Artemio Santiago Padilla Robles

Deep Learning Architect · Mexico City

I'm a Mexican engineer who designs deep learning systems and ML infrastructure that operate reliably at scale.

From atomic force microscopy to deep learning: I've scaled from nanometers to neural networks.

With a background in nanoscience research (STM/AFM/Raman spectroscopy) and a peer-reviewed publication, I learned the discipline of working at 10⁻⁹ meters in ultra-high vacuum. Today, I apply the same rigor to deep learning architectures—designing systems that scale reliably from prototype to production.

The connection? Both demand obsessive care with signal-to-noise ratios, drift compensation, and reproducibility. Debugging a production model feels like aligning a scanning tunneling microscope—except the stakes are millions of real-time decisions instead of a research publication.

I architect deep learning systems with scientific-instrument-grade reliability, coordinating cross-functional teams to translate advanced models into measurable business impact. My work spans the full stack—from model design and training infrastructure to deployment pipelines and production monitoring.

Key Strengths

Patience forged from months refining a single spectrum
Urgency of keeping production systems alive at scale
Deep understanding of both model internals and the infrastructure that serves them
Ability to align teams and stakeholders—internal and external—toward measurable impact

I also co-founded SECiD at UNAM, fostering Mexico's data science community with the same precision I once applied to spectrometers. I thrive in roles where deep learning meets systems engineering—where microscopic attention to model quality must coexist with macroscopic architecture decisions.

Currently Working On

🎓

Education

Master's in Applied AI

Tec de Monterrey

Progress 50%

Expected completion: December 2026

🚀

Active Projects

Deep Learning Architecture Design

Designing production-grade DL systems for large-scale inference

PyTorchCUDADistributed Training

ML Infrastructure at Scale

Building training and serving pipelines for enterprise workloads

KubernetesDockerCloud Infrastructure

📚

Learning

🧠

Transformer Architectures & LLMs

Research & Practice

⚡

Distributed Deep Learning

Production Systems

👁️

Computer Vision & Multimodal Models

Research Project

🎯

Next Goals

Publish Deep Learning Research

Target: 2026-06

Complete Master's Thesis in Applied AI

Target: 2026-12

Professional Experience

MLOps & Automation Engineer Sr. / Deep Learning Architect

Círculo de Crédito · Mexico City

Dec 2023 – Present Current

Accelerated model deployment: led productization of 9 analytical models (collections scoring, loan estimations, inference systems), cutting deployment time from >2 quarters to <1 quarter
Enterprise automation: integrated Snowflake + AWS to streamline the enterprise data platform: 292 ETL processes and validations, zero man-hours in periodic workflows, and data cleansing for millions of persons and addresses
Enabled data science at scale: implemented and managed SageMaker-based environments, achieving 10,500+ hours of usage across 38 users and 9+ models developed
MLOps best practices: SageMaker environments as IaC; continuous training pipelines for 20+ monthly models; cross-platform templates (batch/online, cloud & on-prem); centralized model/experiment registry; standardized DevOps interfaces
GenAI innovation: developed and deployed an internal RAG chatbot with GenAI + IaC, introducing LLM governance across security, legal, and product dimensions
Leadership & coordination: aligned cross-functional teams and external partners to ensure advanced models deliver measurable business value
Delivered trainings across Data & Analytics teams on Git (theory + labs), SageMaker, MLflow, and EMR–SageMaker integration, fostering adoption of modern ML and data engineering practices
Cloud orchestration: EMR, Lambda, Snowflake, Glue, SageMaker with idempotency and resilience principles
Admin of: SageMaker, Airflow, Data Catalog, Internal GenAI chatbot

Data Engineer

Círculo de Crédito · Mexico City

Aug 2022 – Dec 2023

Led external data enrichment (e.g., RENAPO), improving records for 80M+ individuals at scale
Kickstarted data platform automation on AWS (data lake), enabling current cloud-first operations
Initiated the company's knowledge graph as the foundation for automation and smarter data integration
Introduced engineering best practices: idempotent processes, CI/CD pipelines, and Git workflows
Implemented business ETL workflows (Spark/PySpark + SQL) supporting finance, risk & analytics domains
Delivered trainings to Data & Analytics on Git (theory + labs), SageMaker, MLflow, and EMR–SageMaker integration
Provided technical support & onboarding to Analytics (version control, reproducible experimentation)
Documented core pipelines and standards; reduced onboarding friction and ad-hoc questions

Student Representative – BSc in Data Science

UNAM (FES Acatlán & IIMAS) · Mexico City (Hybrid)

Aug 2021 – Aug 2022

Represented the student body across two campuses, liaising among students, faculty, and administration during the post-pandemic return to in-person classes
Influenced academic decisions: faculty selection processes, alumni survey design, and feedback for the ongoing curriculum redesign
Improved student resources, securing access to campus Wi-Fi and institute GPU infrastructure
Organized postgraduate info sessions to help students explore advanced study opportunities
Advocated for students via committee participation, review of faculty CVs and demo classes, and transparent communication on administrative processes

Search Engine Evaluator

Appen · Remote

Sep 2019 – Aug 2022

Evaluated companies, entities, and information sources against Google's information-quality guidelines, consistently ranking in the top 20% of evaluators
Assessed relevance, accuracy, trustworthiness, and usefulness of search results to improve algorithms and user experience
Leveraged Google's internal tools, including the Knowledge Graph, to validate information quality and entity relationships
Produced structured feedback and documentation to refine evaluation models and strengthen result integrity
Full-time remote role conducted entirely in English (international collaboration & communication)

Laboratory Research Assistant – Nanosciences Lab

Institute of Physics (UNAM) · Mexico City

Aug 2017 – Sep 2020

Co-developed a modular optical system enabling enhanced Raman spectroscopy techniques for nanoscale research
Designed, assembled, and calibrated precision components under ultra-high vacuum, ensuring high SNR and reproducibility
Conducted experiments; collected and analyzed spectral data; contributed to experimental rigor and scientific insight
Co-authored a peer-reviewed publication based on system design and performance findings

Accountant Assistant

Insultec Mexico · Mexico City

2014 – 2015

Managed financial records and accounting documentation for small business operations
Assisted with invoice processing, expense tracking, and basic bookkeeping tasks
Supported administrative operations and client communications

Private Teacher

Private tutor for high school students · Mexico City

2013 – 2015

Provided personalized tutoring in mathematics, physics, and chemistry to high school students
Developed customized learning plans to address individual student needs and learning styles
Helped students improve their grades and prepare for university entrance exams

Technician

Freelancer · Mexico City

2011 – 2013

Provided electronics repair services for computers, smartphones, and consumer electronics
Diagnosed hardware and software issues, performing component-level repairs
Built custom PC systems and provided technical consulting to individual clients

Projects

Portfolio Management Strategy Simulator

Algorithmic Trading Project

Simulator for portfolio-selection strategies using ranking functions; includes multiple optimization techniques and ranking strategies

2022

Machine Learning and COVID

Machine Learning Project

Implemented ML classifiers to predict infections, hospitalizations, and deaths during the COVID-19 pandemic

2022

Private Server

Self-hosted Infrastructure

Docker-based private server for multiple applications; networking via Cloudflare tunnels

2022

TSP for Mexican Magic Towns

Discrete Maths & CS Project

Backtracking exploration and approximation algorithms to compute near-optimal routes for arbitrary sets of towns

2020

Open Source on GitHub

View all →

n8n-deploy

Deploy n8n anywhere - AWS Serverless, Docker, or On-Premise - with enterprise features at personal costs

Python 4

love-claude-code

A Claude-powered web IDE that combines AI chat with live app preview in a dual-pane interface, designed to scale from startup to enterprise as a Lovable.dev alternative.

TypeScript 3

mlops-project

A complete MLOps project

Jupyter Notebook 2

agent-triforce

3-agent development system (PM/Dev/QA) with checklist methodology. Install as a Claude Code plugin or use as a project template.

Python 1

checklist claude-code claude-code-plugin

ai-art

Generative algorithmic art — 60 sacred geometry PDF posters, 15 loopeable GIFs, and interactive pieces. All code-generated with Python + ReportLab + Pillow.

Python 1

Disk-Use-Analyzer

A powerful macOS disk space analyzer with zero dependencies

Python 1

superset-deploy

Easy deploy of Apache Superset on local docker or GCP compatible with free tier

Python 1

JustSplit

Fair expense splitting made simple. JustSplit helps groups easily track, divide, and settle shared expenses for trips, events, and everyday life.

TypeScript 1

foodie

A flexible meal planner and recipe manager with smart shopping lists and community contributions.

TypeScript

mna-qa

Quality Assurance

Python

good-programming-practices

Good Programming Practices

Python

openmp-demo

Repo to explore OpenMP

C++

mlops-infographic

Infografía básica de MLOps

CSS

autonomous-navigation-basics

Basics of Autonomous Navigation

Jupyter Notebook

total-compensation-calculator

A static web application to compare job offers with all compensation dimensions including base salary, stocks, bonuses, benefits, and more.

HTML

Meeting-Transcript-Extractor

Extract meeting transcripts from tldv.io and fireflies.ai HTML files to TXT, CSV, and JSON formats

Python

LexMX

Tu asistente legal inteligente para México

TypeScript

unified-remote-tunnel

This repo provides a way to use Unified Remote with CloudFlare Tunnels to expose the service with zero-trust even behind a CGNAT

Shell

nexus

Nexus is the centralized platform to manage and publish content across multiple social networks from a single place.

TypeScript

prov-o

Classes to model using PROV Ontology in Python, TypeScript and Rust

Python

Education

Master's Degree in Applied Artificial Intelligence

Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM)

Sep 2024 – Present (Expected Dec 2026)

Relevant Coursework

Data Science and Analytics, Artificial Intelligence and Machine Learning (AI&ML), Internet of Things and Sensor Networks (IoT), Data Visualization, Machine Learning Operations (MLOps), Software Analysis, Design, and Development, Disruptive Strategy and Digital Transformation, Autonomous Navigation

Bachelor's Degree in Data Science

National Autonomous University of Mexico (UNAM)

Sep 2020 – Jun 2022

GPA: 3.84/4.0

Relevant Coursework

Machine Learning, Deep Learning, Big Data I–II, Discrete Maths, Data Mining, Information Visualization, Relational & NoSQL Databases, NLP, Time Series, Concurrent Programming, Stochastic Simulation, Statistics

Bachelor of Science in Physics

National Autonomous University of Mexico (UNAM)

Sep 2013 – Sep 2020

GPA: 3.73/4.0

Relevant Coursework

Optics, Scientific Instrumentation, Robotics, Electronics, Mechanics, Quantum Mechanics, Metal Machining, Calculus I–IV, Statistical Mechanics, Observational Astronomy, Philosophy of Quantum Physics

High School: Chemistry and Biological Sciences

Colegio Fernández de Lizardi

2010 – 2013

Achievement: First place of my generation

Certifications & Courses

High Specialty Certificate

Certificado de Alta Especialidad: Inteligencia artificial y aprendizaje automático

Tecnológico de Monterrey

Apr 2025

Certificado de Alta Especialidad: Visualización de datos

Tecnológico de Monterrey

Apr 2025

Certificado de Alta Especialidad: Ciencia de datos

Tecnológico de Monterrey

Dec 2024

Certificado de Alta Especialidad: Internet de las cosas y redes de sensores

Tecnológico de Monterrey

Dec 2024

Language Certificate

English Certificate C2 Proficient

EF SET

Apr 2020

Online Course

Introduction to HTML5

University of Michigan

2021

Introduction to Git

Datacamp

2021

MongoDB Basics

MongoDB University

2021

Database Design

DataCamp

Apr 2021

Introduction to SQL

DataCamp

Oct 2020

A First Step Towards SAP HANA Query Optimization

SAP

Dec 2020

Course/Workshop

High Level Efficiency - An approach to Julia language

UNAM

2020

Workshop

Heat transfer at the nanoscale

Institute of Physics, UNAM

2019

Technical Skills

Languages

PythonSQLRJuliaC++MATLABFortran

Cloud & MLOps

AWS (SageMaker, EMR, Lambda, Glue)AirflowDockerKubernetesMLflowSnowflake

Relational Databases

PostgreSQLMySQL

NoSQL Databases

MongoDBCassandraNeo4jRedis

Big Data

Spark (PySpark)EMRData Lake architectures

Machine Learning

PyTorchTensorFlowTransformers / LLMsScikit-learnXGBoostCUDA / GPU ComputingDistributed TrainingFeature Engineering

Visualization

MatplotlibSeabornPlotlyD3.js

Tools

GitLinuxRaspberry PiCloudflare

Design

Adobe IllustratorPhotoshopAfter EffectsPremier

Leadership & Community

Co-Founder & Secretary-General

Sociedad de Egresados en Ciencia de Datos (SECiD) · Mexico City (Hybrid)

2024-05 – Present

Founded and structured SECiD, the first alumni society for Data Science graduates from UNAM
Built the organization's digital presence, including a cost-free hosted website and the first operational commissions
Forged partnerships with global educational institutions to expand learning and collaboration
Launched a dedicated job board to connect members with industry opportunities
Promoted community growth and governance, fostering collaboration and a sustainable platform for professional development

Active Member Economics Faculty Debate's Team

Economics Faculty, UNAM

2019 – 2020

Participated in intercollegiate debate competitions representing UNAM
Developed critical thinking and public speaking skills through regular practice sessions
Collaborated with team members to research and prepare arguments on economic and social topics

Debate Workshop

Law Faculty, UNAM

2020-2

Advanced debate techniques, argumentation theory, and competitive debate formats

Oratory Workshop

Law Faculty, UNAM

2019-1

Public speaking fundamentals, speech construction, and persuasive communication techniques

XII Model of United Nations

Mexican Congress of the Union

2018

Represented a UN member state in diplomatic simulations, negotiating resolutions on global issues

Model of United Nations, ULAMUN X

Latinoamerican University

2018

Earned Special Mention for outstanding diplomatic performance and negotiation skills

Debate Competition: UNAMESA de Debate

Economics Faculty, UNAM

2019

Competed in formal debate tournament focusing on economic policy and social issues

Interests

"I believe those fortunate enough to master knowledge have a duty to give back to society."

Professional

Technology development across the stack—from physical instrumentation to complexity sciencesPhilosophyOpticsMaterials scienceRoboticsCyberneticsControl theoryPolitical theorySelf-organizationAIEconomics