π» Computer Science Engineer βοΈ Backend & Full Stack Developer βοΈ Cloud & Data Systems Enthusiast
I build scalable backend services, cloud-ready applications, and data-driven systems with a focus on real-world engineering.
- π B.Tech in Computer Science (AI & ML)
- π Incoming MSc in Data Science & Analytics
- π― Interested in Backend Engineering, Full Stack Development, Cloud Systems, and Data-driven Applications
- π Interested in building technology for global users and pursuing engineering opportunities in Japan
- π―π΅ Japanese Level: JLPT N3
I enjoy working on projects that combine:
- Backend Engineering
- Full Stack Development
- Recommendation Systems
- Real-world Problem Solving
- Building production-style full stack applications
- Designing scalable backend architectures
- Cloud deployment and infrastructure fundamentals
- Recommendation systems and intelligent applications
- Distributed data workflows
AI-powered backend system built with FastAPI and PostgreSQL.
- JWT Authentication
- Marketplace APIs
- AI Recommendation System
- Scalable Backend Architecture
Hybrid recommendation system combining collaborative and content-based filtering.
- TF-IDF + Cosine Similarity
- SVD Matrix Factorization
- Hybrid Ranking System
π Marketplace Recommendation Engine
End-to-end analytics project with interactive dashboard.
- Data Cleaning & EDA
- Feature Engineering
- Streamlit Dashboard
- Python
- SQL
- Java
- JavaScript
- TypeScript (Learning)
- FastAPI
- REST APIs
- JWT Authentication
- Pandas
- NumPy
- Scikit-learn
- NetworkX
- PostgreSQL
- BigQuery
- Docker
- Linux
- Git
- GitHub
- AWS (Learning)
- React (Learning)
- Streamlit
- React + TypeScript
- Cloud Deployment
- DevOps Practices
- Scalable Backend Systems
- Recommendation Systems at Scale
GitHub: https://github.com/premnadh
Email: gajulapremnadh123@gmail.com
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