Software engineer at TD Bank, building agentic automation.

I'm Mondher Ilyes Izemrane. I build production software across AI, full-stack systems, and automation—most recently at TD Bank and on the Ontario Line with SYSTRA Canada.

CurrentTD BankSoftware Engineering Intern · May 2026—Present
RecentSYSTRA CanadaSystems Assurance Intern · Ontario Line
MondherToronto
Mondher Ilyes Izemrane
Computer ScienceUniversity of Toronto

Experience

Production engineering across banking, transit, hospitality analytics, and career technology.

01

TD Bank

Software Engineering Intern

Agentic automation · Quality engineering
  • Built a human-in-the-loop agentic automation that reduced onboarding support load and service-request preparation time, reaching finalist status in an internal innovation challenge.
  • Cut test-case generation time by 50%+ across 7+ legacy processes while supporting migration to a new RPA application.
  • Engineered source-artifact inconsistency detection to accelerate subject-matter expert and business analyst review.
02

SYSTRA Canada

Systems Assurance Intern · Ontario Line

LLM assurance · Document intelligence
  • Designed and deployed a production LLM assurance platform that reduced manual review across 800+ safety requirements.
  • Kept token usage to 60% of the allocated budget while processing CAD-heavy evidence packages exceeding 1,000 pages per requirement.
  • Enabled consistent review of thousands of designer-submitted artifacts across multiple contracts and seven Ontario Line South Civil stations.
03

Peebles Group

AI Software Engineering Volunteer

Data agents · Hospitality analytics
  • Built an analytics platform that reduced hospitality demand-forecasting time by 80%.
  • Implemented a reusable AI agent scraper to collect, structure, and validate event data from five sources.
  • Introduced real-time anomaly alerts that removed the need for manual demand analysis.
04

Nodalli

Full-Stack Software Engineering Intern

Production Python · Event-driven systems
  • Deployed Python endpoints that automated career coaching for 200+ users, saving more than five hours per user each week.
  • Built a fault-tolerant email automation system with Celery and Redis for onboarding and retention flows.
  • Improved platform load capacity by 30% while preventing user-facing crashes before launch.

Earlier experience and leadership

Work that shaped how I communicate technical ideas, lead rooms, and turn early concepts into usable systems.

DeepPixel

Machine Learning Consultant

Developed an educational generative-AI product for more than 10,000 children, cut infrastructure and inference costs by 90%, and translated stakeholder needs into an implementation-ready technical proposal.

University of Toronto

Computer Science Transition Coach

Mentored 12+ first-year computer science students through weekly academic strategy sessions and used program feedback to strengthen retention-focused coaching materials.

BACSA

Technology Director

Designed BioPython and BLAST workshops for 50+ students and coordinated the technical delivery of bioinformatics events, panels, and coding initiatives.

Selected system

One independent product, built across the entire stack.

FightSight

Independent full-stack engineer · 2024—Now

A combat-sports prediction platform engineered from raw fighter history to authenticated, production-grade decisions.

Visit FightSight.dev
Model67% accuracy15% above baseline
Efficiency47% cost reductionrequest-level caching
Delivery300+ predictions50+ provisioned users
ReactTypeScriptPythonDockerClerkSupabasePostgreSQL

Products built beyond the prototype.

Independent systems shaped across product strategy, architecture, data, interface design, and production delivery.

01 · Product

MOOP

Full-stack health intelligence platform

A mobile wellness system that turns wearable data into clear, explainable signals across readiness, recovery, strain, sleep, and long-term health.

  • Built an Expo and Fastify platform that ingests real Google Health data through backend-managed OAuth, normalizes wearable metrics, and recomputes user scores.
  • Designed deterministic readiness, recovery, strain, stress-pattern, and experimental healthspan models using chronological backfills and a 42-day signal window.
  • Created interactive 7, 30, and 90-day trend views with scrubbing, baselines, averages, and signed changes so users can understand patterns—not just daily numbers.
ExpoReact NativeTypeScriptFastifyPrismaPostgreSQLGoogle Health
02 · Product

SA’IDNI

Multilingual home-services marketplace

A three-sided marketplace designed for how clients, service providers, and operations teams actually coordinate home services in Morocco.

  • Engineered a role-gated Expo application covering phone onboarding, service discovery, scheduled bookings, provider offers, KYC gates, and earnings workflows.
  • Built marketplace services with Fastify, Prisma, PostgreSQL, Redis, and BullMQ, including first-accept-wins matching and operations tooling.
  • Designed for Moroccan use with Darija, French, and Arabic localization, RTL support, consent enforcement, privacy requests, location permissions, and reduced-motion-aware interactions.
ExpoReact NativeFastifyPrismaPostgreSQLRedisBullMQi18next

More products and client work

Earlier builds spanning collaborative media, generative AI, and client-led web development.

Loggit

Founder · Product design and engineering

Designed a private event photo-sharing product that replaces scattered group chats and cloud folders with organized feeds, collaborative uploads, and a trust-first experience.

Independent product

HeriTrace

AI ancestry experience

Built a responsive React experience that predicts surname origins, generates culturally themed imagery, and uses location context to make heritage results more relevant.

Client Meal Generator

Freelance full-stack development

Turned client discovery into three working prototypes, then shipped live search and a normalized SQL data model for fast meal-plan creation and editing.

Engineering breadth, grounded in outcomes.

I work best where the system is ambiguous, the evidence is messy, and reliability matters. My role spans discovery, architecture, implementation, and the final production details that make software useful.

Applied AI systems

Agentic workflows, LLM evaluation, retrieval pipelines, human-in-the-loop review

Full-stack products

React, Next.js, Node.js, Express, Flask, Angular, Vue, PostgreSQL

ML & data

Python, TensorFlow, Pandas, NumPy, scikit-learn, feature engineering

Production infrastructure

AWS, Google Cloud, Docker, Redis, Celery, MongoDB, observability

Leadership

Tech Lead, Google Developer Group

Leading hands-on workshops in scalable cloud architecture, system design, and AI-enabled development at the University of Toronto.

Education

Honours BSc, Computer Science

University of Toronto · Dean's List Scholar · 3.77/4.0 · Expected June 2027

Have a hard system worth building?

Let's make it work.

Mondher.izemrane@mail.utoronto.ca