Software Engineer

Architected and deployed end-to-end Java Spring Boot microservices on AWS (EC2, S3, Lambda) to support scalable data ingestion, transformation, and reporting workflows for operational analytics exceeding 500K+ records. Designed and integrated RESTful APIs using Java and Spring Boot to expose backend data services, enabling seamless communication between operational dashboards, reporting tools, and downstream data consumers with 99.5% uptime. Built and maintained automated ETL pipelines using Spring Batch and Spring Scheduler to process transactional datasets (revenue, attendance, inventory, performance metrics), enabling near real-time KPI monitoring and reducing manual reporting effort by 40%. Implemented asynchronous event-driven workflows using Kafka and RabbitMQ to decouple data ingestion and processing services, improving system resilience, fault tolerance, and throughput for high-volume operational data. Optimized relational database schemas and SQL queries using Hibernate ORM, indexing, partitioning, and connection pooling strategies, improving query performance by 30% and supporting complex analytical workloads across PostgreSQL and MySQL. Deployed and managed containerized Java microservices on AWS Lambda and EC2 using Docker and Kubernetes, ensuring scalable, low-maintenance inference and processing services with automated CI/CD pipelines via Jenkins and GitHub Actions. Implemented robust logging, monitoring, alerting, and error-handling mechanisms using Prometheus and Spring AOP, ensuring pipeline reliability, fault tolerance, and data integrity across distributed workflows. Collaborated with cross-functional teams in Agile sprints, participating in code reviews, system design discussions, and sprint planning to deliver scalable, maintainable Java-based data-driven solutions aligned with business objectives.

Designed and developed secure, high-throughput backend microservices in Java (Spring Boot) using REST/gRPC/GraphQL APIs, powering transactional and operational workflows with robust authentication, access control, and secure coding practices while maintaining p95 API latency <250ms. Led migration of high-traffic Java monoliths to Spring Boot microservices architecture, introducing Kafka-based event streaming, circuit breaker patterns (Resilience4j), and fault isolation strategies that improved system availability to 99.95% and reduced cascading failures during peak load. Built and optimized full-stack web applications using React, Redux, TypeScript/JavaScript, and Material-UI, delivering accessible (WCAG/ARIA), responsive UIs with secure session handling and 30% faster load times. Automated infrastructure provisioning using Terraform (IaC), Docker, and Kubernetes (AKS/EKS) with Helm, enabling zero-downtime deployments and reducing infrastructure costs by 25% while maintaining 99.95% uptime. Designed and optimized relational and non-relational database schemas (Oracle, PostgreSQL, MongoDB, Couchbase) using advanced indexing, aggregation strategies, and Hibernate ORM, cutting query execution times by 30% and improving reliability across high-volume workloads. Integrated Kafka-based event streaming and Resilience4j circuit breakers to ensure fault isolation and seamless data flow across distributed microservices. Implemented telemetry-driven observability using Quantum Metric, OpenTelemetry, and Grafana/Kibana, enabling end-to-end distributed tracing, real-time anomaly detection, structured logging, and SLA compliance monitoring across all microservices. Built efficient microservices using functional and object-oriented programming (Java, Python, C++) and authored technical design docs, API specifications, and runbooks to support scalable architecture, knowledge sharing, and operational consistency across teams. Defined and implemented comprehensive test strategies (unit, integration, regression) across 10+ microservices using JUnit and Mockito, maintaining 85%+ test coverage and preventing regression defects during CI/CD releases via Jenkins and GitHub Actions. Collaborated with cross-functional teams (PMs, QA, DevOps) in Agile/Scrum sprints using Jira across the full SDLC, driving sprint planning, reviews, and retrospectives while conducting peer code reviews. Supported 24×7 on-call rotation by standardizing incident triage, escalation paths, and recovery procedures, reducing MTTR by 30% and mentoring junior developers on best practices.

Architected and optimized 10+ RESTful and FastAPI endpoints using Python and GCP (Cloud Run), reducing system response times by 20% through efficient query design, connection pooling, and caching strategies against PostgreSQL. Implemented transactional consistency, comprehensive error handling, and secure authentication using JWT and OAuth2.0. Designed microservices architecture for the E-Wallet project using Python, FastAPI, and GCP Pub/Sub, decoupling payment processing, user authentication, and notification systems for independent scaling and fault isolation. Built an agentic decisioning pipeline using Gemini 3 and MCP tool-loop to classify transactional requests, extract invoice details, and verify orders against PostgreSQL, enabling intelligent automation of multi-step financial workflows with human fallback mechanisms. Designed and implemented an auditable policy engine using Neo4j graph database to model complex business rules and relationships, enabling transparent, traceable decision-making across payment and verification workflows. Optimized SQL queries and PostgreSQL schemas using indexing, partitioning, and query tuning techniques, reducing response times by 25% and improving overall system performance. Developed responsive, accessible frontend using HTML5, CSS3, JavaScript, and Bootstrap, focusing on cross-device compatibility and WCAG standards, achieving 20% improvement in user engagement. Deployed and managed serverless, event-driven application stack on GCP (Cloud Run, Pub/Sub, Cloud Tasks), maintaining 99.5% uptime. Project submitted to Gemini 3 Hackathon 2026, recognized for innovative use of agentic AI in financial workflows.