Full Stack Engineer Java, AWS, Microservices, DevOps

Shristi Ghimire

202-***-**** ****************@*****.*** https://www.linkedin.com/in/shristighimire0225/ Professional Summary

Full Stack Engineer with end-to-end experience in implementing Java, Go, Python, Kafka and AWS based web application, supporting Migration, Modernization and New Product Development (R&D) projects. Summary:

● 6+ years of Software Engineering Experience in Architectural Design, Implementation, Deployment and Support using Java, Spring Boot, Hibernate, AWS, Python, GO & Kafka in Healthcare, Banking, and Telecommunication domain.

● Expertise in Core Java, J2EE (Servlets, JSPs, Java Beans, EJBs, JMS, JNDI, JDBC.

● Strong knowledge of Microservices with Spring Boot, AWS, MySQL, REST API, implementing distributed transaction management and circuit breaker patterns.

● Experience with Spring MVC, IOC, JDBC, AOP, DAO, DTO, Template Classes, SOA (WSDL, UDDI, SOAP, REST), and REST API development using JAX-RS (Apache CXF, Jersey) and Spring REST API.

● Database expertise in SQL, PL/SQL, Oracle, DB2, MySQL, SQL Server, PostgreSQL, DynamoDB, MongoDB, Redis, Cassandra, Neo4j, covering database modeling and administration.

● DevOps & Cloud Expertise: Hands-on experience with Docker, Kubernetes (EKS, AKS, GKE), Terraform, Helm, AWS CDK, Jenkins, GitHub Actions, ArgoCD, Spinnaker, and infrastructure as code (IaC) best practices.

● Worked with AWS (Lambda, S3, SQS, SNS, RDS, API Gateway, ECS, Cognito), Azure, GCP for cloud-based deployments, security, and automation.

● Skilled in Spring Boot, OAuth, Spring Security, Kafka, Spring Data JPA, Config Server, and AWS security policies for access control and asset protection.

● Proficient in SVN, GIT, CVS, Maven, ANT, and writing test cases for JUnit, Integration, and System Testing, with strong problem-solving, communication, and analytical skills. Technical Skills

● Languages: Java (8/11/17/21), JavaScript, TypeScript, Python, Shell Scripting

● Frameworks: Spring Boot, Spring MVC, Hibernate, JPA, WebFlux, Spring Batch, Micronaut, Quarkus, Vert.x

● Frontend: Angular (11/14), React.js, HTML5, CSS3, Bootstrap, Material UI, RxJS, NgRx

● Cloud & DevOps: AWS (Lambda, S3, SQS, SNS, RDS, API Gateway, ECS, Cognito), Azure, GCP, Kubernetes, Docker, Terraform, Helm, Jenkins, GitHub Actions, ArgoCD, AWS CDK

● AI & Automation: OpenTelemetry, AI-powered monitoring (Datadog, Prometheus), automated CI/CD, predictive analytics for scaling, Chaos Engineering (Gremlin, Chaos Monkey)

● Messaging & Streaming: Apache Kafka, RabbitMQ, Redis Streams, AWS Kinesis, ActiveMQ, Pulsar, NATS

● APIs & Security: REST, GraphQL, WebSockets, gRPC, JWT, OAuth2, OIDC, API Gateway, WAF, mTLS

● Databases: PostgreSQL, MySQL, DynamoDB, MongoDB, Redis, Cassandra, CockroachDB, Neo4j

● Monitoring & Logging: ELK Stack, OpenTelemetry, Micrometer, Prometheus, Grafana, Datadog, Splunk

● Testing & Tools: JUnit, Mockito, TestContainers, Rest Assured, JMeter, Selenium, Postman, SonarQube, Pact, Cucumber, Cypress, Gatling, JIRA Chaos Monkey, SOAP UI, Jenkins Professional Experience

AI Software Engineer May 2025- Current

Alto Pharmacy - San Francisco, CA

• Built and launched Alto’s first Voice AI Agent (Riley) using a Kafka-based automation architecture, doubling insurance-verification efficiency and saving ~$4M within six months.

• Automated onboarding and insurance-verification workflows in Ruby on Rails/PostgreSQL, increasing prescription throughput 3 (600 1,800+) and reducing patient-intake delays by 27%.

• Improved Medicare attestation processing by 40% and boosted data accuracy by 13% by developing Ruby CLI tools and integrating secure Protobuf-based service communication with Auth0.

• Reduced deployment lead times by one-third by implementing CircleCI pipelines, distributed tracing, Grafana/Prometheus dashboards, and proactive health checks for early incident detection.

• Led a multi-tenancy migration by refactoring Rails APIs, redesigning database schemas, and modularizing React components, cutting duplicated work 35% and decreasing post-deployment incidents 30%.

• Collaborated with data science to deploy AI-driven anomaly-detection models, improving claims-validation accuracy and uncovering hidden operational error patterns across intake workflows.

• Standardized Docker Compose development environments and created onboarding pathways focused on observability, debugging distributed systems, and service health, increasing engineering productivity.

• Designed architectural artifacts (API contracts, sequence diagrams, scaling patterns) ensuring that new automation flows met latency, resiliency, and cost constraints before implementation.

• Enhanced reliability through retry logic, exponential backoff, circuit breakers, and idempotent workflow design across automation services.

• Strengthened production security by implementing secure coding practices, dependency governance, SAST/DAST scanning, secret rotation, and OAuth2/OIDC-secured internal service communication.

• Built Python-based diagnostic tooling to analyze Kafka events, logs, and operational metrics, reducing recurring issues and lowering MTTR.

• Created dashboards highlighting latency spikes, retry patterns, queue health, and payload anomalies to accelerate root-cause analysis and data-driven optimization.

• Automated environment provisioning using Terraform and Python, reducing configuration drift and speeding up developer onboarding.

• Led cross-team investigations into distributed-system failures, race conditions, and flaky upstream dependencies, significantly improving operational stability.

• Founded Sudo, a community for women and non-binary engineers, helping shape post-reorg engineering culture through mentorship, representation, and inclusive technical collaboration. Full Stack Software Engineer Jan 2022- March 2025

Discover Financial Services - Riverwoods, IL

● Worked with Java 17 and Spring Boot microservices for implementing Fraud Detection System, for high concurrency transaction analysis and improved response times during peak load conditions.

● Used Angular 14 for UI, internal portals, improved usability, reduced manual errors, collaborated with the UX team.

● Built GraphQL, REST APIs between distributed services, data exchange and worked on optimizing performance.

● Deployed containerized services on AWS ECS Fargate, improved deployment consistency, enabled high availability and auto-scaling for fraud detection services.

● Configured Apache Kafka and Kafka Streams API into microservices for asynchronous messaging & event processing, data flow between for optimized fraud detection capabilities.

● Implemented cache layer with Redis, improved system performance, data retrieval for fraud detection endpoints.

● Designed multi-region, zero-downtime deployments using Kubernetes (EKS) and Route 53 with automated failover, for resiliency of systems, minimizing system downtime during maintenance.

● Configured the automated CI/CD with Jenkins, worked extensively on the Jenkins Script File, and Terraform.

● Configured AWS infrastructure using ECS, Fargate, Lambda, and DynamoDB, reducing cloud costs.

● Secured microservices with Spring Security, OAuth2, and AWS Cognito, for strong authentication and authorization.

● Improved PostgreSQL with indexes, partitions, query optimization, with reduced query execution time.

● Managed Kubernetes operators and Helm charts to automate rollouts and scaling.

● Configured Prometheus and Grafana for metrics monitoring and implemented Log4j for centralized logging.

● Tuned JVM performance using JFR, VisualVM, and optimized garbage collection (ZGC, G1GC).

● Integrated Hugging Face LLMs using LangChain with Retrieval-Augmented Generation (RAG) into chatbot services for intelligent response generation and document summarization.

● Built end-to-end ML pipelines using AWS Glue, PySpark, and SageMaker for training and deploying NLP models, with Kafka producers/consumers and Redis for streaming and caching.

● Secured and deployed LLM-based microservices on AWS Lambda and Kubernetes (EKS), implementing token-based APIs with Spring Security and AWS Cognito for authenticated chatbot interactions.

● Mentored junior engineers with best practices in software engineering principles and the overall SDLC process. Full Stack Software Engineer May 2019- Nov 2021

Alaska Air- Portland Oregon

● Built and maintained scalable microservices using Java 11, Spring Boot, and Spring WebFlux for real-time pipelines, deployed via Kubernetes and Helm to ensure fault tolerance and high availability.

● Developed customer-facing flight booking and user profile management apps using Angular 11, RxJS, NgRx, and integrated GraphQL for dynamic data handling, enhancing performance and responsiveness.

● Secured RESTful and GraphQL APIs with OAuth2, OIDC, API Gateway, and mTLS, aligning with enterprise-grade security standards and improving trust and access control.

● Designed event-driven workflows leveraging AWS SNS, SQS, Kinesis, and Redis Streams to support real-time notifications and decoupled service communication.

● Created Lambda-based micro functions integrated with S3, DynamoDB, and SQS to handle event processing, automation tasks, and lightweight computation needs.

● Automated CI/CD pipelines using GitHub Actions, Jenkins, and Terraform, accelerating deployments and improving build reliability across dev, staging, and prod environments.

● Optimized backend performance by tuning complex SQL queries in MySQL and PostgreSQL and introduced distributed caching strategies with Redis and AWS ElastiCache.

● Containerized all services with Docker and managed deployments using Kubernetes, implementing Helm charts for configuration consistency and simplified rollouts.

● Led the development of reusable Angular and React component libraries, reduced duplication, and improved design consistency across customer management and internal tools.

● Contributed to AI/ML enablement by building data pipelines and containerized services that supported future LLM integration for customer service and operations.

● Implemented Java features like Streams and Lambda, and applied multithreading, automated infrastructure with Ansible playbooks, monitored logs with Elasticsearch, and ensured end-to-end test coverage with Cypress.

● Built Kafka pipelines for event streaming, managing producers, consumers, and offset handling.

● Used Python scripts for lightweight data prep and operational automation.

● Mentored junior developers, led code reviews, and drove Agile sprint ceremonies, elevating team productivity. Additional Information

PROJECTS

Language Translator

● Built and deployed a GPT-3 + RAG-based translation system on AWS SageMaker, integrating with Java microservices to deliver 63% higher accuracy and 40% lower latency at production scale (1,000+ req/min). Real-Time Chat Application- Kemper Insurance

● Built a scalable chat platform using Spring Boot, WebSocket, Redis, and Angular with user authentication via OAuth2 and role-based access. Deployed using Kubernetes and CI/CD with GitHub Actions. Flight Deal Notification System - Alaska Airlines

● Created a system to fetch flight deals using external APIs, push alerts to users via SNS, and allow subscriptions via a Angular front-end. Backend built on Java, Spring Cloud, and deployed on AWS Lambda Education

Bachelor of Science in Computer Science - Marymount University, Arlington, VA Summa Cum Laude

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