Innovative IoT Architect with extensive experience at Rassini, specializing in machine learning and predictive analysis. Proficient in Python and communication protocols, I successfully implemented real-time temperature monitoring for Ford and developed anomaly detection tools. Strong communicator dedicated to enhancing product quality through data-driven solutions.
Developer of different kind of software solutions using all kind of programming
languages like LabVIEW, PLC, Python, .Net,C#,OPC servers like kepware and
different kind of data bases as MySQL, SQLEXPRESS and POSTGRESQL with the
goal to save the information from critical sensors of the process in order to develop
monitoring applications and predictive analysis using machine learning technology.
Most valuable projects
2022- Temperature analysis monitor in real time CQI-9 using communication
protocol RS485 for our client Ford
2022- Implementation of machine learning anomaly detection tool in order to
predict a temperature bad quality in our suspensions
2023- Production data extraction from PLC using Modbus communication protocol
to save the information in our postgre databases for our clients Ford and
Mercedes-Benz
2024:2025- Using predictive libraries in python to predict different quality and maintenance characteristics using different kind of models
Using LabVIEW and PLC software in the majority cases and connect them
with different hardware like DAQS,FPGA using a lot of integration's like data
bases,Servo-drives,Excel reports,MQTT,MODBUS, Active X, Serial Communication
protocols to keep and improve the quality of the product.
Creating solutions that measure different characteristics of our product like
parallelism using encoders, load and rates using a servo press with a load cell,
thickness using lasers and make solutions to keep our sensors calibrated.
Most valuable projects
2014 - Serial data acquisition to send the information automatically in our data
bases for our client Nissan
2015 - Develop software's to calibrate our instruments using voltage, amperage and
square pulses.
2016 - Height inspection using lasers for our client Toyota
2018 - Parallelism inspection using encoder for our client Ford
2020-Load and height inspection with hysteresis graph using servo drive machine
with load cell for our client Ford
2021- Corrosion analysis with graphs for our clients Ford , Toyota and General
Motor
2022- Torque data acquisition for our client Ford , Nissan and General Motors
Communication protocols
LABVIEW Core 2, National Instruments
Using AI in Python, Analitica Delfos
Python, Tecnologico de monterrey
LABVIEW Connectivity National Instruments
LABVIEW Core 3, National Instruments
LABVIEW Core 2, National Instruments