Full-Stack Software Engineer with Cloud & Microservices

Yeshaswini Teella

*******************@*****.*** +1-214-***-**** USA LinkedIn GitHub

Professional Summary

Software Engineer with 3+ years of experience building scalable and secure applications across trading analytics, fraud systems, and e- commerce platforms. I’ve worked with technologies like React, Java, and Spring Boot to develop both frontend and backend solutions, focusing on performance and reliability. My experience includes working with microservices, handling real-time data, and optimizing system performance for high-volume applications. I’ve also worked with AWS, Docker, and Kubernetes to build and deploy applications in cloud environments, along with implementing secure and reliable APIs. Technical Skills

Languages: JavaScript (ES6+), TypeScript, Java, Python, SQL, HTML5, CSS3

Frontend: React.js (Hooks, Redux), TypeScript, Next.js, Responsive Web Design, Tailwind CSS, Bootstrap

Backend & APIs: Node.js, Express.js, Spring Boot, RESTful APIs, Microservices, API Design, JWT, OAuth2

AI & Data (Basic Exposure): LLM Integration (OpenAI APIs), Prompt Engineering, Python Data Processing

Databases: PostgreSQL, MySQL, MongoDB, Redis

Cloud & DevOps: AWS (EC2, S3, RDS, Lambda), Azure, Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions)

Tools: Maven, Swagger, Postman, Kafka, JUnit, Mockito

Monitoring & Collaboration: Splunk, ELK Stack, Prometheus, Grafana, ServiceNow, Jira, Agile/Scrum Professional Experience

Software Engineer, Barclays Jun 2024 – Present New York, USA

Engineered high-performance React dashboards for portfolio risk analytics using modular components and real-time streaming patterns, enabling dynamic visualization across multi-asset classes including equities, bonds, and derivatives.

Optimized frontend rendering performance using memoization strategies, lazy loading, and state management improvements, increasing UI responsiveness and reducing latency by 21% under high-frequency data conditions.

Developed end-to-end features by integrating React frontend applications with backend services, enabling seamless real-time portfolio updates and improving data synchronization across distributed systems.

Enhanced system scalability by implementing event-driven communication patterns, ensuring reliable processing of high-volume financial data and maintaining performance during peak trading cycles.

Designed and architected backend services using Spring Boot for automated portfolio rebalancing, enforcing business rules, secure data handling, and regulatory compliance across financial systems.

Containerized and deployed microservices using Docker and cloud-native practices on AWS, improving deployment efficiency and reducing infrastructure overhead by 17% during critical trading windows.

Explored AI-assisted data analysis using LLM APIs to enhance portfolio insights and support faster decision-making for internal users. Software Engineer, Discover Financial Services Jan 2023 - Aug 2023 Dallas, USA

Developed React.js modules with TypeScript for dispute case initiation, building reusable form controls, guarded routes, and observable- driven data streams, enabling secure interactions for verified cardholders during fraud investigations.

Implemented Node.js/Express services integrating JWT-secured endpoints, JPA/ORM-based database workflows, and fraud-scoring API caching, automating dispute creation and reducing repeated authentication lookups by 14%.

Optimized batch-triggered fraud rules using Node.js scheduled jobs, de-duplicating flagged transactions and improving processing efficiency by 29%.

Collaborated in Agile/Scrum teams, translating business requirements into full-stack solutions and ensuring smooth deployment pipelines. Software Engineer, UST Global Apr 2021 - Jun 2022 Hyderabad, India

Developed reusable React.js components with Redux Toolkit for order tracking workflows, improving page responsiveness, implementing error boundary handling, and enabling dynamic data rendering using async query hooks.

Integrated GraphQL with React Apollo for personalized product recommendations, optimizing query fetching, caching policies, and client- state logic while improving page delivery consistency and reducing payload processing overhead.

Conducted UI performance audits with Lighthouse and Web Vitals, minimizing render cycles through memorization, code-splitting, and lazy-loaded routes to streamline high-traffic seasonal sales interactions.

Built Spring Boot microservices for order lifecycle management using JPA, and role-based JWT authorization, ensuring consistent transaction integrity across distributed fulfillment operations.

Implemented Kubernetes-based deployment with Helm charts for frequent incremental releases, achieving a verifiable 17% reduction in release downtime through automated rolling updates and container orchestration. Education

Master of Science, University of North Texas Aug 2022 - May 2024 TX, USA Information Technology

Bachelor of Technology, Andhra University Jun 2017 - Aug 2021 AP, India Computer Science and Technology

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