Ruben Alvarez Martinez Email & Phone Number
Who is Ruben Alvarez Martinez? Overview
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Ruben Alvarez Martinez is listed as Senior Customer Data Scientist at H2O.ai, a company with 317 employees, based in Hermosillo, Sonora, Mexico. AeroLeads shows a matched LinkedIn profile for Ruben Alvarez Martinez.
Ruben Alvarez Martinez previously worked as Solutions Engineer at H2O.Ai and AI Engineer at Tariy. Ruben Alvarez Martinez holds Me Electronic And Computer Engineering, Electrical, Electronics And Communications Engineering from University College Dublin.
Email format at H2O.ai
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About Ruben Alvarez Martinez
As a Data & Applied Scientist at Microsoft, I have been developing and implementing machine learning solutions for video quality assessment and encoding, using Pytorch and AzureML. I have also been creating data pipelines and models to process and correlate billions of data points from telemetry, operational, and customer sources, enabling the translation of business questions into insights.With over six years of experience in data science and engineering, I have a strong background in computer vision, natural language processing, and sequential data analysis. I have also filed two patents related to hydrocyclone vibration analysis and granulometry analysis based on artificial vision. Additionally, I have been a mentor at DEV.F, an organization that provides data science training and certification. I am passionate about applying my skills and knowledge to solve real-world problems and create value for the company and the society.
Listed skills include Product Design, Product Innovation, Embedded Systems, Product Development, and 43 others.
Ruben Alvarez Martinez's current company
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Ruben Alvarez Martinez work experience
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Solutions Engineer
Current
Ai Engineer
Built a conversational AI able to provide solid advise around complex workplace situations. Built with Chainlit, Langchain, OpenAI, Docker, Azure, Redis, FAISS, PGVector / Postgres.
Data & Applied Scientist 2
Data & Applied Scientist
- Developed a state-of-the-art video quality assessment tool using Pytorch and AzureML to measure the subjective quality of videos encoded with machine learning (ML) encoders, saving the company in experimentation.
- Implemented a semi-autonomous feature extractor and selector pipeline using Python and pretrained feature extractors and clustering techniques, allowing for rapid iteration and shorter development times.
- Transformed and correlated telemetry, operational and customer data by creating a business global data model, enabling the translation of business questions into insights.
- Created data pipelines to process, transform and correlate billions of data points using Pyspark in Sypase and the OOP paradigm.
- Created reports to showcase customer segmentations, customer funnel states, product usage and billing, using Power BI and DAX.
Machine Learning Engineer
Defined and implemented a web application for the analysis of online meetings (audio, text, and meta-data) to produce key findings, metrics, and insights about an organization's behavior from online meeting scheduling and execution.
Junior Machine Learning Engineer
Data Scientist
Designed, implemented, and evaluated NLP models to detect +20 human intentions and sentiments.Improved and maintained over 91%+ model accuracy through all customer interactions.Optimized models inference speed reaching ~80 ms/prediction on CPU while maintaining accuracy.
Data Scientist
Created and labeled 900+ images datasets for image segmentation tasks.Deployed computer vision algorithms in “on the edge” devices and complied with system performance and accuracy requirements.Developed an object detection and human action recognition solution and reduced product time-to-delivery by 50%.
Masters Student
Master's Degree in Engineering: Electronics and Computer Engineering.Thesis Project: Sports Exercise Assessment using Computer VisionSummary: I developed a system for the automatic analysis of the movements generated by athletes in the sport of Olympic weightlifting, using Deep Learning and Computer Vision in order to assist in the training of athletes.
Test Engineer
Outcomes:- Reduced data analysis process from 3 weeks to 10 minutes using R.- Motivated the creation of a new team within the company to apply data analysis to reliability processes.- Defined the strategies and technologies to implement machine learning for hardware debugging.Activities:- Electronic hardware and software debugging.- Data analysis and.
Application Engineer
Outcomes:- Collaborated in the invention of three industrial sensors.- Optimized costs and reached 85% revenue margins over inventions.- Helped costumers increase production by ~ 1 to 3%.- Gained experience developing software to record and process data from instrumentation sensors.- Built exceptional resilience by dealing with though customers and complex.
Colleagues at H2O.ai
Other employees you can reach at h2o.ai. View company contacts for 317 employees →
Luckygirl Gayetaye
Colleague at H2O.AiSioux Falls, South Dakota, United States, United States
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TJ
Tisha Jones
Colleague at H2O.AiNewport, Oregon, United States, United States
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AK
Arthur Kantor
Colleague at H2O.AiBrookeville, Maryland, United States, United States
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MM
Michał Marszałek
Colleague at H2O.AiCracow Metropolitan Area, Poland
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PC
Poorna Cooray
Colleague at H2O.AiKalutara District, Western Province, Sri Lanka, Sri Lanka
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JP
Jayeah Pithiya
Colleague at H2O.AiJunagadh, Gujarat, India, India
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PI
Prathushan Inparaj
Colleague at H2O.AiBatticaloa District, Eastern Province, Sri Lanka, Sri Lanka
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KL
Keylen Lambaatjeen
Colleague at H2O.AiCape Town, Western Cape, South Africa, South Africa
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SM
Sherene Mahanama
Colleague at H2O.AiSri Lanka, Sri Lanka
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AW
Angie Wang, Cfa
Colleague at H2O.AiUnited States, United States
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Ruben Alvarez Martinez education
Me Electronic And Computer Engineering, Electrical, Electronics And Communications Engineering
Bachelor'S Degree, Electrical And Electronics Engineering, 90
Frequently asked questions about Ruben Alvarez Martinez
Quick answers generated from the profile data available on this page.
What company does Ruben Alvarez Martinez work for?
Ruben Alvarez Martinez works for H2O.ai.
What is Ruben Alvarez Martinez's role at H2O.ai?
Ruben Alvarez Martinez is listed as Senior Customer Data Scientist at H2O.ai.
Where is Ruben Alvarez Martinez based?
Ruben Alvarez Martinez is based in Hermosillo, Sonora, Mexico while working with H2O.ai.
What companies has Ruben Alvarez Martinez worked for?
Ruben Alvarez Martinez has worked for H2O.Ai, Tariy, Microsoft, Dev.F, and Gila Software.
Who are Ruben Alvarez Martinez's colleagues at H2O.ai?
Ruben Alvarez Martinez's colleagues at H2O.ai include Luckygirl Gayetaye, Tisha Jones, Arthur Kantor, Michał Marszałek, and Poorna Cooray.
How can I contact Ruben Alvarez Martinez?
You can use AeroLeads to view verified contact signals for Ruben Alvarez Martinez at H2O.ai, including work email, phone, and LinkedIn data when available.
What schools did Ruben Alvarez Martinez attend?
Ruben Alvarez Martinez holds Me Electronic And Computer Engineering, Electrical, Electronics And Communications Engineering from University College Dublin.
What skills is Ruben Alvarez Martinez known for?
Ruben Alvarez Martinez is listed with skills including Product Design, Product Innovation, Embedded Systems, Product Development, Machine Learning, Data Analysis, Python, and Optimization.
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