B.Tech Electrical & Computer Engineering (2028)
College of Engineering Trivandrum
Focused on Machine Learning Engineering, backend systems, and secure AI infrastructure.
I build ML-driven systems with emphasis on:
- Reproducibility
- Data leakage prevention
- Secure execution environments
- Measurable evaluation against strong baselines
- Production-oriented backend design
Currently building DevPulse — a containerized code health and ML-based risk forecasting platform.
Long-term goal: ML systems engineering at scale.
Containerized repository analysis system that computes a composite Code Health Score using:
- Static analysis (Pylint, Radon, CLOC)
- AI-generated code probability scoring
- Historical risk prediction (scikit-learn)
- Async FastAPI backend
- Docker-based isolation for untrusted code
CO₂ emissions estimation system with:
- Time-based train/test split
- Strict feature leakage prevention
- Physics-inspired baseline model
- ML comparison after baseline validation
- Reproducible data engineering pipeline
Full-stack AI-integrated education platform with:
- Secure authentication (SHA-256 + salt)
- LLM-powered assistance
- GPA-based personalization
- Backend + database architecture
Languages: Python, C, JavaScript
Backend: FastAPI, REST APIs, Async pipelines
ML: scikit-learn, evaluation pipelines, LLM integration
Databases: PostgreSQL, MySQL
Frontend: React, Tailwind
Infrastructure: Docker, Git
Email: devikasajeesh26@gmail.com
GitHub: https://github.com/Devika-Sajeesh
LinkedIn: https://www.linkedin.com/in/devika-jayalakshmi-sajeesh
LeetCode: https://leetcode.com/u/devikasajeesh/