Camp Instructor · University of Toronto

May 2021 – Aug 2021

Painting & Staining · Student Works

Highlighted Projects

ClientVault

Secure client‑data vault with RBAC, AES‑128 encryption & Celery reminders.

Multi-Agent Systems

Planner‑solver‑critic LLM agents orchestrated via Autogen; 3× faster reports.

Interests

Soccer · Basketball · Guitar · AI Research

Let's Collaborate