San Jose, California, United States
Graduate in Information Technology with a Master’s degree from Arizona State University. Passionate Software Engineer with experience building scalable backend systems, full-stack web applications, and cloud-native solutions. Strong foundation in distributed systems, API development, databases, and modern software engineering practices. Dynamic, self-driven, proactive, and quick learner with a passion for solving complex engineering problems and delivering high-quality software. Demonstrates a can-do attitude and embraces new technologies, including AI-assisted development, with enthusiasm. Skill Set: Programming: TypeScript, JavaScript, Go, Python, SQL, HTML, CSS Backend & Full Stack: Node.js, Express.js, Next.js, React, tRPC, REST APIs, Prisma ORM Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis Cloud & DevOps: AWS (S3, RDS, Lambda), Docker, GitHub Actions, CI/CD Tools & Technologies: Git, GitHub, Postman, VS Code, Jupyter Notebook, Claude Code, Cursor, Generative AI, Large Language Models You can explore my projects on GitHub by visiting: https://github.com/ganavihemachandra Additionally, I am actively seeking full-time Software Engineer, Backend Engineer, or Full-Stack Engineer opportunities. Feel free to reach out at [email protected].
• Developed and maintained scalable backend services using Node.js, TypeScript, tRPC, Prisma ORM, PostgreSQL, and Redis, powering customer, driver, and admin applications. • Built end-to-end features including payment processing, refunds, wallet management, role-based access control (RBAC), and order lifecycle workflows, integrating Stripe APIs. • Designed and optimized APIs, database queries, and Redis caching to improve application performance, scalability, and reliability. • Implemented analytics dashboards, operational reporting, and administrative tools for pricing, driver management, notifications, and platform configuration. • Enhanced engineering productivity by contributing to automated testing and CI/CD pipelines with GitHub Actions and Docker, while leveraging AI-assisted development tools such as Claude Code and Cursor.