FedericoTafur.

Federico Tafur

AI/ML Engineer & Data Scientist

Federico Tafur portrait

About Me

I’m an AI/ML Engineer & Data Scientist passionate about the intersection of computer science, finance, and data-driven systems. I love translating complex problems into elegant, production-ready solutions that create real-world meaning.

Recently, I built Chronos, an ML-driven trading algorithm focused on signal generation, risk-aware execution, and robust evaluation. Chronos combines feature engineering, modern model architectures, and careful validation to turn market structure into actionable strategies.

Beyond individual projects, I’m driven by entrepreneurship—bootstrapping products that feel revolutionary: useful, fast, and trustworthy. I enjoy the full stack of building from research to deployment: experiment design, modeling, API/product integration, and iteration with users.

Before tech, I pursued sports at an elite level: I played professional first-division soccer in Costa Rica and later moved to the United States to compete in NCAA Division I college soccer. That background shaped my commitment to discipline, teamwork, and performance under pressure—values I bring to every build.

Projects & Experience

Selected projects and experience across AI/ML, data, and product.

Chronos — ML Trading System

GitHub

Ensemble-driven trading engine with 200+ engineered features, risk-aware execution, and real-time decisioning. Backtesting, monitoring, and Dockerized deployment.

Oaklet

AI‑native healthcare platform where intelligent agents power an EHR, documentation, treatment planning, billing, and analytics. As Founder & Lead Engineer, I led product and architecture: multi‑agent orchestration, secure data ingestion and RAG, HIPAA‑aligned practices, ISO‑style controls, and a Next.js + FastAPI stack deployed to cloud infrastructure with real‑time telemetry.

Nexus Research Paper

Read

Research on a modular AI systems framework—Nexus—for composing agents, retrieval, and control layers into reliable end‑to‑end workflows. Covers design principles, evaluation methodology, and practical deployments across finance and healthcare.

Experience Timeline

Software Engineer (Lead Developer) — NexaDev Software Solutions

Feb 2024 – Present · San José, Costa Rica · AI career‑matching platform; full SDLC, data pipelines

Software Engineer (AI/ML Engineer) — Oaklet

Mar 2025 – Sep 2025 · Remote · Architected AI‑native EHR; multi‑agent platform and SLOs

Software Engineering Intern — TIMS International

May 2024 – Aug 2024 · San José, Costa Rica · Optimized C/C++/Python; 20+ APIs

Varsity Soccer Student‑Athlete — Virginia Tech & UCF (NCAA Division I)

Jun 2022 – May 2024 · Blacksburg, VA & Orlando, FL · Leadership and high‑performance teamwork

Technical Skills & Stack

Languages

Python
Python
TypeScript
TypeScript
JavaScript
JavaScript
SQL
SQL
C++
C++

Frameworks & Libraries

React
React
Next.js
Next.js
Vue.js
Vue.js
Node.js
Node.js
FastAPI
FastAPI

Tools & DevOps

Git
Git
GitHub
GitHub
CI/CD
CI/CD
VS Code
VS Code
Postman
Postman

AI/ML & Data Science

GPT-4
GPT-4
LangChain
LangChain
Bedrock
Bedrock
PyTorch
PyTorch
TensorFlow
TensorFlow
Pandas
Pandas
NumPy
NumPy
Scikit-learn
Scikit-learn

Cloud & Infrastructure

AWS
AWS
Docker
Docker
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
MongoDB
MongoDB
DynamoDB
DynamoDB
S3
S3