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Tanmay Arora

Tanmay Arora

Software Engineer with 5+ years of experience designing and developing scalable full-stack and cloud-native applications

Talent
UnionMember since May 28, 2026
JavaPythonC++JavaScriptTypeScriptSQLSpring BootSpring SecurityNode.jsExpress.jsRESTful APIsMicroservices ArchitectureDistributed SystemsOAuth2React.jsAngularAWSLambdaCloudWatchMicrosoft AzureAzure DevOpsDockerKubernetesJenkinsCI/CD PipelinesOpenAI APIsRetrieval-Augmented Generation (RAG)Apache KafkaReal-Time Event ProcessingMySQL
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JavaPythonC++JavaScriptTypeScript

About

Software Engineer with 5+ years of experience designing and developing scalable full-stack and cloud-native applications using Java, Spring Boot, Python, React.js, Angular, Node.js, and microservices architecture. Skilled in building distributed systems, REST APIs, Kafka-based event-driven platforms, and containerized applications using Docker, Kubernetes, Jenkins, AWS, and Azure. Experienced in implementing AI-assisted solutions with OpenAI, RAG, and AWS Lambda while improving system scalability, MTTR, and deployment efficiency.

Strong expertise in Agile development, CI/CD automation, performance optimization, and delivering secure, high-performing enterprise applications for banking, education, and client-facing domains.

Experience

Software Engineer at PNC Financial Services (2025-07 – Present)

  • Architected and developed distributed banking microservices using Java 17, Spring Boot, Kafka, and AWS, to modernize transaction processing systems, which improved service scalability by 45% and reduced API response latency by 35% for digital banking customers and internal operations teams.
  • Engineered AI-assisted fraud monitoring workflows using Python, OpenAI APIs, and Retrieval-Augmented Generation (RAG), to analyze real-time transaction anomalies and customer behavior patterns, which reduced manual fraud investigation effort by 40% and improved incident detection accuracy for risk management teams.
  • Spearheaded the migration of legacy REST services into containerized microservices with Docker, Kubernetes, and Jenkins CI/CD pipelines, to streamline release management and deployment automation, which accelerated production deployments from bi-weekly to daily releases for enterprise engineering teams.
  • Designed high-throughput event-driven systems using Apache Kafka and Redis caching, to process more than 8 million financial events daily with near real-time synchronization, which improved transaction consistency and reduced downstream processing delays for customer-facing applications.
  • Developed secure backend APIs and authentication services using Spring Security, OAuth2, and Node.js, to strengthen access management across banking applications, which improved compliance readiness and reduced unauthorized access incidents for cybersecurity stakeholders.
  • Implemented AWS Lambda-based monitoring and automated remediation services integrated with CloudWatch and Splunk, to proactively identify infrastructure failures and reduce operational disruptions, which lowered Mean Time to Resolution (MTTR) by 30% for production support teams.
  • Collaborated with cross-functional Agile teams to build React.js and Angular dashboards for financial analytics and customer onboarding workflows, to improve operational visibility and user engagement, which increased internal productivity and reduced onboarding turnaround time for business users and banking partners.

Software Developer (IT) at University of Central Florida (2024-01 – 2025-05)

  • Developed cloud-native academic management applications using Java, Spring Boot, React.js, and Microsoft Azure App Services, to streamline student workflow automation and digital record management, which improved application availability and reduced manual processing efforts for university administration teams.
  • Built scalable RESTful APIs and backend services using Python, Node.js, and Azure Functions, to support real-time student data synchronization across internal systems, which enhanced processing efficiency and reduced integration failures for campus IT operations.
  • Engineered responsive frontend interfaces using Angular and React.js, to modernize faculty and student portals with reusable UI components, which improved page load performance by 25% and increased accessibility compliance for university users.
  • Automated CI/CD workflows using Azure DevOps, Docker, and Kubernetes, to standardize deployment pipelines and testing processes, which reduced deployment effort by 40% and improved release reliability for development and QA teams.
  • Optimized SQL queries and implemented Azure SQL database performance tuning strategies, to support high-volume academic reporting systems, which reduced report generation time by 35% for faculty and institutional analytics stakeholders.

Software Developer at Codenest Solution (2020-07 – 2023-07)

  • Designed and implemented scalable backend services using Java, Spring Boot, and MySQL, to support enterprise web applications for multiple clients, which improved application throughput and reduced service downtime for business operations teams.
  • Developed reusable frontend modules using React.js, Angular, JavaScript, and TypeScript, to deliver responsive single-page applications with enhanced user experience, which increased client satisfaction and reduced UI maintenance efforts for product teams.
  • Engineered RESTful APIs and microservices using Node.js and Express.js, to integrate third-party payment and customer management systems, which streamlined data exchange processes and improved transaction reliability for client platforms.
  • Containerized backend applications using Docker and orchestrated deployments with Kubernetes and Jenkins, to establish scalable cloud-ready environments, which reduced deployment failures by 30% and accelerated release cycles for engineering teams.
  • Implemented real-time event processing pipelines using Apache Kafka and Redis caching, to improve asynchronous communication and reduce backend processing latency, which enhanced application responsiveness for high-traffic systems.
  • Optimized multithreaded processing modules using C++ and STL libraries, to improve memory management and high-volume data handling capabilities, which increased processing efficiency by 20% for performance-critical backend services.
  • Collaborated within Agile Scrum teams to deliver full-stack enhancements, conduct code reviews, and implement automated testing with JUnit and Mockito, to improve code quality and maintainability, which achieved higher release stability and reduced post-production defects for stakeholders.

Education

Master of Science in Computer Science – University of Central Florida (2023-08 – 2025-05)

Bachelor of Technology in Computer Science – Uttarakhand Technical University (2016-08 – 2020-09)

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