π Student | Backend & AI Developer | Open Source Enthusiast
Hi! I'm a passionate student deeply interested in scalable backend systems, AI model deployment, and building impactful solutions. I love working with cloud-native tech, microservices, and robust developer workflows. Iβm always eager to learn, collaborate, and contribute to open source.
- Description: Microservice-based backend powering the Knowledge Garden app.
- Key Tech: Node.js, TypeScript, PostgreSQL, MongoDB, Elasticsearch, Kafka, Consul, S3 (MinIO/AWS)
- Features: Authentication, resource management, search, file storage, service discovery, event-driven architecture, CI/CD, and strong security/testing.
- Description: Full-stack platform for uploading, deploying, and managing ML models with a clean web UI.
- Key Tech: Python (Flask, FastAPI), JavaScript, HTML/CSS
- Features: Model upload/validation, dynamic deployment, web interface for users, flexible architecture for different ML model types.
- Description: A robust peer-to-peer file sharing system built in C++ that enables users to seamlessly share files directly, without the need for centralized servers.
- Key Tech: C++, Shell scripting
- Features: Decentralized file transfer, efficient peer discovery, privacy-focused sharing, cross-platform compatibility, and scalable architecture for reliable data exchange.
- Backend: Node.js, TypeScript, Express, Python (Flask, FastAPI)
- Databases: PostgreSQL, MongoDB
- DevOps/Infra: Docker, Kafka, Consul, S3, CI/CD, GitHub Actions
- Frontend: JavaScript, HTML, CSS
- Other: Microservices, event-driven systems, automated testing, security best practices
Iβm proud to contribute to the open source community! Here are a few highlights: