About
Hey, I’m Cohen Gress. I go to school at Penn State and I am majoring in Data Analytics, but I mainly focus on AI/ML application and development. I love to work with retrieval-augmented generation (RAG), embedding/data pipelines, semantic search, and machine-learning predictor systems. I enjoy working on the complete workflow from idea → data → model → deployment, and I optimize for fast, scalable solutions.
- Retrieval-augmented generation (RAG)
- Embedding / data pipelines
- Semantic search
- ML predictor systems (classification, forecasting, ranking)
Outside of projects, I’m into the gym, spending time with friends, going out to eat, and a lot of listening to music. I also picked up reading as a hobby recently—it’s been a great way to unplug and unwind. I’m currently reading Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron, and I’ve been applying the practical patterns to how I build and deploy ML systems.
What I’m good at
- LLM apps (chat, agents) with RAG and evals
- Python, FastAPI, vector DBs, embeddings
- Next.js frontends with Tailwind
- Deploying to Vercel/Railway, handling CORS & envs
- Making complete LLM prediction pipeline workflows
What I’m exploring
- Multi-modal (text+image/audio) retrieval & generation
- Agentic workflows, structured tool-use, eval pipelines
- GPU-optimized LLM serving
Education
Graduated: May 2024
What I’m looking for
Internships where I can work on meaningful AI/ML projects, contribute to real-world applications, and grow my skills in machine learning and AI development.