Janan Al-Hassani

Executive Engineering Portfolio

Janan Al-Hassani

Engineering Leader · Enterprise Modernization, Cloud Architecture & AI Platforms

MBA-trained engineering leader with 20+ years modernizing enterprise software across financial services, healthcare, SaaS, and AI-driven platforms.

View experienceDownload resume

Executive profile

Engineering leader with an MBA and 20+ years of experience modernizing enterprise software across financial services, healthcare, SaaS, and AI-driven platforms. Proven record of building and leading engineering teams, delivering mission-critical cloud platforms, and driving measurable improvements in quality, reliability, and business outcomes. Experienced hiring, mentoring, and developing high-performing software engineers while partnering with executives and cross-functional stakeholders.

Leadership principles

  1. 01

    Build engineering teams before building software.

    Capacity, clarity, and culture come first—durable delivery follows from people and operating rhythm.

  2. 02

    Modernize continuously rather than rewrite unnecessarily.

    Prefer incremental modernization that reduces risk while preserving business continuity.

  3. 03

    Raise engineering standards through mentoring, automation, and shared ownership.

    Quality scales when coaching, tooling, and accountability are shared across the team.

  4. 04

    Deliver business value through technical excellence.

    Architecture and craftsmanship matter when they improve outcomes leaders can measure.

Selected career achievements

  • Cut a critical weekly batch process runtime by 67%—from approximately 4.5 hours to 1.5 hours—while introducing a dead-letter queue to prevent silent failures and materially improve operational reliability.
  • Redesigned and rebuilt a rules engine supporting 200+ human-readable YAML rules, enabling scalable analyst assignment across 1,600 analysts and more than 21,000 ratable entities.
  • Increased automated test coverage from approximately 5% to 95%, resolved all outstanding SonarQube issues, and added end-to-end DataDog tracing to strengthen release confidence and production observability.
  • Built an automated algorithmic-trading platform comprising approximately 10,000 lines of code and three machine-learning models, independently designing the architecture and evolving it over four years to execute trades automatically.
  • Grew a healthcare software team from 4 to 8 engineers and co-designed an event-driven AWS architecture that successfully supported a production pilot across two clinics, establishing the foundation for broader rollout.
  • Built and led five software-development teams, including two created from the ground up, providing technical direction, delivery leadership, performance management, and career development.
  • Interviewed over 100 engineering candidates, mentored over a dozen engineers, recommended several successful promotions, and guided a few formal performance-improvement processes.
  • Combined 20 years of software-engineering and leadership experience with entrepreneurial execution, including co-founding and operating a customer-facing business and taking complex software products from original concept through production delivery.

Case studies

Modernizing a High-Scale Analyst Assignment Platform

Rebuilt a financial-services rules engine and weekly batch pipeline to improve maintainability, speed, and operational reliability.

  • — 67% faster weekly batch (4.5h → 1.5h)
  • — 200+ YAML rules across 1,600 analysts and 21,000+ entities
  • — Test coverage raised from ~5% to 95%
Read case study →

Scaling a Healthcare Platform from Team Formation to Production Pilot

Grew the engineering team and co-designed an event-driven AWS architecture that reached a two-clinic production pilot.

  • — Engineering team grown from 4 to 8
  • — Production pilot across two clinics
  • — Event-driven AWS foundation for broader rollout
Read case study →

Building an Automated Machine-Learning Trading Platform

Independently architected and evolved a ~10,000-line automated trading platform integrating three machine-learning models.

  • — ~10,000 lines of production-oriented code
  • — Three ML models in an automated execution pipeline
  • — Concept to mature system over four years
Read case study →

Technical expertise

Cloud & Architecture

  • AWS cloud architecture
  • Event-driven and distributed systems
  • Amazon SQS, Lambda, ECS and EKS
  • Kubernetes and containerized applications
  • Microservices and API design
  • Rules-engine and workflow architecture
  • Dead-letter queues and failure-recovery patterns
  • Relational and NoSQL data architecture
  • System modernization and performance optimization

Languages & Application Development

  • Python
  • Java
  • C++
  • TypeScript and JavaScript
  • React and Next.js
  • Flask
  • REST APIs and backend services
  • YAML-based configuration and business-rule systems
  • Full-stack application development
  • Automated and algorithmic trading systems
  • Machine-learning model integration

Data & Databases

  • Oracle Database
  • MySQL
  • SQLite
  • MongoDB Atlas
  • SQL
  • Large-scale data processing
  • Data validation and transformation

Quality, DevOps & Observability

  • CI/CD
  • Automated unit and integration testing
  • SonarQube
  • DataDog tracing and observability
  • Production monitoring and troubleshooting
  • Git and Bitbucket
  • GitHub and GitHub Copilot
  • Code-quality improvement
  • Performance optimization
  • Resilience and failure handling

Engineering Leadership & Delivery

  • Software engineering leadership
  • Technical strategy and architectural direction
  • Team formation and scaling
  • Engineering hiring and interviewing
  • Mentoring and career development
  • Performance reviews and performance improvement
  • Agile software delivery
  • Cross-functional collaboration
  • Stakeholder and requirements management
  • Production delivery and operational ownership
  • Technical debt reduction
  • Engineering standards and best practices

Specialized Domains

  • Financial services and credit ratings
  • Analyst assignment and compliance workflows
  • Algorithmic trading
  • Machine learning–enabled applications
  • Healthcare technology
  • Clinical workflow platforms
  • Entrepreneurship and product development

Education

  • MBA, Finance

    McMaster University, DeGroote School of Business

    2013 – 2017 · Burlington, Ontario

  • BASc, Electrical Engineering

    University of Waterloo

    1996 – 2001 · Waterloo, Ontario

Contact

Open to Engineering Manager, Director of Engineering, Principal Engineer, and Head of Engineering conversations.

janan.alhassani@gmail.comLinkedInGitHubDownload resume