AI and Full-Stack Engineer building production systems across machine learning, backend, and web.

I build end-to-end systems that combine application engineering with applied machine learning. My work focuses on reliability, performance, and deploying systems that operate effectively in real-world conditions.

I am particularly interested in AI-native systems where language models move from assisting development to executing meaningful parts of workflows.

Real-time computer vision system designed to detect camera tampering such as blur, glare, and replay attacks.
Built a full pipeline including detection, backend services, and a real-time monitoring dashboard with low-latency processing.

Tech: Python, OpenCV, Flask, Socket.IO
Link: https://github.com/

End-to-end system that converts natural language queries into validated SQL and executes analytical workflows.
Includes schema-aware retrieval, validation loops, and structured output generation.

Tech: Python, FastAPI, SQL, FAISS, LLMs
Link: https://github.com/

Semantic search and graph-based exploration system for interactive content discovery with optimized query performance.

Tech: Next.js, FastAPI, Pinecone, Redis
Link: https://github.com/

Production website developed for a non-profit organization with focus on accessibility, performance, and responsive design.

Link: https://www.adaptivegolfalliance.com/

Languages: Python, JavaScript, SQL
Frontend: React, Next.js, Tailwind CSS
Backend: Node.js, Express, FastAPI
AI/ML: PyTorch, Scikit-learn, OpenCV
Infrastructure: Docker, CI/CD, PostgreSQL, MongoDB, Redis

Portfolio: https://mjenius.github.io/Portfolio/
GitHub: https://github.com/MJenius
LinkedIn: https://www.linkedin.com/in/mevin-jose/
LeetCode: https://leetcode.com/u/mjenius1357/

Building AI-native systems that integrate machine learning into production software with strong emphasis on system design, performance, and reliability.