A motivated Software Engineering student passionate about building reliable and scalable software. I have hands-on experience in DevOps, AI-assisted development, and team-based software engineering.
current_focus:
work: "DevOps for Autonomous Vehicles at Formula Student
activities:
- Automating CI/CD pipelines
- Managing AWS infrastructure
- Building scalable systems
learning:
- Advanced Kubernetes
- MLOps
- System Design
interests:
- AI developer tools
- Open-source DevOps utilities
- Linux productivity projects
achievements:
- "Finalist at OpenEuler Challenge Week Hackathon 2025"
Role: DevOps Engineer for Autonomous Racing Team
Responsibilities:
- 🚀 CI/CD Pipeline Development: Design and implement automated build, test, and deployment workflows using GitLab CI, Docker, and Bash scripting to accelerate development cycles
- 🧪 Test Automation: Develop comprehensive test automation frameworks and deployment workflows to ensure code quality and system reliability
- ☁️ AWS Infrastructure Management: Manage and optimize AWS infrastructure for real-time telemetry systems, ensuring high availability and performance
- 📊 Pydantic Schema Development: Design and implement Pydantic schemas for cloud API optimization, improving data validation and system efficiency
- 🤝 Cross-Functional Collaboration: Work closely with perception, control, and software teams to integrate DevOps best practices across the autonomous vehicle development pipeline
- 📡 Real-Time Telemetry Deployment: Deploy and maintain real-time telemetry systems for race car performance monitoring and data analysis
- 🔧 CI Support for Perception & Control: Provide continuous integration support for perception and control systems, enabling rapid iteration and testing of autonomous driving algorithms
Ask me about: CI/CD • Docker • Python/Java Development • REST APIs • Linux/Unix • AI Integration • Autonomous Vehicle DevOps
Open to collaborate on: AI developer tools • DevOps utilities • Open-source projects
💡 "Building the future, one commit at a time"
