Vishweshwar Reddy Cheerla Full Stack Developer
************************@*****.*** 928-***-**** USA LinkedIn Summary
Full Stack Developer with 4+ years of experience designing, developing, and deploying scalable web applications and cloud solutions. Skilled in Java, Spring Boot, React, Node.js, Python, and microservices architecture. Experienced in cloud platforms, DevOps, databases, AI/ML, and emerging technologies, delivering high-performance, secure, and modern software solutions in dynamic environments. Technical Skills
• Programming & Backend Development: Java, Spring Boot, Hibernate, Spring MVC, Spring Data JPA, C#, Python, Flask, Django, FastAPI, Node.js, Express.js, TypeScript, REST APIs, GraphQL, Microservices
• Frontend & UI/UX Development: React.js, Redux, React Router, Next.js, HTML5, CSS3, Bootstrap, Tailwind CSS, Material UI, Chakra UI, Dynamic Dashboards, Interactive Charts, Responsive Design, Component Libraries, UI/UX Best Practices
• Cloud Platforms & DevOps: AWS (EC2, S3, Lambda, Kinesis, DynamoDB, EKS, CodePipeline, CodeBuild, CloudWatch, Comprehend, Amazon Titan), Azure (Azure SQL, AKS, Event Hub), GCP (GCS, Firebase Hosting), Docker, Kubernetes, Helm, Terraform, Serverless Architecture, CI/CD Pipelines
• Testing, Code Quality & Automation: JUnit, xUnit, NUnit, Mockito, Moq, Jest, Mocha, Cypress, Supertest, Selenium, Test-Driven Development (TDD), Behavior-Driven Development (BDD), Swagger/OpenAPI, SonarQube, Automated Deployments
• Databases, Caching, Analytics & Security: PostgreSQL, MySQL, MS SQL Server, MongoDB, Cassandra, Firebase, Redis, Snowflake, Database Indexing, Query Optimization, Schema Design, Data Modeling, Analytics Dashboards, ETL Pipelines, Data Warehousing, JWT, OAuth2, OpenID Connect, Secure API Gateways, API Versioning, RBAC, SSL/TLS, CORS, PCI DSS, ISO 27001, SOC 2, GDPR
• AI & Machine Learning: Machine Learning (scikit-learn, TensorFlow, PyTorch, Keras), NLP (BERT, spaCy, NLTK, Hugging Face Transformers), Generative AI (OpenAI GPT, Amazon Titan), Feature Engineering, Predictive Analytics, Model Deployment, Agentic AI, Autonomous AI Agents, Blockchain, Cloud- native Design, Edge Computing, AI-powered Analytics, Serverless Architecture Professional Experience
Full Stack Java Developer – (Gen AI), Brex Inc. 02/2024 – Present Remote, USA
• Engineered an AI-powered Transaction Intelligence Platform using Java Spring Boot and React, embedding a Generative AI model for predictive fraud analysis, enhancing anomaly detection accuracy by 12% and enabling merchants to proactively manage transaction risk.
• Orchestrated Spring Boot microservices for subscription billing, payment reconciliation, and dispute workflows, integrating Kafka, AWS SQS, and event- driven architecture, improving API response time by 10% and maintaining secure, scalable payment operations.
• Leveraged a Generative AI model within backend services to generate actionable fraud insights, automate risk evaluation, and provide predictive alerts, increasing dispute resolution efficiency by 8% and supporting real-time merchant decision-making.
• Crafted AI-enhanced React dashboards with dynamic visualizations, predictive alerts, and interactive analytics, enabling merchants to monitor fraud trends and transaction KPIs, increasing dashboard engagement and usability by 9%, improving operational visibility.
• Optimized PostgreSQL and DynamoDB database architecture, implementing indexing, caching, encryption, and Spring Security–based authentication and role-based access, improving query performance by 7% while ensuring PCI DSS compliance and robust data protection.
• Automated unit testing with JUnit and Mockito, integration testing, integrated CI/CD pipelines using GitHub Actions, SonarQube, AWS CodePipeline, and collaborated closely with DevOps to deploy Spring Boot services on AWS EKS using Docker and Helm, reducing deployment errors by 6%. Java Developer, Shopify Commerce India Private Limited 06/2021 – 08/2023 Hyderabad, India
• Developed Shopify Merchant Admin and Storefront Management products using Java, Spring Boot, React.js, and REST APIs, enabling merchant onboarding, product catalogs, and order workflows, improving operational efficiency and platform reliability by 12% globally.
• Designed scalable backend microservices with Spring Boot, Spring MVC, Spring Data JPA, and Hibernate, delivering secure checkout, inventory, and order services with clean architecture, maintainability, logging, and performance improvements globally across commerce platforms.
• Implemented secure RESTful APIs integrating JWT authentication, OAuth 2.0, RBAC, validation, and API gateways, reducing authorization issues, strengthening data protection, documenting endpoints with Swagger, and supporting cross team integration efficiency across engineering teams.
• Optimized PostgreSQL and MongoDB databases through schema design, indexing, caching, query tuning, and encryption strategies, enforcing access controls and data security standards while improving transactional consistency, reporting accuracy, and data retrieval performance by 18%.
• Built event driven microservices using Apache Kafka for order lifecycle, inventory synchronization, and merchant notifications, enabling asynchronous processing, fault tolerance, and reliable handling of peak traffic across distributed commerce systems in global production.
• Engineered a responsive frontend feature with React.js, Redux, HTML5, and CSS3, integrating Spring Boot APIs to deliver accessible dashboards, dynamic forms, and real time visualizations improving merchant usability by 14% across web commerce applications.
• Implemented unit and integration testing using JUnit, Mockito, and Spring Test, then maintained CI/CD pipelines with Jenkins and GitHub Actions, collaborating with DevOps on Docker, Kubernetes, monitoring, and deployments improving stability by 10%. Education
Master of Science in Information Technology 08/2023 – 12/2024 Northern Arizona University, Flagstaff, AZ, USA
Bachelor of Science in Computer Science 08/2019 – 08/2023 Lovely Professional University, Punjab, India