• Built and maintained 3+ C#/.NET backend services following Agile/SDLC practices resolving 10+ system defects per quarter

• Led Azure deployments using Functions, APIs, and automated CI/CD pipelines, reducing release time by 25%

• Maintained 99.9% uptime for mission-critical systems supporting 10K+ users by implementing telemetry with Application Insights, Log Analytics, and Azure Monitor

• Leveraged GitHub Copilot for iterative code suggestions, enabling faster debugging and clearer technical documentation for 3+ backend services

• Architected and implemented an on-canvas floating action bar in C++/Qt for Krita, used by 1M+ users, reducing selection task steps by 30% and improving workflow speed across desktop builds

• Proposed and delivered core UI enhancements for Krita’s selection tools, adding invert, crop, transform, cut, copy, and fill capabilities within the floating action bar

• Integrated a configurable UI toggle, preserved legacy shortcut compatibility, and authored documentation in Krita’s official manual to ensure seamless user adoption and contributor onboarding

• Designed and developed hybrid C#/.NET middleware integrating Automated Guided Vehicle (AGV) systems with WMS/ERP platforms, enabling 24/7 automated warehouse operations and reducing manual forklift labor through process automation

• Customized and maintained middleware logic using EasyCode state machines, SQL Server, and MQTT messaging to adapt baseline systems for each facility’s workflow, ensuring reliability across on-prem and remote servers

• Collaborated cross-functionally with hardware, QA, product, and IT teams to deploy tailored AGV solutions with a 20% reduction in deployment time and 99% customer satisfaction during live rollouts

• Analyzed telemetry and system performance data to refine routing logic and uptime monitoring, increasing AGV utilization by 15% and reducing idle time across multiple warehouses

• Optimized real-time ETL pipelines for Microsoft 365 telemetry data by filtering 100K+ false-positive logs daily using Scala and KQL in Azure Data Explorer, reducing processing time by 30% and pipeline latency from 2 hours to 90 minutes

• Automated data validation and transformation workflows using Azure Synapse and Azure Data Factory, improving data accuracy and reducing manual pipeline interventions by 40%

• Developed and visualized performance dashboards in Power BI and Kusto Query Language (KQL) to monitor data freshness, enabling faster anomaly detection and improving operational visibility for the analytics team

• Presented biweekly technical reports to executive leadership, translating telemetry insights into data-driven resource allocation decisions that improved system efficiency by 15% across M365 analytics environments

• Expanded test coverage for ESLint’s React accessibility plugin (jsx-a11y) by refining RuleTester cases in Mocha, improving rule validation depth and accuracy by 110%

• Contributed 6+ pull requests across the ESLint open-source ecosystem, collaborating with 5+ global maintainers to review, test, and deploy updates adopted by millions of React developers

• Authored documentation and issue reports that enhanced contributor onboarding and accelerated backlog resolution, helping streamline CI/CD and release workflows in the ESLint community