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luis-ntonio/README.md

Hi, I'm Luis Gutierrez

AI/LLM Engineer | NAACL 2025 Published Researcher

Computer Science graduate from UTEC, building production AI at the intersection of LLMs, RAG, and agentic systems. I co-authored a paper accepted at NAACL 2025 (Industry Track) on LLM fine-tuning for text generation, and I like taking AI features end to end, from prototyping to reliable deployment on AWS and GCP.

Peru. Open to remote AI/LLM Engineering roles. LinkedIn, or by email at luis.gutierrez.g@utec.edu.pe.

What I work on

LLM applications. Building with LLM APIs (OpenAI, Anthropic, Gemini) and fine-tuning open models (Llama 2, Mistral, StructLM).

RAG systems. Retrieval, chunking, embeddings, re-ranking and evaluation.

Agentic and multimodal workflows. LLM + computer vision pipelines, tool use, routing and orchestration.

Backend and cloud. Python/Node.js REST APIs, webhooks, JWT auth, Docker, AWS and GCP serverless (Lambda / Cloud Run).

Featured work

eC-Tab2Text. Aspect-based text generation from e-commerce product tables. Fine-tuning of Llama 2, Mistral and StructLM, evaluated with Table2Text metrics plus correctness, faithfulness and fluency. Published at NAACL 2025 (Industry Track).

Match_Prediction. Hierarchical Bayesian model (MCMC) combined with XGBoost to predict match outcomes, with probability calibration and a season-by-season walk-forward backtest.

SkillLab, Platanus Hack 2025. Sports-clip analysis app that splits video into chunks and runs per-chunk LLM and computer-vision analysis to surface technical/tactical insights. Python (FastAPI) backend on AWS, React + Vite frontend.

Invoice Automation. Ingests PDF/XML invoices from email via webhook, extracts and classifies fields, and exports grouped archives. Node.js + TypeScript REST API on GCP Cloud Run and Firestore.

Phonance. Personal finance mobile app live on the Google Play Store. Flutter app with automatic transaction capture, serverless backend on GCP (Cloud Run, Firestore, API Gateway) with JWT auth.

7H2 Hackathon Winner. Real-time VALORANT virtual coach agent that analyzes gameplay frame by frame with Gemini and returns round-by-round, actionable feedback.

Hackathon RIMAC 2024 Winner, Data Challenge. Data-driven solution for well-being, built and pivoted under a tight deadline.

Tech stack

Languages. Python, TypeScript, SQL, Dart, C/C++.

AI/LLM. LLM APIs (OpenAI, Anthropic, Gemini), LLM fine-tuning, RAG, LangChain, embeddings, prompt engineering, LLM + computer vision.

Cloud and MLOps. AWS (Lambda, Amplify), GCP (Cloud Run, Firestore, API Gateway), Azure (Data Factory, Databricks, Data Lake), Docker, Git.

Backend and web. FastAPI, Node.js, REST APIs, webhooks, JWT, React, Next.js, Vue.js.

Experience highlights

Software Engineer, Belcorp. Leading the migration of an enterprise chatbot for 16 LatAm markets to a fully agentic architecture.

Software Engineering Trainee, Belcorp. Internal full-stack tools and a demand-forecasting pipeline.

ML Engineer, Amber. RAG pipeline in production.

Research Assistant, University of Alberta. Data pipelines for LLM training, published at NAACL 2025.

Data Engineer Intern, Pacifico Seguros. Azure Data Factory, Databricks, Power BI.

Let's connect

LinkedIn, or by email at luis.gutierrez.g@utec.edu.pe

Pinned Loading

  1. eC-Tab2Text eC-Tab2Text Public

    LLM fine-tuning for aspect-based text generation from e-commerce product tables (Llama 2, Mistral, StructLM). Published at NAACL 2025 (Industry Track).

    Jupyter Notebook 1

  2. Datathon-rimac Datathon-rimac Public

    🏆 Hackathon RIMAC 2024 winner (Data Challenge): data-driven solution for well-being. Python, Docker & docker-compose.

    Jupyter Notebook

  3. Alupar-invoice-automation Alupar-invoice-automation Public

    Invoice automation: ingests PDF/XML invoices from email via webhook, extracts & classifies fields, and exports grouped ZIPs. Node.js + TypeScript REST API on GCP Cloud Run + Firestore.

    TypeScript

  4. Match_Prediction Match_Prediction Public

    MCMC (Bayesian) + XGBoost pipeline to predict football match outcomes, with probability calibration and walk-forward backtesting.

    Python