• High-performance Python backends serving millions of users
• Cloud-native architecture with 30-40% cost optimization
• AI/ML implementation for business process automation
• Security-driven development with penetration testing

• 45-85% improvement in system performance
• 30-40% reduction in cloud infrastructure costs
• 99.9% uptime across critical production systems
• 90%+ code coverage on production applications

Built AI-powered threat detection systems at SecurityScorecard analyzing billions of security signals, with LangChain chatbots and real-time monitoring dashboards .

Developed secure authentication flows for Venmo/PayPal handling millions of daily transactions, with Python validation systems preventing attack vectors

Engineered cloud migration for medical diagnostics platform with real-time ML analysis pipelines, reducing cloud costs by 40% while meeting HIPAA requirements

Created OneTrust's migration platform with 99.9% data accuracy for sensitive compliance data, following strict privacy regulations and SOC2 guidelines

Developed Sintecsys wildfire detection system with real-time image processing that detected 500+ early-stage fires, reducing false positives by 75%

Built license plate recognition system scanning 1M+ vehicles daily with 98% accuracy, optimizing traffic management and security applications

Created SNMP-based monitoring system for 10K+ ATM devices with <1s alert response time, ensuring 99.99% network uptime for critical banking services

Built PySpark/Hadoop ML pipelines processing 10M+ daily records for Serasa Experian, delivering critical business insights and predictive models

Developed Flask and Django APIs processing 500K+ requests/hour at Globo.com, supporting high-traffic media streaming and content delivery