Carlos Mejia

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Carlos Mejia

carlos.mejia@tum.de • carloslmescom@gmail.com • Website • LinkedIn • Munich, Germany

Index

EDUCATION

Technical University of Munich, Munich, Germany Master of Science in Informatics Oct 2023 – Expected 2026

  • Ongoing Courses: Machine Learning, Deep Learning, Natural Language Processing, Cloud Computing

Instituto Politecnico Nacional, Mexico City, Mexico Bachelor of Computer System Engineering Jan 2015 – Jul 2020

  • Coursework: Artificial Intelligence, Software Engineering, Business Administration, Distributed Computing, Microcontrollers and Databases

Universidad de Caldas, Manizales, Colombia Student Exchange in Computer System Engineering Jan 2019 – Jul 2019

  • Coursework: Machine Learning

EXPERIENCE

Ocumeda, Germany Data Engineer and Analytics - Working Student Jun 2024 – Current

  • Collaborated closely with stakeholders, including C-level executives (CTO), to gather and translate business requirements into scalable data solutions.
  • Designed and implemented a scalable data architecture on AWS (S3, Lambda, Redshift, Step Functions) using Airbyte and Metabase to support the startup’s rapid growth.
  • Developed around 10 ETL pipelines using Python, connecting different data sources as external APIs and Sharepoint, some resulting in a 400% reduction in execution time, significantly improving data processing efficiency.
  • Established data architecture best practices and standards, ensuring data quality, consistency, and governance across the organization.
  • Monitored and optimized data pipeline performance, proactively identifying and resolving bottlenecks to meet data delivery SLAs.
  • Managed the data infrastructure that supported data-driven decision-making for over 15 users, including C-level executives.

ITESM (Instituto Tecnologico y de Estudios Superiores de Monterrey), Mexico Part-Time University Lecturer Feb 2022 – Sept 2023

  • Invited lecturer at the Master in Applied Artificial Intelligence (MNA-V) for 6 weeks (July-August).
  • Course: Introduction to MLOps.
  • Participated in the proposal and design to register the first MLOps subject as part of the ITESM master’s program (MNA-V).
  • Part-time lecturer in programming subjects with Python, OOP, Unit/Integration Testing (Pytest), Packaging, REST APIs (FastAPI), Software Engineering, Monitoring, Observability, Docker, Docker Compose, Terraform, and GitHub Actions, applied to a certification course in Deployment of Machine Learning Models in Production Environments (MLOps).

Delta Smith (Remote, USA) Data Engineering and Architect - Freelancing Sep 2021 – Sep 2023

  • Designed Data Roadmap for 2022 (Q2-Q4) and 2023, covering Security, Observability, Monitoring, Orchestration, Data Governance, DataOps, Data Quality, Privacy, and Compliance.
  • Lead data projects from requirements mapping to database modeling and delivery.
  • Improved the design, documentation, maintenance, monitoring, and optimization of existing code and data tools.
  • Generated three workflows orchestrated by Airflow Google Composer.
  • Architected and implemented an end-to-end batch data pipeline with ScreamingFrog, Google Cloud Storage, GSheets, Docker, and Terraform.
  • Architected and developed Data Observability, Logging, and Monitoring infrastructure using Google Cloud Functions, BigQuery, Data Studio, and Shipyard.
  • Designed and implemented data security baselines, including training on best practices and authentication (MFA, 2FA).
  • Implemented a batch pipeline orchestration with Shipyard, Cloud Functions, and BigQuery.
  • Supported and improved Analytics Engineering team processes such as ETL and ELT.

Wizeline, Mexico City, Mexico Data Engineer Jan 2022 – April 2023

  • Developed one streaming and two batch pipelines (ETL) from multiple sources for a recommendation system using Python, GCP (Cloud Functions, Cloud Storage, Scheduler, Cloud SQL, Pub/Sub, BigQuery, Dataflow, Scala), and AWS (EMR, PySpark, S3, Athena, Lambda, CLI).
  • Documented data requirements from stakeholders (Operations, Data Science, Analytics, etc.).
  • Taught Terraform content about data engineering in an external boot camp.
  • Taught Kafka fundamentals in an external course on streaming content.
  • Designed and implemented multiple unit and integration tests with pytest.
  • Created a REST API for an internal ML model project using FastAPI, Python, Docker, and AWS EC2.

iVoy - OnDemand & SameDay Deliveries, Mexico City, Mexico Data Engineer Feb 2021 – Jan 2022

  • Collaborated in the DE architecture design and implementation.
  • Developed multiple PoCs for data batching/streaming (Apache Beam) using GCP/AWS, Airflow, Spark, handling stakeholder requirements and data migration.
  • Created and deployed a production streaming pipeline processing daily packages, feeding internal microservices using Apache Beam, BigQuery, and Dataflow.
  • Consolidated data from MySQL, Postgres, and MongoDB into a Kafka cluster (500M+ records, continuous streams).
  • Created a Data Lake in AWS S3 for raw data, enabling analysis via Glue, Athena, and QuickSight.
  • Documented data requirements and performed data migration between S3 buckets using Python and Boto3.

Uber Technologies Inc, Mexico City, Mexico Driver and Rider Operations Intern Oct 2019 – Jan 2021

  • Responsible for data collection, cleaning, exploration, and analysis on large datasets (documents, trips, profiles) for regulatory processes across 56 cities using SQL (Presto), Python, Pandas, and internal tools.
  • Productized a fully automated end-to-end GUI application (Python, Django, SQL) for pre-processing driver/vehicle/partner documents (image validation, compression, conversion), saving 40+ hours/month of manual work by delivering data via a REST API.
  • Automated a regulatory status dashboard (Python, SQL, Google Sheets) for Mexico cities, providing monthly insights.
  • Developed a document processing automation prototype (Deep Learning - ResNet-50, Computer Vision, OCR) to validate National Identification documents, achieving 81% accuracy across four categories.
  • Generated high-level documentation from Engineering teams for non-technical audiences.

Neimpetu S.A.S, Manizales, Colombia Software Developer May 2019 – Sep 2019

  • Developed web applications for an insurance company.
  • Analyzed user requirements with clients.
  • Designed, developed, and tested 30+ modules (CRUD frontend/backend, search/sort/filter, navigation) using Angular, Typescript, Java, Java Spring Tool, and SQL Server.
  • Verified modules through user testing and design reviews.

T&M Consulting, Mexico City, Mexico Web Application Developer Jun 2018 – Nov 2018

  • Created surveys for company clients (design, testing, production) using Javascript, CSS, HTML, Pepperi, and Visual Studio Code.
  • Experimented with Progressive Web Apps (Service Worker, Manifesto) for internal testing.

Propulsar MX, Mexico City, Mexico AI Intern Developer Dec 2016 – Jul 2018

  • Created 16 chatbots to identify and save customer intentions from written messages using NLP, C#, Microsoft Bot Framework, SQL Server, and Azure Cognitive Services (LUIS API).

PROJECTS

Interdisciplinary Course - LLMs (Skills: Python, LLMs, Software Engineering) October 2024 – May 2025

  • Creating a framework using LLM models (Python and Gemini) to reduce manual effort in taking a tool from research to a professional level.

Practical Course - Applied Deep Learning in Medicine (Skills: Python, DL, Segmentation, nnU-Net) Apr 2024 – Aug 2024

  • Research project with the Chair for AI in Medicine and Healthcare at TUM focusing on Analysis of Resolution Differences on a Segmentation Task using state-of-the-art techniques.

Responsive Website (Skills: Javascript, Node.js, GCP, GitHub, HTML, CSS) Feb 2023 – Mar 2023

  • Designed and implemented a responsive website with multi-language support using HTML, CSS, Javascript, Node.js, GitHub, GCP Compute Engine, and Google Domains.

Bachelor’s Thesis (Skills: Python, Django, Machine Learning, Image Analysis) Jul 2020

  • Developed a methodology for detecting three types of diseases in tomato leaves using image analysis and pattern recognition.
  • Experimented with and generated an embedded algorithm using various supervised learning algorithms (NN, SVM, RF, KNN, Naive Bayes, CNN).

Classification of types of food (Skills: Python, Flask, Flutter, CNN) Jul 2019

  • Created a production-ready end-to-end system (Python, CNN) deployed on Heroku to predict food scenarios.
  • Connected to an Android app developed in Flutter.

AWARDS

  • Second place in Social Data Challenge 4.0 by DataLab Mexico (2021)
  • GIST Tech-I Semifinalist, Mexico City, Mexico (2016)
  • Babson Build for Santander Universities Entrepreneurial skills course. Boston, Massachusetts, US (2015)
  • TrepCamp Summer Program Class of 2014 Development of entrepreneurial skills course. Silicon Valley, California, US (2014)
  • Winner IDEup Spin Banco Santander for best entrepreneur idea. Mexico City, Mexico (2014)

TECHNICAL SKILLS

  • Cloud Platforms:
    • AWS: S3, Lambda, Redshift, Step Functions, EMR, Athena, Glue, EC2, QuickSight
    • GCP: BigQuery, Cloud Functions, Cloud Storage, Composer, Dataflow, Pub/Sub, Compute Engine, Google Domains
  • Data Engineering & Processing:
    • Languages/Core: Python (Pandas, NumPy), SQL
    • Big Data Tools: Spark (PySpark), Kafka, Apache Beam
    • Orchestration & ETL/ELT: Airflow, ETL/ELT Design, Airbyte, dbt
    • Concepts: Data Architecture, Data Modeling, Data Governance, Data Quality, DataOps
  • MLOps & Development:
    • Infrastructure & CI/CD: Docker, Terraform, Git, GitHub Actions
    • Testing & APIs: Pytest, FastAPI, Django
    • Monitoring & Observability Practices
  • Machine Learning & AI:
    • Libraries: Scikit-learn, TensorFlow, Keras, OpenCV
    • Domains: Deep Learning (CNN, ResNet), NLP, Computer Vision (Image Analysis, OCR, Segmentation), nnU-Net
    • Concepts: Supervised Learning (Regression, Classification, SVM)
  • Web Technologies & Other:
    • Languages: Javascript, Java, C#, Typescript
    • Frameworks: Angular
  • Databases:
    • Relational: SQL Server, MySQL, PostgreSQL, Redshift
    • NoSQL: MongoDB

LANGUAGES

  • Spanish: Native
  • English: Fluent - IELTS Academic Score 6.5
  • German: Basic - A1.2

VOLUNTEERING

Salsuki (Munich, Germany) 2023-Current

  • Freely teach Cuban/Casino Salsa to university students to promote cultural exchange every week.

LATUM (TUM Munich, Germany) 2024-Current

  • Member of staff for Latin American students at TUM (LATUM).
  • Contributed to activities supporting Latin American and other international students (workshops, guidance, intercultural exchanges, social gatherings).

Buddy Program (IPN Mexico City) 2018-2021

  • Supported exchange students (from France, Belgium, Colombia, Chile, Spain) with university and cultural integration.

COURSES

  • Introduction to Machine Learning in Production (2023)
  • Machine Learning Data Lifecycle in Production (2023)
  • Machine Learning Modeling Pipelines in Production (2023)
  • MLOps Essentials: Model Development and Integration (2023)
  • Deploying Scalable Machine Learning for Data Science (2022)
  • Wizeline Bootcamp Data Engineering (2021)
  • Artificial Intelligence Foundations: Machine Learning (2018)