Sarun (Joe)
Teeravechyan
Digital Leader & AI Systems Builder
Senior digital leader delivering complex, high-visibility programs across North America — now focused on applying AI to transform how systems are designed, operated, and scaled.
De-identified work. Details available upon request.
Expertise
What I Do
Execution at Scale
I lead complex digital programs across product, engineering, and operations — delivering under real-world constraints.
Systems Thinking
I design workflows and systems that improve clarity, reduce friction, and scale execution.
AI Application
I build and experiment with AI tools to enhance decision-making and operational efficiency.
Case Studies
Selected Work
De-identified case studies representing large-scale digital execution across national North American programs. These examples highlight execution under complexity, transformation through technology, and real-time operational leadership.
Case Study
Scaling a National Digital Promotion with First-Time Ticketless Architecture
Led digital execution for a high-visibility national promotional campaign for a global quick-service restaurant brand, introducing a first-time ticketless participation system across the U.S.
Challenge
- •Transition from physical to fully digital participation mechanics
- •Expected engagement at millions of users nationwide
- •Real-time system reliability under peak load
- •Coordination across 10+ cross-functional stakeholders
- •Tight timelines with high executive visibility
What I Did
- •Established a standardized delivery framework across product, engineering, QA, and operations
- •Led partner and client testing teams through a multi-phased testing approach
- •Built clear cross-functional communication and escalation pathways
- •Partnered with engineering to proactively identify and mitigate system risks
Execution at scale is driven not by individual components, but by how effectively the system is coordinated end-to-end.
Additional details available upon request.
Case Study
Transforming Prize Fulfillment from Manual Checks to Real-Time Digital Payouts
Led the transition of a national promotional campaign from manual, check-based prize fulfillment to a real-time digital payout system, integrating directly with financial partners through secure APIs.
Challenge
- •Shift from legacy fulfillment (physical checks) to real-time digital prize distribution
- •Because a partner sandbox was not available, the team had to design a controlled, low-risk approach to validate the integration in a production-like environment
- •High security, validation, and compliance requirements
- •New capability for all parties involved, increasing uncertainty and complexity
What I Did
- •Led the agency team through end-to-end implementation, navigating technical and operational risks
- •Drove alignment across client, engineering, and financial partners to identify and address system vulnerabilities early
- •Established security guardrails and validation controls before enabling integration
- •Implemented real-time monitoring and fail-safe mechanisms to detect and respond to issues quickly
- •Facilitated continuous risk assessment and mitigation throughout development and launch
Scaling new capabilities requires not just technical execution, but disciplined risk management, visibility, and control.
Additional details available upon request.
Case Study
Scaling a Live Promotion Under Extreme Demand and Fraud Pressure
Led execution for a national promotional campaign experiencing significantly higher-than-expected engagement, requiring real-time scaling of code inventory and fraud mitigation while the program was live.
Challenge
- •Original forecasts were exceeded by multiple times during live operations
- •Risk of code depletion with potential legal and customer experience implications
- •Need to scale code generation and ingestion in real time without disrupting the live system
- •Continuous threat of fraud and abuse requiring active monitoring and intervention
- •Coordination across multiple teams under live production pressure
What I Did
- •Led the cross-functional execution team, coordinating efforts across engineering, operations, and partner teams
- •Drove real-time decision-making and problem-solving to address emerging risks
- •Established a scalable ingestion strategy to increase code supply without overloading system infrastructure
- •Implemented continuous fraud monitoring and response workflows to detect and block bad actors
- •Maintained stakeholder alignment through clear communication and rapid escalation pathways
Execution at scale is defined by how effectively teams adapt when real-world demand exceeds expectations.
Additional details available upon request.
Across these programs, a consistent pattern emerges:
- •Leading execution under complexity and scale
- •Navigating constraints through structured systems and risk management
- •Applying real-time decision-making to maintain stability and performance
These experiences now inform a broader focus on applying AI to further enhance execution, automation, and operational intelligence.
Projects
AI Projects
AI Job Search Automation Tool
What it does
Automates job discovery, filtering, and tracking using AI workflows.
How it works
- •Daily job scraping
- •AI-based relevance filtering
- •Structured tracking system
- •Feedback loop for learning
Why it matters
Demonstrates how AI can enhance decision-making and reduce manual effort.
AI-Powered Task Manager
What it does
A CLI task manager that bridges the terminal and Obsidian, using natural language parsing to capture, organize, and review tasks without friction.
How it works
- •Natural language input — extracts dates, priorities, categories automatically
- •Two-way Obsidian sync — markdown files, changes sync back
- •Smart daily summaries — today, this week, next week
- •Extensible taxonomy — canonical tags and domains
Why it matters
Shows how thoughtful system design can eliminate friction between task capture and task review.
About
About Me
I'm a digital leader focused on executing complex programs at scale.
I've led high-visibility national campaigns across North America, working across product, engineering, and operations to deliver under real-world constraints.
I'm now focused on applying AI to transform how digital systems are designed and executed — combining structured delivery with emerging technologies to unlock new levels of efficiency and impact.
How This Site Was Built
This site was created using AI-assisted workflows across design, copy, and development.
The process involved exploring design directions, refining structure and layout, and developing content around a clear narrative and positioning — all through iterative collaboration with AI systems.
This reflects how I approach applying AI in practice: not as a shortcut, but as a way to improve clarity, accelerate iteration, and enhance execution.