Proof of Work

The Challenge

Building a real-time auction engine is one of the harder engineering problems in marketplace software — prices must drop on precise schedules, bids must be validated and ranked instantly, and the system must handle concurrent bidders without race conditions or lost bids. On top of that, real money moves through the platform: winning bidders pay a deposit, sellers get paid out net of platform fees, and every payment event has to stay in sync with the auction outcome — even when two bids land in the same millisecond.

What I Did

• →Designing and building the core timed reverse auction engine — price drop scheduling, bid validation, and winner determination logic
• →Building seller-facing workflows for both auction listings and instant offer requests with condition verification steps
• →Developing buyer-facing bidding flows with real-time price updates and instant buy functionality
• →Architecting the backend API to support concurrent bidding without race conditions using database-level locking strategies
• →Building the payment flow — buyer deposit capture on winning bid, seller payout calculation net of the ~8–9% + VAT platform fee, and refund handling when a sale falls through
• →Implementing idempotent, webhook-driven payment reconciliation so payment status always matches the auction outcome, even under concurrent bidding
• →Setting up vehicle listing syndication to external platforms (AutoTrader, MOTORS)
• →Building admin tooling for auction management, seller fee calculation (~8–9% + VAT), payout oversight, and bid oversight

The Challenge

Jaspi's backend needed to handle AI screening pipelines, async chat and video interviews, real-time candidate scoring, and seamless integrations — all reliably at production scale. The system had to be production-ready from day one with no room for downtime during live hiring workflows.

What I Did

• →Designed and maintained backend services powering AI-driven hiring flows including job post generation, candidate sourcing, and screening pipelines
• →Built secure, scalable REST APIs supporting async video interviews, AI fit scoring, and real-time candidate ranking
• →Architected cloud infrastructure on AWS with Docker-based deployments and CI/CD pipelines for zero-downtime releases
• →Integrated AI/ML services into the hiring workflow, collaborating closely with product and ML teams
• →Improved infrastructure reliability and reduced operational risk through monitoring, alerting, and automated recovery

The Challenge

Bookt's production system was experiencing reliability issues and performance bottlenecks that directly impacted salon owners' daily operations. The platform needed stabilization, faster response times, and a robust real-time booking infrastructure — all while maintaining the 'simple and free' promise to its users.

What I Did

• →Stabilized the production backend by identifying and resolving reliability bottlenecks causing downtime for active salons
• →Optimized database queries and implemented Redis caching strategies to significantly improve API response times
• →Rebuilt booking workflows with real-time calendar synchronization and conflict detection
• →Implemented automated appointment reminder system to reduce salon no-shows
• →Containerized the application with Docker and established CI/CD pipelines for reliable, repeatable deployments
• →Set up monitoring and alerting to catch issues before they impact end users

The Challenge

Compliance platforms operate in a zero-error environment — they handle highly sensitive organizational data across multiple privacy jurisdictions and regulatory frameworks. Consentio's backend needed to enforce strict data handling, maintain complete audit trails, support multi-language workflows, and remain correct under constant regulatory scrutiny.

What I Did

• →Built and maintained backend services powering compliance workflows including assessment registers, audit trails, and remediation tracking
• →Implemented secure handling of sensitive regulatory data with strict access controls and data segregation
• →Developed Subject Access Request (SAR) automation and data inventory discovery features
• →Ensured full auditability of all compliance-related actions with tamper-evident logging
• →Built multi-framework support enabling organizations to track GDPR, HIPAA, SOC 2, and 15+ other regulations simultaneously
• →Maintained correctness and reliability standards appropriate for enterprise compliance operations

The Challenge

Managing condo communities involves multiple stakeholders — unit owners, residents, boards, vendors, and managers — each with different access needs and workflows. The platform had to handle real-time financial data connected to bank accounts, a 24/7 resident portal, vendor coordination across thousands of providers, and virtual meeting capabilities without breaking under the operational complexity.

What I Did

• →Developed backend services supporting property management workflows including resident portal, board communications, and vendor coordination
• →Built scalable APIs for managing properties, tenants, financial records, and operational tasks across BC and Alberta
• →Implemented real-time financial data integration and automated accounting workflows
• →Built virtual meeting and voting infrastructure for large condo communities (200+ members)
• →Focused on system reliability and long-term maintainability to support Condo Bridge's 98% customer retention
• →Delivered clean data flows for both administrative and resident-facing operations