Senior Software Engineer
$ echo $IMPACT_METRICS
$ cat tech-stack.json
β‘ Core Technologies
π§ Supporting Stack
βοΈ Infrastructure & DevOps
$ cat README.md
Drop Delivery was the leading cannabis delivery management SaaS platform β offering white-label ordering apps, inventory management, dispatch technology, driver logistics, and loyalty programs.
During my tenure, the company experienced explosive growth: expanding to 6 states and 3 Canadian provinces, onboarding 65 clients, and achieving 354% year-over-year growth while processing over $30M in orders.
My role focused on backend performance and reliability for high-load e-commerce and logistics workflows.
$ git log --oneline responsibilities/
$ grep -r "achievement" ./
$ cat CHALLENGES.md
High-Load Delivery Tracking
Real-time delivery tracking for thousands of concurrent orders created database bottlenecks and slow API responses.
Optimized SQL queries with proper indexing, implemented read replicas for tracking queries, and added Redis caching for frequently accessed order status data.
Multi-State Compliance
Cannabis regulations vary significantly by state, requiring different business logic for each jurisdiction.
Designed a configuration-driven compliance system that abstracted state-specific rules, allowing rapid expansion to new markets without code changes.
$ cat details.md
Cannabis Tech: A Unique Challenge
Building software for the cannabis industry presents unique challenges:
- Regulatory complexity across jurisdictions
- High compliance requirements for tracking and reporting
- Rapid market growth requiring scalable systems
- Real-time logistics for delivery tracking
Growth Engineering
Supporting 354% growth meant constant optimization:
- Database scaling with read replicas and caching
- API performance tuning for mobile apps
- Infrastructure automation for rapid deployments
- Monitoring to catch issues before customers did
This experience taught me how to scale systems under real business pressure.
Related
Technologies Used: PHP, React, AWS, Redis, PostgreSQL