We engineer automated systems that actually work in production.

OptiTrac required a foundational transformation: moving from fragmented tooling to a unified platform architecture that could scale across multiple enterprise clients. The challenge wasn't just building features—it was engineering systems that handle real-world edge cases: unreliable networks, fragmented IoT data streams, high-frequency GPS telemetry, and multi-tenant isolation. We built production-grade infrastructure with strict ordering guarantees, zero-duplicate ingestion, offline-first mobile architecture, and sub-second real-time synchronization. Every system was designed for reliability first, scalability second—because in industrial environments, downtime means lost production, safety risks, and client churn.

• Platform Fragmentation Limiting Scale: OptiTrac's competitive advantage depended on offering integrated solutions, but their systems were siloed. Each client deployment required custom integrations, increasing time-to-market and operational overhead. This fragmentation prevented OptiTrac from scaling efficiently across multiple enterprise clients and undermined their platform play strategy.
• Client Operations Drowning in Manual Work: OptiTrac's enterprise clients (mines, construction sites) were spending significant time on manual data entry and spreadsheet-based workflows. Delayed reporting meant decisions were reactive, not proactive. This operational friction limited client satisfaction and prevented OptiTrac from demonstrating the full ROI of their solutions.
• IoT Data Integrity Eroding Client Trust: Production-critical IoT data streams were unreliable: fragmented packets, out-of-order events, and duplicate records led to incorrect production counts and broken operational cycles. When data accuracy fails in industrial environments, client trust deteriorates quickly—creating retention risk and limiting expansion opportunities.
• Real-Time Gap Reducing Competitive Differentiation: Enterprise clients expected real-time operational visibility, but OptiTrac couldn't deliver sub-second synchronization across mobile apps and web dashboards. This capability gap prevented OptiTrac from positioning themselves as a premium, technology-forward provider—limiting their ability to command higher pricing and win competitive deals.

• Modular Platform Architecture Enables Rapid Deployment: Architected IMOS as a unified, modular ecosystem with 14+ integrated modules (shift planning, safety compliance, maintenance, production analytics, operator tracking). The modular design enables OptiTrac to rapidly deploy solutions across new client sites—reducing implementation time from months to weeks while maintaining platform consistency.Impact: OptiTrac can now scale client deployments efficiently. The unified platform eliminates integration overhead, reduces implementation costs by ~60%, and enables OptiTrac to offer premium integrated solutions instead of point tools—directly improving margin and competitive positioning.
• Offline-First Mobile Architecture for Field Reliability: Built Shadow Device mobile app with offline-first architecture, crash-safe persistence, and intelligent sync queues. Operators can track journeys, log activities, and manage workflows even in connectivity-poor mining/construction sites—ensuring zero data loss and continuous operations.Impact: OptiTrac's solutions now work reliably in harsh field conditions where competitors fail. Client satisfaction improved because operators never lose work due to connectivity issues—strengthening retention and enabling OptiTrac to win deals in remote/rugged environments where reliability is non-negotiable.
• Enterprise-Grade Data Ingestion with Zero-Duplicate Guarantees: Designed distributed TCP ingestion server with Redis atomic locks and SQS FIFO queues to handle fragmented IoT packets, late-arriving events, and network instability. The architecture ensures strict ordering, zero duplicates, and 100% data integrity even under high concurrency.Impact: Production-critical data accuracy restored—eliminating client complaints about wrong counts and broken cycles. This data trust foundation enables OptiTrac to expand into higher-stakes operational decisions where accuracy directly impacts client revenue. Client retention risk eliminated.
• Sub-Second Real-Time Synchronization Across All Devices: Built WebSocket framework with Redis-backed pub/sub, reconnection storm handling, and subscription management. Mobile apps and web dashboards stay perfectly synchronized—operators, supervisors, and management see identical real-time truth across all devices instantly.Impact: OptiTrac now delivers true real-time visibility that competitors cannot match. Clients make faster operational decisions, catch issues before they escalate, and demonstrate measurable productivity gains—enabling OptiTrac to command premium pricing and differentiate in competitive bids.

Complete platform transformation: enterprise operations suite (IMOS) with 14+ integrated modules, production-grade React Native mobile app with offline-first architecture, distributed TCP ingestion server handling fragmented IoT streams, real-time WebSocket framework with Redis-backed synchronization, and specialized platforms for asset tracking, material movements, and analytics. Architecture emphasizes modularity (enables rapid client deployment), data integrity (atomic locks, FIFO queues, strict ordering), and high availability (self-healing, failover mechanisms, production-tested). All systems deployed and handling real operational loads across multiple client sites.