MS in Artificial Intelligence @ DePaul (GPA 3.8). I build end‑to‑end ML solutions — from data pipelines and model training to deployment, monitoring, and iteration.
What I bring to an AI team.
I work at the intersection of machine learning, software engineering, and cloud infrastructure — turning research ideas into reliable, production‑ready systems.
Recent projects include OCR‑driven RAG workflows at Aries View Inc., human activity recognition research at DePaul University, and custom vision‑language models for cross‑modal retrieval.
Where I've applied this in practice.
A sample of recent work.
Built custom Vision and Text Transformers from scratch for cross‑modal retrieval between product images and descriptions. Implemented contrastive learning for image‑text matching.
Developed autonomous NLP system with vector‑based knowledge retrieval using RAG architecture. Implemented LangGraph for agentic workflows and ChromaDB for semantic search.
Research project using time‑series analysis and deep learning to classify activities from wearable sensors. Developed novel interpolation techniques improving accuracy by 14%.
End‑to‑end sentiment analysis with BERT‑based models, extensive preprocessing, and comprehensive evaluation. Extended with NER and topic modeling capabilities.
Academic context and credentials.
Let's connect.
I'm currently open to full‑time opportunities in AI/ML Engineering, Research, and Data Science roles. For collaborations or research‑driven projects, email is best.