I am a Computer Science grad student from University of Texas at Arlington with a keen interest in Software Engineering, Data Science and Machine Learning. I thrive on solving complex problems and creating innovative solutions. I am passionate about building scalable systems which
I'm a software developer passionate about building integrated platforms that combine robust backend design and intuitive front-end experiences.
My journey includes impactful internships at Paycom and Cosups, where I built scalable web and mobile solutions with a strong focus on usability, automation, and performance.
I’m particularly interested in cloud-based architectures, microservices, and intelligent applications powered by AI.
Languages: Java, Python, C, TypeScript, C#
Frameworks & Tools: React, Node.js, Next.js, .NET Core, Spring Boot, Docker, Streamlit
Cloud: AWS, GCP
Databases: MySQL, MongoDB, PostgreSQL
Testing: Selenium, Jest, JUnit
Dev Tools: GitHub, Jenkins, JIRA, Postman, Confluence
Specialties: REST APIs, Microservices, CI/CD, Full-Stack Web Development, Cloud Deployment
- Built a configuration-driven portal for dynamic form rendering using React and .NET Core.
- Eliminated hardcoded UI by developing a JSON-based form renderer, improving scalability and speed.
- Designed RESTful APIs and used React Context API for global state management.
- Delivered an admin interface for configuration management and version control.
- Contributed to reducing form development time across enterprise teams.
- Managed onboarding of Windows/macOS devices using Microsoft Intune and Autopilot.
- Streamlined compliance tracking and documentation across IT policies and device deployment.
- Supported automated provisioning for faculty and staff systems.
- Designed and launched an event management app with Java, Android Studio, and SQL.
- Delivered complete app lifecycle from UI/UX design to deployment.
- Improved client satisfaction by 30% through enhanced usability and reliability.
Microservices-based healthcare backend using Spring Boot, Kafka, gRPC, and Docker.
Integrated AWS CDK infrastructure and end-to-end testing for scalable deployment.
Built a personalized meal planner with Google Gemini API.
Backend with JWT authentication, JUnit/Selenium tests, and deployment on Railway + Vercel + Supabase.
Developed a cloud ETL pipeline using GCP to analyze Spotify user data via Streamlit dashboard.
Provided actionable insights on listening patterns and genre preferences.
- 🧠 Generative AI integration with modern web apps
- ☁️ Serverless & containerized architectures on AWS
- 🧰 Automation and CI/CD pipelines
- ✉️ phanitejau@gmail.com
- 💻 GitHub
⭐️ “Building products that connect design, functionality, and intelligence.”
