Juan Hormaechea
- Computer Science Student
- Former AI Engineering Intern
- Aspiring ML Engineer
Computer science student at UMass Amherst with a focus on machine learning and Backend Engineering. Experience in applied AI.
At a glance
- Most recently
- AI engineering intern at Konecta, benchmarking retrieval systems
- Graduating
- May 2028 · UMass Amherst
- Open to
- ML, Applied AI and Backend SWE internships
Experience
AI Engineering Intern · Konecta
Summer 2026
- Architected a Python evaluation pipeline to benchmark retrieval quality, latency and token cost across 5 state-of-the-art Vector, Graph and Agentic RAG technologies on a production BPO dataset.
- Engineered a multi-step agentic RAG workflow using LangGraph and LiteLLM with dynamic query routing to analyze the trade-offs in retrieval metrics for Agentic RAG.
- Synthesized latency-vs-accuracy trade-offs and token cost projections across 6 distinct query types and 5 chunking strategies.
- Delivered architectural recommendations that showed a 12% increase in retrieval quality for Graph RAG with respect to Vector RAG.
Skills
Programming Languages
- Python
- TypeScript
- C
- C++
- Java
AI & Machine Learning
- PyTorch
- Scikit-Learn
- LangGraph
- LangChain
- Qdrant
- Claude Code
Web & Backend
- Node.js
- Express.js
- React
- FastAPI
- PostgreSQL
- MongoDB
Spoken Languages
- Spanish (native)
- English (proficient)
Education
University of Massachusetts Amherst
Expected graduation: May 2028
B.S. in Computer Science
Manning College of Information and Computer Sciences
Relevant coursework
- Computer Systems Principles (C/POSIX)
- Data Structures and Algorithms
- Linear Algebra
- Multivariate Calculus
- Probability Theory
- Web Programming
- Intro to Machine Learning
Contact
Open to machine learning, applied AI and backend SWE internships, and always happy to talk about tech. The fastest way to reach me is email.
chilohc97@gmail.com