Senior Frontend/Full-Stack Engineer with React & TypeScript

Sai Teja Gajula

United States +* (***)- ***-**** ***************@*****.*** LinkedIn GitHub Portfolio SUMMARY

Software Engineer with 4+ years of experience building scalable, high-performance web applications using React, Next.js, TypeScript and JavaScript. Skilled in frontend architecture, state management (Redux, Context API), API integration, SSR and performance tuning. Experienced with Node.js, Express, REST, GraphQL, CI/CD pipelines, cloud deployments on AWS, and containerization using Docker. Strong foundation in data structures, algorithms and system design with a proven track record of delivering user-focused features in cross-functional Agile teams.

TECHNICAL SKILLS

Frontend: React, Next.js, TypeScript, JavaScript (ES6+), HTML5, CSS3, Tailwind, Redux, Context API, SSR Backend: Node.js, Express.js, REST APIs, GraphQL, Microservices Databases: PostgreSQL, MySQL, MongoDB, Oracle

Cloud &Devops: AWS (Lambda, S3, EC2, Glue), Azure, Docker, Kubernetes, CI/CD pipelines Testing: Jest, React Testing Library, Cypress, Unit Testing Tools: Git, GitHub, npm, Vite, Webpack

EXPERIENCE

Full Stack Software Engineer June 2021 – July 2023 Accenture Hyderabad, India

• Engineered high-performance web applications using React, Next.js, and TypeScript, improving load speeds and user experience by 30% across core product interfaces.

• Developed and integrated REST and GraphQL APIs using Node.js and Express, reducing data latency by 20% and enhancing real-time responsiveness.

• Built reusable UI component systems and shared libraries, reducing feature delivery time by 20%.

• Optimized SSR and caching workflows, improving hydration performance and reducing render cycles by 30%.

• Collaborated with UX, product, QA, and backend teams to deliver features with 95% sprint predictability and fewer post- release issues.

• Integrated caching layers (Redis) to reduce API load and improve response times.

• Implemented CI/CD pipelines (GitHub, Docker) reducing deployment time by 40% and increasing release reliability.

• Improved code quality with automated unit and integration testing, increasing coverage by 25%. Software Engineer May 2019 – June 2021

HCL Tech Hyderabad, India

• Built responsive and accessible UI components using React and JavaScript, improving usability metrics and accessibility compliance by 20%.

• Developed backend services and REST API integrations with Node.js, Express, improving data processing speed by 25%.

• Refactored legacy codebases into modular, component-driven architectures, reducing technical debt and improving maintainability by 30%.

• Optimized SQL queries and API response flows, enhancing page responsiveness by 25% for high-traffic modules.

• Collaborated with product and QA teams to deliver features with 95% sprint accuracy and reduced production defects. PROJECTS

AI-Powered Resume Analyzer React, Node.js, Express, Python, OpenAI API, PostgreSQL, Docker, AWS Lambda

• Developed an AI-driven resume analysis platform that extracts skills, identifies missing keywords, and generates ATS match scores using OpenAI APIs and Python-based embeddings.

• Built a microservice architecture with Node.js and PostgreSQL to process semantic similarity, improving analysis accuracy and reducing response latency by 40%.

• Integrated serverless functions on AWS Lambda to handle high-volume requests, improving scalability and reducing operational cost.

Real-Time Collaborative Code Editor React, Node.js, WebSockets, Redis, Docker, AWS

• Built a real-time collaborative code editor with multi-user live editing, cursor sharing, and auto-sync features using WebSockets, achieving sub-100ms update latency.

• Implemented CRDT-based conflict resolution to ensure consistent document states during concurrent editing sessions.

• Deployed scalable Node.js servers using Docker and AWS, supporting 1,000+ concurrent collaborative sessions. Team-AI UI React, JavaScript, HTML5, CSS

• Built a responsive front-end application featuring reusable UI components, efficient state management, and clean routing workflows.

• Integrated dynamic data rendering and modular component architecture to enhance UI scalability and maintainability.

• Deployed on GitHub Pages to provide a production-ready, publicly accessible UI experience for recruiters and collaborators.

EDUCATION

University of Central Missouri Grade: 3.5/4.0

Master of Science (MS) in Computer Science June 2025 Gudlavalleru Engineering College Grade: 3.4/4.0

Bachelor of Technology (B. Tech) in Computer Science July 2021

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