Played a key role in modernizing and operating core platform services within a distributed SaaS environment, migrating from on-prem Ubuntu/Debian deployments to cloud-native, containerized microservices running on Kubernetes, and driving adoption of Docker, containerd, and Skaffold

Solved complex platform migration challenges, including removal of shared filesystem dependencies, redesign of inter-service networking, and systematic decoupling of tightly coupled services through deep, log-driven analysis

Owned and operated the core backend integrations service for the Onapsis Platform, enabling secure ingestion, transformation, and delivery of cybersecurity alerts to external systems including Microsoft Sentinel, ServiceNow, Splunk, QRadar, SAP, and Oracle

Led end-to-end delivery of strategic platform integrations, including the Microsoft Sentinel–Onapsis integration in collaboration with Microsoft engineers and customers, and a ServiceNow integration refactor that adopted updated platform standards and migrated from synchronous, thread-locking calls to an asynchronous ECC queue–based architecture

Drove delivery of multi-tenancy support across core platform services, optimizing performance on resource-constrained systems while contributing to shared backend microservices and the primary Django GraphQL entrypoint

Delivered international payroll and cost-estimation features across 3+ countries using PHP and React, partnering closely with Product and QA to clarify requirements, manage tradeoffs, and meet strict payroll deadlines

Maintained high system reliability during payroll-critical periods by balancing on-call support and urgent payroll-blocking incidents with rapid, high-quality feature development in a fast-paced environment

Improved code quality, performance, and security through architectural input, proactive refactoring of legacy systems, rigorous code reviews, and timely resolution of production issues impacting payroll accuracy

Architected and delivered distributed, microservice-based systems using NestJS, Kafka, Docker, Kubernetes, Terraform, and Azure, supporting production IoT robotics platforms and client-facing applications

Owned the architecture, planning, and development of two core microservices, and contributed to the implementation and maintenance of additional backend services supporting cloud-based data ingestion, processing, and device management

Designed and implemented event-driven communication pipelines with Kafka, Confluent Cloud, and MQTT, enabling reliable, real-time communication between edge devices and cloud infrastructure

Built end-to-end observability and monitoring using Elasticsearch, Kibana, and Kafka, and developed a Python-based automated metrics pipeline that reduced operational reporting effort by 5+ hours per week

Led a frontend architecture modernization, establishing a standardized, reusable component library that improved maintainability, consistency, and delivery speed across applications

Improved system reliability and customer outcomes by supporting field deployments, mentoring engineers on IoT troubleshooting, and translating real-world device issues into platform improvements

Develop full-stack software features for various Computer Vision and Robotics products.

Work extensively with Elasticsearch (Kibana) and Kibana Watchers. Create Angular + Python apps for more complex alerts and for Visualizing data.

Developed new and improved existing features in .NET application. Worked with .NET, jQuery, SQL Stored Procedures and KAFKA.

Monitored server events, KAFKA processing lags and fixed/reprocessed issues to maintain server health.