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I’m a software engineer with 5+ years of experience delivering full-stack, cloud-native, and AI-powered solutions. I specializes in Java, Python, Spring Boot, Node.js, and React to build resilient microservices and end-to-end applications. I design and deploy AI/ML pipelines, generative AI workflows, and real-time data streaming, with a strong focus on secure API design, observability, and scalable performance in collaborative Agile environments. I enjoy turning complex problems into intelligent, reliable software and collaborating with cross-functional teams to deliver impactful results.…I’m a software engineer with 5+ years of experience delivering full-stack, cloud-native, and AI-powered solutions. I specializes in Java, Python, Spring Boot, Node.js, and React to build resilient microservices and end-to-end applications. I design and deploy AI/ML pipelines, generative AI workflows, and real-time data streaming, with a strong focus on secure API design, observability, and scalable performance in collaborative Agile environments. I enjoy turning complex problems into intelligent, reliable software and collaborating with cross-functional teams to deliver impactful results.

Pavan Kalyan

Full Stack Developer, Web Developer, Back-End Developer, +2

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I’m a software engineer with 5+ years of experience delivering full-stack, cloud-native, and AI-powered solutions. I specializes in Java, Python, Spring Boot, Node.js, and React to build resilient microservices and end-to-end applications. I design and deploy AI/ML pipelines, generative AI workflows, and real-time data streaming, with a strong focus on secure API design, observability, and scalable performance in collaborative Agile environments. I enjoy turning complex problems into intelligent, reliable software and collaborating with cross-functional teams to deliver impactful results.…I’m a software engineer with 5+ years of experience delivering full-stack, cloud-native, and AI-powered solutions. I specializes in Java, Python, Spring Boot, Node.js, and React to build resilient microservices and end-to-end applications. I design and deploy AI/ML pipelines, generative AI workflows, and real-time data streaming, with a strong focus on secure API design, observability, and scalable performance in collaborative Agile environments. I enjoy turning complex problems into intelligent, reliable software and collaborating with cross-functional teams to deliver impactful results.

Available to hire

I’m a software engineer with 5+ years of experience delivering full-stack, cloud-native, and AI-powered solutions. I specializes in Java, Python, Spring Boot, Node.js, and React to build resilient microservices and end-to-end applications.

I design and deploy AI/ML pipelines, generative AI workflows, and real-time data streaming, with a strong focus on secure API design, observability, and scalable performance in collaborative Agile environments. I enjoy turning complex problems into intelligent, reliable software and collaborating with cross-functional teams to deliver impactful results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Software Development Engineer at USAA

May 1, 2024 - Present

Engineered AI-driven payment APIs and tokenization systems using Spring Boot, Hibernate, Python, and RESTful microservices; optimized API response times by 35%, supporting 30,000+ concurrent AI-initiated payments daily. Integrated Generative AI models and RAG pipelines (LlamaIndex) to autonomously verify transaction intent and reconcile contextual merchant data, improving fraud detection accuracy by 28% with sub-second responses. Implemented OAuth2/JWT-based authentication with MFA, achieving 99.99% uptime for AI-initiated transactions. Employed MongoDB and Redis to cache real-time transaction data and AI context, reducing latency by 40%. Orchestrated AI-driven transaction workflows using LangChain, automating payments and compliance checks and cutting manual intervention by 40%. Designed IaC pipelines with Terraform to provision AWS environments and automate CI/CD, reducing deployment times by 50%. Collaborated with Microsoft/IBM to standardize data contracts and ensure PCI DSS compli

Software Engineer at Capgemini

September 1, 2021 - August 31, 2023

Architected microservices for retail order processing using Java, Spring Boot, Spring Cloud, REST APIs, and Python automation, reducing latency by 42% and improving customer satisfaction. Containerized pipelines with Docker, Kubernetes, and Helm on AWS, achieving 99.98% uptime and auto-scaling during peak periods. Automated real-time Kafka event pipelines for inventory and pricing across 120+ stores, reducing mismatches by 35%. Migrated ETL from MySQL to PostgreSQL and integrated MongoDB, improving analytics latency by 50%. Integrated AWS serverless workflows (Lambda, S3, RDS) to streamline order processing and analytics, cutting infrastructure costs by 25%. Implemented end-to-end full-stack workflows with Spring Boot + React, boosting operational efficiency by 30%. Managed Jira workflows to improve sprint delivery by 25%. Built interactive React + TypeScript dashboards for KPIs, inventory alerts, and predictive insights, increasing actionable insights by 30%. Developed Python automati

Software Engineer at Accenture

May 1, 2020 - August 31, 2021

Developed a secure mobile-optimized patient portal enabling access to medical records and appointment scheduling, boosting portal adoption by 45%. Integrated EHR with external diagnostic labs using HL7/FHIR APIs, ensuring real-time data synchronization and eliminating manual entry errors. Revamped the care management dashboard in React for real-time vitals monitoring across 4,000+ patients. Optimized medical claims processing by integrating insurer APIs, increasing first-pass acceptance from 78% to 96%. Implemented automated testing (JUnit, Mockito, Cypress, Postman/Newman) to improve defect detection and reduce production bugs by 35%. Built automated appointment reminders using Node.js and Python on AWS Lambda/S3/RDS, reducing no-shows by 22%. Implemented MLflow and SageMaker monitoring for predictive healthcare models to improve tracking and deployment of patient risk scoring.