About

something about me

Data Scientist & MLOPs Engineer

“We're entering a new world in which data may be more important than software.” - Tim O'Reilly

  • Birthday: 25 april 1992
  • City 1: Culiacan, Mexico
  • City 2: Guadalajara, Mexico
  • Degree: Master of Science
  • Email: carpediem.sinhue@gmail.com
  • Phone: (+52) 6671302628

As a human being, my curiosity to know the observable never stops. As a scientist, my curiosity seeks to learn from what is known with facts and data. As an engineer, my curiosity aspires to transform what has been learned into solutions. And as a mentor, my curiosity culminates in guiding the way.

As a person, I also deeply enjoy the daily gifts that life bestows, like spending quality time with family, taking care of my son and watching him grow, reading a good book with a cup of black coffee, having an interesting conversation with friends over a cold pint of beer, and ultimately, contemplating the past and present to forge a brighter future.

Skills

Programming Languages

Phyton 95%
SQL 95%
java 90%
C++80%
C#75%

Machine Learning Tools

Machine Learning: Scikit-learn, Keras 95%
Data Analysis: Pandas, Matplotlib, Seaborn 95%
NLP: NLTK, Word2vec, GloVe, FastText 90%
Deep Learning: TensorFlow, Transformers, LLMs 80%

Big Data & Data Engineering

PySpark, Spark SQL85%
Delta Lake 70%

MLOps, Cloud & Deployment

Docker, FastAPI, RESTful APIs 90%
MLflow, Lakeflow Jobs, Data Version Control, Evidently AI 85%
AWS S3, GCP Vertex AI, Red Hat OpenShift, Azure Databricks 80%

Personal Interests

Leadership

Family

Book Reader

Swimming

Coffee Lover

Casual Gamer

Resume

CHECK MY RESUME (CV)

Download CV

Summary

Sinhue Siordia

Data Scientist and MLOps Engineer proficient to design and implement end-to-end Machine Learning lifecycles using Databricks, MLflow, Docker, and FastAPI.

Strong leadership background as a Tech Lead, managing Agile teams and enforcing CI/CD best practices within cloud-native environments (GCP/Azure).

Passionate about leveraging data to drive business value, from optimizing financial service workflows to developing deep learning solutions in healthcare.

Certified in MLOps, Data Engineering, and Generative AI with a master degree in Bioengineering and Intelligent Computing with 8+ years of research and development expertise.

  • Culiacan, Sinaloa, MX
  • Guadalajara, Jalisco, MX
  • (+52) 6671302628
  • carpediem.sinhue@gmail.com

Education

Master's degree in Bioengineering & Intelligent Computing

2020 - 2022

University of Guadalajara, MX

Automatic prediction of the clinical diagnosis of pulmonary embolism or pneumonia from analyzing electronic health records with machine learning and natural language processing from Mexican hospitals. Information extracted and stored from PDFs formats using Python and MySQL.

  • Design and create databases with MySQL for clinical data storage.
  • Clinical data mining using the Knowledge Discovery in Databases (KDD) methodology, regular expressions, and natural language processing.
  • Clinical data analysis with different algorithms: Decision Trees, Random Forest, Support Vector Machine, Neural Networks, Adaboost and BiLSTM (Bidirectional Long Short-Term Memory).
  • Project files:
  • Pneumonia and Pulmonary Thromboembolism Classification Using Electronic Health Records
  • Project Article:
  • DOI:10.3390

    Automatic identification of clinical laboratories variables related to the correct and incorrect diagnosis of pneumonia and pulmonary embolism.

  • Exportation of structured data with the use of data frames to csv files.
  • Data analysis using algorithms of association rules (Apriori) with Python.
  • Project Article:
  • DOI:10.24254/CNIB.21.56

    Bachelor in Mechatronics Engineering

    2010 - 2015

    Institute Technology of Culiacan, MX

  • Design and programming of the control and GUI for a microalgae photobioreactor using Java
  • Programming and administration of databases in ACCESS with communication to Visual Basic with SQL for the control, follow-up, and reduction of administrative costs in the maintenance department of Kostal Mexicana, S.A. de C.V.
  • Certifications and Courses

    Data Engineering and AI with Databricks

    2026

    SmartData Center - SDIDIA-20261535

    MLOps Specialization: From Model to Production Environment

    2026

    SmartData Center - SDMLO-20260131

    Specialization in Data Science and Generative AI with Python

    2026

    SmartData Center - SDIAG-20260816

    Generative AI Fundamentals

    2026

    Databricks Academy Accreditation - ID-189247281

    Platform Administrator

    2026

    Databricks Academy Accreditation - ID-189244926

    Databricks Fundamentals

    2026

    Databricks Academy Accreditation - ID-189013264

    Professional Experience

    Data Scientist and MLOps Researcher

    2026 - Present

    Self-employed, Culiacan, Sin, MX

    • Design and build a Job Workflow that extract, transform, and load (ETL) the real-life dataset about bank loan renewal projects saved in a delta lake storage, using an automatic pipeline with Azure Databricks Platform
    • Develop, implement and integrate the bank loan renewal project with a MLOPs end-to-end workflow with docker, MLflow models and experiment tracking, unitary tests, fastapi framework, automatic CI/CD with model deploy in Google Cloud Run.
    • Develop and implement machine learning models to make predictions about identifying bank customers most likely to renew a loan, analyzing real-life datasets to extract meaningful insights and identify patterns, trends, and correlations with the main objective of optimizing sales conversion campaigns and reducing advertising contact costs through accurate predictive modeling.

    Tech Lead

    2024 - 2026

    Coppel, Culiacan, Sin, MX

    • Design, manage and lead developer strategies to achieve the goal.
    • Lead Scrum Events alongside the Scrum Master, optimizing team planning and delivery processes.
    • Mentored engineering teams and enforced Clean Code standards, peer code reviews, and robust CI/CD pipelines on Azure DevSecOps for scalable software and data solutions.
    • Continuous value delivery using tools from scrum and agile methodologie.
    • Implement reviews of CI/CD pipelines on Azure DevSecOps for software deployments on on-premises Red Hat Linux servers and Google Cloud Platform (GCP).
    • Redact technical documentation solutions and production installations for efficient knowledge transfer.
    • Configure and maintain reliable development and testing server environments.
    • Design and configure API proxies with Google Apigee platform.

    Software Architect

    2023 - 2024

    Coppel, Culiacan, Sin, MX

    • Design UML (Unified Modeling Language) diagrams for architecture solutions.
    • Impacts estimation for new software improvements and developments.
    • Ensuring code scalability and maintainability.

    Quality Engineer

    2018 - 2020

    Continental Automotive, Tlaquepaque, Jal, MX

    • Application of methodologies for client problem solving.
    • Maintain customer supplier and production requirements in accordance with legal regulations.
    • Core tools application and evaluation.
    • Define and implement quality strategies and continual improvement processes.

    Metrology Technician

    2017 - 2018

    Insert Technology of Mexico, Culiacan, Sin, MX

    • Develop and perform R&R (Repeatability & Reproducibility) analysis for approval of measurement methods.
    • Build and follow up PPAP (“Production Part Approval Process”) packages.

    Project Engineer

    2016 - 2017

    Rochin Industries, Culiacan, Sin, MX

    • Developer and designer of processing and packaging lines for post-harvest vegetables in the agro-industry.
    • Implementation of Visual Basic programs and ACCESS databases for project management.

    Services

    Some Services

    Machine Learning models

    Develop and implement machine learning models to solve business problems and make predictions

    MLOPs implementation

    Design and develop End-to-End Machine Learning models with MLOPs integrations

    Data Pipelines with Delta Lake

    Create automated ETL pipelines with Databricks Jobs Workflows using the Medallion architecture, Delta Lake storage, and Unity Catalog for governance and security

    Portfolio

    a few works

    • All
    • Publications
    • Projects

    Machine Learning models implementation to identify potential bank customers to renew a loan.

    Projects

    MLOps end-to-end workflow Project: Identifying potential bank customers to renew a loan from analyzing real-life datasets with machine learning.

    Projects

    Job Workflow ETL for Bank Loan Renewal Projects in Databricks with Delta Lake

    Projects

    Pneumonia and Pulmonary Thromboembolism Classification Using Electronic Health Records

    Publications

    Contact

    Contact Me

    My Location

    Culiacan, Sin, MX

    Guadalajara, Jal, MX

    Social Profiles

    Personal Email

    carpediem.sinhue@gmail.com

    Call Me / Whatsapp Me

    (+52) 6671302628