Matthew Long

Built real-time shipment tracking and returns processing microservices handling millions of daily transactions. Reduced query latency 60%, eliminated 95% of webhook failures, and scaled APIs to 10K req/s.

Migrated legacy on-premise infrastructure to AWS. Achieved 99.95% uptime, improved performance 40%, accelerated feature delivery 50%, and reduced infrastructure costs 25%.

Deployed Twilio IVR system for national marketing campaign in 10 days. Handled 50K+ calls without incidents with <200ms response times during viral traffic spikes.

Built AI-powered document automation for municipal governments. Reduced ticket processing time 85%, achieved 99.5% classification accuracy, processed 1.2M+ documents.

Developed ensemble ML models reducing forecasting errors 30% and saving $600K+ annually. Scaled to 10M+ daily events with real-time Kafka streaming on multi-cloud infrastructure.

Built ML-powered analytics platform improving attrition prediction accuracy from 40% to 85%. Reduced forecasting time 95% with automated data pipelines.

Built real-time monitoring dashboard reducing incident detection from 8 minutes to 20 seconds. Scaled to 50M+ daily events with 99.95% delivery guarantee.

Architected SOC2-compliant multi-cloud platform achieving 99.995% uptime. Improved compliance accuracy 45% using BERT-based NLP for regulatory document classification.

Core engineer contributing to $300M Palo Alto Networks acquisition. Reduced AWS costs $70K/yr, scaled to 1M+ events/day, awarded "Bug Fix of the Year 2017."