ÁNGEL NEROZZI

Architected secure API infrastructure for wallet integrations, payment processing, and KYC verification services, processing 5,000+ daily transactions.

Developed event-driven notification systems using WebSockets and serverless functions for real-time transaction status updates and user alerts.

Implemented automated testing and deployment workflows, reducing release cycle time by 50% and eliminating deployment-related incidents.

Designed scalable database architectures (PostgreSQL + Redis) supporting high-throughput read/write operations for financial transaction logging.

Established security protocols including OAuth 2.0, JWT authentication, and API rate limiting, ensuring compliance with financial industry standards.

Collaborated with cross-functional teams to define technical requirements and deliver solutions, ensuring alignment with business roadmaps and regulatory compliance for financial services.

Architected microservices infrastructure on Google Cloud Platform, supporting 10,000+ daily active users with auto-scaling capabilities for sustained performance.

Designed API gateway and service mesh for internal communication between 12 microservices, improving system resilience, observability, and fault tolerance.

Implemented Infrastructure as Code (IaC) using Terraform for consistent environment provisioning and robust disaster recovery capabilities.

Established incident management protocols, reducing critical incident response time from 4 hours to 45 minutes through improved processes and tooling.

Mentored an engineering team of 5 developers on cloud-native development practices, API design patterns, and advanced debugging methodologies, fostering skill growth.

Built Python-based automation scripts for data extraction, transformation, and loading (ETL) processes, handling 100,000+ records daily with high accuracy.

Developed robust REST API clients, facilitating seamless integration with third-party data providers and critical business intelligence platforms.

Implemented monitoring and alerting systems for ML model performance and data pipeline health, ensuring 99.5% system reliability and proactive issue resolution.

Authored comprehensive technical documentation and runbooks, streamlining incident response and system maintenance procedures for enhanced operational efficiency.

Collaborated directly with client engineering teams to troubleshoot complex integration issues and optimize API performance, ensuring client satisfaction and system stability.

Architected and deployed 15+ complex customer experience flows in Genesys Cloud Architect, handling 10,000+ daily voice and digital interactions across retail, banking, and telecommunications clients with 99.8% availability.

Developed 25+ REST API integrations via Data Actions connecting Genesys Cloud to Salesforce, Microsoft Dynamics 365, and custom CRM platforms, reducing agent handle time by 20%.

Implemented event-driven architecture using AWS EventBridge and Lambda functions to trigger real-time workflows based on customer journey events and platform state changes, enhancing responsiveness.

Built conversational IVR flows with speech recognition and DTMF handling, reducing call abandonment rates by 15% through optimized menu structures and intelligent routing.

Led troubleshooting and platform stability initiatives, resolving 50+ critical P1/P2 incidents related to routing failures, API timeouts, and telephony connectivity issues to ensure service continuity.

Established robust monitoring and alerting frameworks utilizing Genesys Analytics and AWS CloudWatch, proactively identifying and mitigating performance bottlenecks across critical systems.

Collaborated with Product Owners and business stakeholders to translate functional requirements into technical solutions, delivering 12 major releases on schedule.

Architected scalable backend systems using Node.js and Python, processing 50,000+ API requests daily with sub-200ms response times for high-performance communication.

Designed and implemented comprehensive RESTful API ecosystems for critical functions like customer data synchronization, order management, and real-time notifications across distributed microservices.

Implemented webhook-based event processing, handling 10,000+ asynchronous events daily for payment confirmations, status updates, and trigger-based workflows.

Developed conversational AI integrations connecting NLP engines to messaging platforms, enabling automated customer service for 1,000+ daily conversations.

Built real-time monitoring systems using CloudWatch and custom logging, achieving 99.9% platform uptime and reducing Mean Time To Resolution (MTTR) by 35%.

Established robust CI/CD pipelines, automating testing and deployment of critical communication services across development, staging, and production environments to accelerate release cycles.

Created technical documentation and API specifications for 15+ integration endpoints, facilitating seamless third-party vendor onboarding and developer adoption.