Sapana Subedi
Full Stack Developer |- - | linkedin.com/in/sapanasubedi
PROFESSIONAL SUMMARY
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Full Stack Engineer with 7+ years of experience developing scalable, high-performance web applications in healthcare, ecommerce, and finance industries.
Expertise in front-end development using React, Vue.js, and Next.js, and back-end architecture with Node.js, Express,
MongoDB and microservices.
Skilled in application security with JWT and OAuth, cloud computing on AWS, Azure, and Digital Ocean, and containerization
with Docker and Kubernetes.
Experienced in real-time data streaming using Kafka and database optimization with SQL and NoSQL solutions.
Strong focus on clean code, automation, and Agile development, with proficiency in CI/CD pipelines, JUnit, and Mockito.
Collaborative problem solver with hands-on experience in Git, JIRA, and a passion for building impactful, user-centric
software solutions.
TECHNICAL SKILLS
Programming Languages:
Java, TypeScript, JavaScript (React, Vue.js, Angular), SQL (MySQL)
Frameworks & Libraries:
Database Management and Analytics:
Spring Boot, Spring Cloud, Spring Batch, Apache Spark, React, Next.js, Vue.js, Angular,
D3.js, Highcharts, Plotly, Node.js, Express.js, Redux, Vuex, Svelte SvelteKit
MongoDB, SQL Server, Redis, Memcached, MySQL, ORM
API Development:
RESTful APIs, GraphQL, Flask, FastAPI
Microservices Architecture:
Caching and Optimization:
Design and Implementation with Eureka for service discovery, Netflix OSS for resilience
(Hystrix, Ribbon), and Spring Cloud
Responsive UI Design with React, Next.js, Vue.js, Angular, D3.js, Highcharts, Plotly,
HTML5/ CSS3, JSP, AG Grid,Chart.js
Redis, Ehcache
Testing Methodologies:
Build & Integration Tools:
Test-Driven Development (TDD), Behavior-Driven Development (BDD), JUnit, Mockito
CI/CD Pipelines, Jenkins, GitHub Actions
Real-time Data Processing:
Cloud Technologies:
Apache Kafka, RabbitMQ
Azure, AWS Cloud Technologies, Kubernetes, Docker, Eureka, Netflix OSS
Code Quality & Version Control:
Git, Code Refactoring, JIRA
Project Management & Collaboration:
Agile Framework, Sprint Planning
Security and Compliance:
OAuth 2.0, GDPR/CCPA compliance
Front-End Development:
EXPERIENCE
Wells Fargo
Full Stack Developer
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Sep 2023-Present
Burke, VA
Designed and developed the core functionalities of a Financial Risk Management Platform using React, Next.js, Node.js,
Express.js, and MongoDB, ensuring high scalability, modularity, and performance for real-time financial data processing.
Built reusable React components and optimized state management using React Context, Redux Toolkit, and React Query,
improving UI performance and maintainability.
Integrated complex data workflows with AG Grid and Chart.js, enhancing data visualization and analytics.
Implemented real-time data processing pipelines using Apache Kafka, RabbitMQ, and WebSockets, enabling seamless
financial transactions, risk assessments, and analytics.
Developed and optimized secure RESTful APIs and GraphQL endpoints using Node.js, Express.js, and Sequelize
(ORM) with PostgreSQL, ensuring efficient system integration across financial platforms.
Developed risk calculation engines and analytical tools using Spring Batch and JPA, ensuring accurate credit, market, and operational
risk evaluation while optimizing computational performance.
Automated CI/CD pipelines using Jenkins, Docker, and Kubernetes, streamlining software deployment, reducing downtime, and
improving release efficiency by 40%.
Enhanced system performance and response times by implementing advanced caching mechanisms with Redis and Ehcache, improving
efficiency for high-volume financial transactions.
Technologies Used: React, Next.js, TypeScript, Redux Toolkit, React Query, AG Grid, Recharts, Tailwind CSS, Node.js, Express.js,
NestJS, MongoDB, PostgreSQL, GraphQL, Sequelize, Apache Kafka, RabbitMQ, Redis, WebSockets, Docker, Kubernetes, and
Jenkins.
Verisk Analytics
Sep 2021 - Aug 2023
Software Developer
Jersey City, NJ
• Developed and optimized scalable data processing pipelines using Node.js, Express.js, and Apache Spark, enabling efficient handling
of large proprietary datasets within the Learning Management System (LMS) for real-time course and student data tracking.
• Designed and implemented an interactive dashboard using React, Redux, React Router, React Query, Highcharts, and D3.js,
allowing educators and administrators to visualize student performance, course progress, and engagement metrics effectively.
• Built and integrated RESTful APIs and GraphQL endpoints using Node.js, Express.js, and Sequelize (ORM) with
MongoDB and PostgreSQL, facilitating seamless data exchange between the LMS and external learning platforms.
• Designed and integrated ORM-based database management using Sequelize and Mongoose, optimizing query performance and
improving database efficiency.
• Implemented message-driven architecture with Apache Kafka and RabbitMQ, ensuring reliable event-driven data processing for
student interactions and real-time learning activity tracking.
• Optimized LMS performance by integrating Redis and Ehcache for caching, reducing latency in data retrieval and improving system
response times.
• Automated CI/CD pipelines using Jenkins and GitHub Actions, deploying containerized applications with Docker and Kubernetes,
ensuring seamless application updates and scalable cloud deployment.
• Automated containerized deployments with Docker and Kubernetes, enabling zero-downtime deployments through CI/CD
pipelines in Azure DevOps and GitHub Actions.
Technologies Used: React, Redux, React Router, React Query, Highcharts, D3.js, Node.js, Express.js, GraphQL, Sequelize,
Mongoose, MongoDB, PostgreSQL, Apache Spark, Apache Kafka, RabbitMQ, Redis, Memcached, WebSockets, Docker,
Kubernetes, Jenkins, GitHub Actions, JIRA, Azure DevOps.
Verscend Technologies
Sep 2019 - Aug 2021
Software Developer
Kathmandu, Nepal
• Engineered backend services using Node.js and Express.js to effectively manage large-scale healthcare data processing, ensuring high
performance, scalability, and availability.
• Developed comprehensive RESTful APIs to facilitate seamless data ingestion and integration between external healthcare systems and
internal platforms, ensuring consistent and reliable data flow.
• Designed and implemented real-time data processing and analytics pipelines using Apache Kafka and MongoDB, enabling faster and
more accurate healthcare data analysis for predictive modeling and improved decision-making.
• Optimized database operations by fine-tuning queries in MongoDB, enhancing performance and ensuring efficient handling of complex
healthcare datasets.
• Architected and deployed an intuitive healthcare analytics dashboard using React, TypeScript, and D3.js, enabling users to
visualize key healthcare metrics and derive actionable insights from patient data.
• Integrated advanced frontend technologies such as Redux for state management, React Router for navigation, and Axios for
seamless API communication, ensuring a dynamic and responsive user interface for healthcare professionals.
• Implemented a robust user authentication and authorization system using OAuth 2.0, ensuring compliance with stringent healthcare data
privacy regulations, such as HIPAA, and safeguarding sensitive patient information.
• Optimized healthcare data pipelines with Apache Kafka and MongoDB, reducing data processing latency by 35%, leading to faster
analytics and decision-making for healthcare providers.
• Implemented OAuth 2.0 authentication and HIPAA-compliant security measures, ensuring 100% compliance and reducing
unauthorized access incidents by 40%.
Technologies Used: Node.js, Express.js, MongoDB, Apache Kafka,TypeScript, D3.js, React, Redux, React Router, Axios, OAuth 2.0.
Cedar Gate Technologies
Feb 2018 - Aug 2019
Software Developer
Lalitpur, Nepal
• Designed and developed a healthcare analytics platform using microservices architecture with Node.js, Express.js, and
Docker, enabling independently deployable modules and efficient data processing.
• Built data-intensive user interfaces with React Native, Redux, HTML5, and CSS3, delivering responsive, accessible, and
interactive healthcare data visualizations.
• Leveraged MongoDB for high-volume data management, optimizing the platform to handle large-scale, unstructured data from healthcare
sources efficiently.
• Used Kubernetes for managing containerized applications, ensuring scalability, fault tolerance, and seamless deployment across cloud
environments.
• Enhanced platform reliability with automated testing using Jest, Cypress, and PyTest, along with CI/CD pipeline automation via
Jenkins and GitHub Actions for streamlined deployments.
• Actively contributed to system architecture and design discussions, ensuring alignment with business objectives and
compliance with healthcare data regulations (HIPAA, HL7).
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Collaborated with data science and engineering teams to integrate predictive analytics, enabling data-driven patient care and operational
decision-making.
Implemented Kubernetes-based container orchestration, improving system scalability by 40% and reducing deployment downtime by 50%
through automated CI/CD pipelines.
• Optimized MongoDB queries and enhanced data-intensive UI performance, reducing data retrieval time by 30% and improving
healthcare data visualization efficiency for providers.
• Leveraged SQL Server with Sequelize ORM, optimizing high-volume data operations.
• Automated deployments using Kubernetes, Docker, and Azure DevOps, ensuring efficient release management.
Technologies Used: React Native, Redux, Java, Spring Cloud, MongoDB, HTML5, CSS3, Kubernetes, CI/CD, Docker, Jenkins. RESTful
APIs, GraphQL, D3.js,SCSS, Git, Sequelize ORM, DevOps.
EDUCATION
Asian College of Higher Studies, Tribhuvan University || Bachelors In Computer Science And Information Technology.
