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Curriculum Vitae

Full track record — from physics to the classroom to AI products in production.

Experience

  1. 09/2024 — present

    Founder & AI Developer

    ILC-HUB (Integrated Learning Core) — AI-native EdTech platform (RAG + LLMs in production) · Mexico City

    • Built from scratch —and operate in production— a platform that cuts lesson planning from 2–3 weeks to 30–40 minutes per subject.
    • Designed the FastAPI backend (168+ endpoints, priority async queues, JWT) with RAG over curricular documents — the infrastructure that sustains live operation.
    • Versioned the Prompt Engineering system (inheritance, snapshots, Jinja2) so every output is traceable and reproducible.
    • Cut multi-API spend by 30% with per-provider cost monitoring (OpenAI, Tavily, Google Docs).
    • Sustained delivery: 420+ commits and 50+ releases with semantic versioning (React + TypeScript frontend, CI/CD on Railway).
  2. 08/2024 — 07/2025

    Data Analyst & Project-Based Learning (PBL) Program Coordinator

    Educational institution · Mexico City

    • Scaled the PBL program from 33% to 100% reach: 43 projects, 160 students, and 95% family approval (Scrum + Bloom's Taxonomy).
    • Built an ETL pipeline (Pandas/NumPy) that unified scattered grades into KPIs and dashboards by team and cohort.
  3. 01/2025

    Co-lead, Code Development Work Cell

    MIT Global Teaching Labs — ChiMIT project · Sleep Clinic

    • Co-led the development cell on a clinical sleep-analysis project: EDA over ~180k records with a team of 25 students.
    • Documented the analysis in parameterized notebooks that explain the code line by line — technical communication the whole team could reproduce.
  4. 08/2019 — 09/2024

    Mathematics & Physics Teacher

    Educational institution · Mexico City

    • Brought technical tools into the classroom: data visualization, Arduino experiments, financial simulations with CETES, and materials in LaTeX.
  5. 2015 — 2018

    Teaching Assistant

    Universidad Autónoma Metropolitana, Iztapalapa (UAM-I)

    • Mentored 100 students across 10 physics and mathematics courses (Radiation & Optics, Hydrodynamics, among others).

Education

  1. 09/2025 — 05/2026

    Diploma in Data Science & Machine Learning for Financial Markets

    credential in progress

    Instituto Tecnológico Autónomo de México (ITAM)

    • ML and Deep Learning: predictive models and neural networks with scikit-learn and TensorFlow.
  2. 2016 — 2019

    M.Sc. — Physics

    thesis in progress

    Universidad Autónoma Metropolitana, Iztapalapa (UAM-I)

  3. 2010 — 2016

    B.Sc. — Physics

    degree & professional license

    Universidad Autónoma Metropolitana, Iztapalapa (UAM-I)

Academic achievements

  1. 01/2025

    MIT Global Teaching Labs

    Selected for international collaboration.

  2. 2020

    Dictamen 10 (UNAM)

    Highest evaluation for academic performance.

  3. 2018 — 2019

    Physics Graduate Seminars (UAM-I)

    Organizer and speaker on Bose-Einstein condensates in a harmonic trap.

  4. 2017 — 2019

    Physics Week (UAM-I)

    Coordinator, with ~200 attendees.

  5. 2014

    57th National Physics Congress

    Co-author of a paper: a modified Michelson interferometer to measure thin-film thickness (Mazatlán).

Courses

Always learning — a map across AI/ML, data, cloud and engineering.