CESAR GARCIA
Backend Developer - Data Engineer - Data Scientist
Monterrey
Summary
Dynamic Backend Developer with a strong foundation in Machine Learning and Data Science, skilled in designing and building scalable, data-driven systems. Expertise includes creating resilient backend architectures, REST APIs, and real-time data processing pipelines using Python and AWS for cloud-based solutions. Proven track record of deploying machine learning models into production, implementing customer segmentation systems, and integrating industrial IoT devices (PLC, Modbus, MQTT) with cloud infrastructures. Proficient in merging backend engineering with data science workflows to deliver reliable and impactful technical solutions that drive business success.
Overview
4
4
years of professional experience
4
4
Certifications
2
2
Languages
Work History
Customer Segmentation & Automated Banking Analytics Pipeline
Indautosoft
11.2025 - 01.2026
- Developed a K-Means clustering model to segment the customer base into distinct profiles, transforming raw savings data into actionable groups for targeted credit and savings offers.
- Conducted in-depth cluster analysis to identify key socioeconomic and behavioral drivers, directly influencing the design of personalized financial product strategies for each segment.
- Deployed an automated retraining pipeline on an AWS server, ensuring the model updates monthly to adapt to evolving customer behaviors without manual intervention.
- Translated complex model outputs into business intelligence, defining specific strategies for each of the 6 identified clusters to maximize conversion rates for credit and savings campaigns.
Industrial IoT Data Acquisition & Modbus Communication System Refactoring
Indautosoft
04.2025 - 10.2025
- Redesigned the data ingestion architecture for PLC integration via Modbus, transforming unstructured binary data into clean, analytical-ready formats for immediate processing.
- Automated data validation processes within the connection layer, minimizing data corruption risks and ensuring high-integrity inputs for predictive modeling and monitoring dashboards.
Industrial IoT Communication System Between PLCs and Cloud Server via Siemens Gateways
Indautosoft
01.2025 - 03.2025
- Developed a system to connect Siemens gateways to industrial PLCs, enabling real-time data collection through the MQTT protocol.
- Built a Python-based server to receive, decode, and process incoming data streams from multiple PLC devices.
- Enabled real-time monitoring and processing of industrial IoT data for enhanced operational visibility and decision-making.
- Contributed to the design of the system architecture, ensuring scalable and secure communication between edge devices and cloud infrastructure.
- Designed and implemented a database integration layer to store, manage, and query processed IoT data for downstream analysis and reporting.
Webpage Modernization and Debugging for PHP and JavaScript Migration
Indautosoft
07.2024 - 12.2024
- Led the visual and functional modernization of legacy web pages originally built with PHP and Flash, transitioning them to modern HTML, CSS, JavaScript, and PHP standards.
- Enhanced front-end interfaces with modern design practices, improving usability and visual appeal while maintaining legacy system integrity.
Automated Fruits and Vegetables Recognition in Grocery Bags Using AWS Rekognition
Indautosoft
12.2023 - 01.2024
- Implemented real-time bounding box visualization and confidence scoring for each detected item.
- Designed the system to enhance checkout accuracy and reduce fraud by automating product verification through machine learning.
IoT Data Processing and Integration from MOKO-SMART Gateways via MQTT
Indautosoft
08.2023 - 11.2023
- Developed a system to connect and process encrypted data streams from MOKO-SMART IoT gateways using the MQTT protocol.
- Managed real-time data ingestion from multiple IoT devices, classifying information by client, company, building, and floor.
- Implemented data decryption and transformation pipelines to standardize incoming payloads according to enterprise specifications.
Automation System for Package Labeling and Dispatch Management
Indautosoft
03.2023 - 07.2023
- Implemented automated generation and assignment of shipping labels based on carrier-specific requirements.
- Integrated with public and private APIs to dynamically generate labels and schedule pickups or dispatch requests.
- Built a data validation and pre-processing pipeline to ensure package information accuracy before label creation.
Automated Multi-Carrier Shipment Tracking and Update Status System via Web Scraping and APIs
Indautosoft
10.2022 - 03.2023
- Developed a system to centralize and track thousands of package tracking numbers from multiple courier services, handling hundreds of thousands of records.
- Designed a data cleaning and validation pipeline to filter packages based on specific status requirements before processing.
- Implemented dynamic data collection using web scraping, public APIs, and private APIs, depending on the carrier.
- Built a data extraction and standardization workflow, selecting key tracking information from historical data and unifying package statuses.
Automated Planogram Compliance Verification Using Computer Vision and Amazon Rekognition
University of Monterrey
01.2022 - 06.2022
- Developed a computer vision application to detect and classify snack bags from different brands on retail shelves.
- Implemented a system to compare product layout against planograms, verifying compliance with client requirements.
- Trained a custom object detection model using AWS Rekognition, achieving over 95% accuracy in both detection and layout validation.
- Led the end-to-end development of the model pipeline, including data preparation, training, and AWS integration.
Automated Tracking System for High-Value Ethereum Wallets Transactions Using Web Scraping, APIs, and MySQL
Personal Project
10.2023 - Current
- Automated hourly monitoring of wallet activity: detecting buys, sells, and balance changes, and calculating transaction volumes.
- Designed and implemented a data pipeline for cleaning, transforming, and storing transaction data in a MySQL database.
- Developed automated reporting to email real-time wallet summaries, including user details, transaction history, and Ethereum price snapshots.
Education
Software Engineer -
University of Monterrey
01-2022
Skills
Teamwork and collaboration
Python
Backend System Design
Machine Learning
ETL Pipeline Development
MySQL
Relational Database Design
Industrial IoT Systems
Scikit-learn
API Integration
Matplotlib / Seaborn
REST APIs
Certification
The Data Science Course: Complete Data Science Bootcamp — Udemy 2025
Timeline
Customer Segmentation & Automated Banking Analytics Pipeline
Indautosoft
11.2025 - 01.2026
Industrial IoT Data Acquisition & Modbus Communication System Refactoring
Indautosoft
04.2025 - 10.2025
Industrial IoT Communication System Between PLCs and Cloud Server via Siemens Gateways
Indautosoft
01.2025 - 03.2025
Webpage Modernization and Debugging for PHP and JavaScript Migration
Indautosoft
07.2024 - 12.2024
Automated Fruits and Vegetables Recognition in Grocery Bags Using AWS Rekognition
Indautosoft
12.2023 - 01.2024
Automated Tracking System for High-Value Ethereum Wallets Transactions Using Web Scraping, APIs, and MySQL
Personal Project
10.2023 - Current
IoT Data Processing and Integration from MOKO-SMART Gateways via MQTT
Indautosoft
08.2023 - 11.2023
Automation System for Package Labeling and Dispatch Management
Indautosoft
03.2023 - 07.2023
Automated Multi-Carrier Shipment Tracking and Update Status System via Web Scraping and APIs
Indautosoft
10.2022 - 03.2023
Automated Planogram Compliance Verification Using Computer Vision and Amazon Rekognition
University of Monterrey
01.2022 - 06.2022
Software Engineer -
University of Monterrey