Abhinav Ravella

About Abhinav Ravella

Software Engineer with 4+ years of experience designing, building, and operating full-stack systems using Java 17, Spring Boot, Kafka, AWS, and React. I specialize in developing high-volume, low-latency microservices and event-driven platforms for regulated banking and healthcare environments.My work focuses on backend and platform engineering, including REST APIs, microservices architecture, Apache Kafka pipelines, cloud infrastructure on AWS, and production-grade observability. I have delivered systems processing 500K+ daily events, reduced operational costs by double digits, improved reliability metrics, and supported compliance-critical workflows in financial and clinical domains.I also bring hands-on full-stack experience, building React and TypeScript user interfaces integrated with Spring Boot APIs to enable real-time visibility, operational control, and workflow efficiency for internal users.Core strengths include- Java, Spring Boot, REST APIs, Microservices - Apache Kafka, event-driven systems, asynchronous processing - AWS (EC2, RDS, S3, Auto Scaling), Docker, Kubernetes - CI/CD pipelines, observability, production reliability - Security: IAM, RBAC, OAuth2, JWTI am seeking Software Engineer, Full-Stack Engineer, or Full-Stack Developer roles where I can contribute to scalable systems, reliable platforms, and business-critical engineering outcomes.

Experience

1. Software Engineer

   Citi

   Jul 2025 — Present · US

   As a Software Engineer at Citi Bank, I work on high-volume banking platforms supporting payment execution, account-state processing, and regulatory reporting. I develop Java 17 Spring Boot REST microservices processing 500K+ daily events, maintaining p95 latency under 180ms across downstream consumer and compliance systems. I re-architected monolithic Java applications into cloud-native microservices with standardized REST APIs, enabling independent deployments, reducing release coupling by 60%, cutting change lead time from 5 days to 2 days, and lowering recurring production incidents by 25%.I engineered Apache Kafka event-driven pipelines with idempotent consumers and fault-tolerant retry mechanisms, reducing reconciliation breaks by 35% across settlement and ledger workflows. I optimized AWS infrastructure (EC2, RDS, Auto Scaling Groups) through workload-based auto scaling and capacity planning, lowering monthly infrastructure spend by 22% while meeting latency SLOs during peak transaction windows. I also implemented IAM, RBAC, OAuth2, and JWT-based security in Spring Boot APIs, passing quarterly audits with zero critical findings, and established production observability using Prometheus, Grafana, tracing, and centralized logging, reducing incident detection time from 45 minutes to 5 minutes and lowering MTTR by 32%.Competencies: Java 17, Spring Boot, Kafka, AWS, REST APIs, Microservices, PostgreSQL, Docker, Kubernetes, CI/CD, IAM, OAuth2

Education

• University at Buffalo

  Master of Science - MS, Computer Science

• Dr.KKR's Gowtham International School

  Secondary Education, CBSE

• Amrita Vishwa Vidyapeetham, Coimbatore

  Bachelor of Technology - BTech, Computer Science

• Sri Chaitanya College of Education

  Higher Education