David Delgado

MACHINE LEARNING | AI | DATA Science

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Projects

Selected ML/AI work — deployed demos, notebooks, and write-ups.

Computer Vision
Demo Code

Project Title 1

One-liner describing the problem, model, and outcome (metrics or business impact).

  • Model: ResNet / ViT / YOLO
  • Dataset: X
  • Result: +12% F1 / 0.93 AUC
NLP
Write-up Code

Project Title 2

Short description + what’s unique (data pipeline, evaluation, deployment, etc.).

  • Model: Transformer / LLM fine-tune
  • Tools: Hugging Face, MLflow
  • Deployed: Docker + Cloud
Time Series
Dashboard Code

Project Title 3

Forecasting / anomaly detection / causal inference — highlight the story.

  • Model: XGBoost / LSTM
  • Feature eng: calendar + lag
  • Monitoring: drift checks

Skills

A snapshot of what I use to build models and ship them.

ML / AI

Supervised Learning Deep Learning NLP Computer Vision Time Series Experiment Design

Engineering

Python FastAPI Docker Git CI/CD Testing

Data

Pandas SQL Feature Engineering MLflow Dashboards

About

Write 3–6 sentences: who you are, what you build, and what you’re aiming for.

Optional: add a short “what I care about” line (reliability, interpretability, impact, etc.).

Highlights

  • 1–2 lines about your current role or focus
  • Domains you like (biotech, trading, robotics, etc.)
  • Links: GitHub, LinkedIn, Resume

Now

What I’m currently working on / learning (keeps the site alive).

Current Project

Example: building a sleep-score prediction model using personal data and MLOps.

Learning

Example: improving ML systems design, data pipelines, and evaluation workflows.

Open to

Example: collaboration, speaking, or ML engineering roles in X domain.

Contact

Best way to reach me:

dave.del.developer@gmail.com GitHub LinkedIn