Professional Experience

  • Conducted experiments and analyzed results, to find the features to improve tactical decision-making in the simulation environment
  • Enhanced military simulation data logging by automating data capture and refining logs, enhancing efficiency by 70% and enabling better analysis of eye-tracking and decision-making behavior
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  • Optimized cloud resource allocation for applications spanning insurance to tax calculations, cutting infrastructure costs by 25% while maintaining 99.99% uptime for systems processing 1M+ daily transactions, benefiting over 3M+ Kentucky residents
  • Enhanced cloud security by implementing secure access control through IAM, configuring RBAC policies, and setting up Network Security Groups (NSG) for VNet and Subnet, along with private endpoints for secure communication
  • Developed financial and health performance dashboards with Azure Monitor, tracking critical KPIs including resources costs, resource health and daily failures, enhancing decision-making by reducing reporting time by 30%
  • Automated data recovery processes, ensuring consistent data integrity across system saving $10M for the client
  • Collaborated with stakeholders to translate business requirements into technical solutions, accelerating project delivery by 35% and enhancing alignment with business objectives
  • Enhanced stability of military training simulations by optimizing C# code and integrating multi-modal capabilities, reducing system downtime by 30% and increasing user engagement by 20%
  • Led a successful POC demonstrating a 500% performance boost in migrating legacy applications to Azure, securing a contract that increased project revenue by 40%
  • Built scalable supply chain applications related to purchase orders, contracts, payments and invoices using C#.NET, Azure and CI/CD pipelines to streamline data processing between enterprise system resulting in $2M+ increased annual revenue
  • Optimized SQL database architecture by refactoring stored procedures and restructuring tables, reducing query latency by 30%