• Led design and implementation of accounting generation framework overhaul with guidance from 2 principal engineers, reducing processing time from 8+ hours to under 15 minutes for 1M+ financial documents generating 100M+ accounting entries through parallel execution, intelligent batching, and adaptive caching strategies

• Enabled onboarding of 3 Fortune 500 enterprise customers by meeting strict performance SLA requirements, unblocking deals previously limited by system throughput constraints

• Contributed to multi-memory system for AI code agents enabling context-aware code generation and review across large, modularized codebases with distinct coding standards per module

• Built automated monitoring and alerting system for team services, reducing incident resolution time by 40% and detection time by 60% through intelligent triage and root-cause correlation

• Active member of cross-team performance optimization initiative (10-15 engineers), contributed to best practices development, delivered knowledge-sharing sessions, and conducted performance reviews that drove 45% improvement in response times across services

• Mentored 5 engineers (2 new senior hires, 2 new grads, 1 peer) through weekly 1-on-1s, code reviews, and design discussions, achieving fastest team onboarding record and contributing to 1 promotion within first year and successful delivery of multiple large-scale initiatives

• Analyzed performance telemetry data across Microsoft Dynamics 365 services to identify performance regressions and correlations with customer satisfaction scores, providing actionable insights to engineering teams for optimization

• Built comprehensive monitoring dashboards using C#, .NET, PowerBI, and Kusto (KQL) to visualize UI responsiveness metrics and batch process health, enabling product teams to make data-driven performance decisions

• Implemented automated alerting system with custom thresholds that notified engineering teams of performance degradations before customer impact, reducing customer-reported incidents by 35% through proactive detection

• Collaborated with engineering teams to establish performance baselines and SLA definitions, creating documentation and playbooks for incident response that improved mean time to resolution

• Built RESTful applications on .NET framework using SQL Server, Entity Framework Code First, and LINQ for New Business Framework, integrating USPS API for real-time address validation to improve data accuracy

• Implemented Insurance Subgroup Management System based on provided architectural designs, including complete entity modeling, database schema migrations, middleware layer development, and responsive UI components using modern web frameworks

• Established containerization proof-of-concept using Docker, Kubernetes, Helm, Hashicorp Consul, and Dapr service mesh, successfully deploying microservice to K8s cluster and presenting company-wide demonstration that influenced infrastructure modernization strategy

• Configured automated deployment pipelines with Helm charts enabling horizontal scaling and load balancing across development and staging environments, creating documentation for team adoption of containerized workflows

• Designed and implemented core modules for university Clery Act compliance system as the second engineer at early-stage startup, building automated workflows that reduced manual compliance workload and improved incident reporting accuracy

• Developed modular C# and .NET service layers with risk scoring logic, incident classification engine, and policy-driven decision workflows with role-based access controls to support campus safety operations

• Built data validation and audit-trail framework with automated notifications and deadline tracking to support federal reporting requirements and maintain compliance records

• Collaborated with founders and campus safety stakeholders to translate compliance requirements into technical features, contributing to product foundation that enabled adoption by 3 universities post-launch