About

I am a software engineer passionate about applying AI to solve real-world business problems. My work sits at the intersection of engineering, product development, and customer needs, taking complex workflows, understanding the underlying challenges, and building practical solutions that deliver measurable impact.

Throughout my experience, I have designed and developed full-stack applications, automated business processes, and leveraged large language models to improve efficiency and decision-making. I enjoy working directly with stakeholders to understand their goals, rapidly prototype solutions, and iterate toward production-ready systems.

I am particularly interested in the emerging field of Applied AI, where success requires more than model performance alone. The most valuable AI systems are those that integrate seamlessly into existing workflows, provide reliable outcomes, and create meaningful value for users. My focus is on bridging that gap between cutting-edge AI capabilities and practical deployment.

My technical background includes software engineering, AI-powered application development, cloud technologies, data analysis, and system design. Beyond implementation, I enjoy identifying repeatable patterns, improving processes, and turning successful solutions into scalable products.

I'm excited by opportunities to work on frontier AI technologies, collaborate with customers and cross-functional teams, and help organizations unlock new possibilities through intelligent systems.

Areas of interest: Applied AI, Agentic Systems, LLM Applications, AI Product Development, Full-Stack Engineering, Backend Engineering, Workflow Automation, Data Analytics, Customer-Facing Engineering, and Enterprise AI Adoption.

Experience

Jan 2026 — Apr 2026

Whitecap Canada

Collaborated with Whitecap Canada to develop an AI-assisted proposal generation solution for automating customer proposal creation. Designed a Retrieval-Augmented Generation (RAG) architecture using vector search and large language models to leverage historical proposal data. Improved proposal generation performance from approximately 20 minutes to under 30 seconds, reducing processing time by over 97%. Worked directly with industry mentors and stakeholders through weekly reviews, requirements gathering sessions, and project deliverables.

  • Angular.js
  • Application Programming Interfaces (API)
  • Django
  • Full-Stack Development
  • Llama Index
  • Microsoft Azure
  • Microsoft Entra ID
  • OpenAI API
  • Python
  • Retrieval-Augmented Generation (RAG)
  • Semantic Search
  • SQL
  • Vector Databases

Projects

2026

Iuungo | Psychoeducation & Wellness

Live
Web application

luungo is a personalized self-development and wellbeing platform that helps people understand themselves better, relate better to others, and stress less. Built on Django with Wagtail as the content management layer

  • Alpine.js
  • Continuous Integration and Continuous Delivery (CI/CD)
  • Django
  • Full-Stack Development
  • HTMX
  • PostgreSQL
  • Python
  • Redis
  • REST APIs
  • Software as a Service (SaaS)
  • SQL
  • Stripe
  • Wagtail CMS

2025

Airline Database

Live
Database Design

A comprehensive PostgreSQL database schema that models the full lifecycle of commercial flight operations from global airport networks and flight scheduling to crew management, aircraft certification, and the complete passenger booking journey. Designed as a production-ready backend foundation for airlines, airports, and travel platforms, with business rules enforced directly at the database layer.

  • Back-End Web Development
  • Custom Software
  • Database Design
  • Git
  • GitHub
  • PostgreSQL
  • Requirements Gathering
  • SQL