Ruben Alvarez Martinez Email and Phone Number
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.
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Senior Customer Data ScientistH2O.AiHermosillo, Son., Mx -
Solutions EngineerH2O.Ai Feb 2024 - PresentMexico
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Ai EngineerTariy Nov 2023 - Apr 2024Arizona, United StatesBuilt 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 2Microsoft Sep 2023 - Nov 2023Mexico -
Data & Applied ScientistMicrosoft Apr 2021 - Sep 2023• 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, labelling and development costs.• 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.
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MentorDev.F Mar 2022 - Jun 2022RemoteData science projects and TensorFlow Cert Training -
Machine Learning EngineerGila Software Nov 2020 - Feb 2021Hermosillo, Sonora, MexicoDefined 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 EngineerOmdena Oct 2020 - Nov 2020 -
Data ScientistHellogy Nov 2019 - Aug 2020Hermosillo, Sonora, MexicoDesigned, 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.
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Data ScientistPixail May 2019 - Nov 2019Hermosillo Area, MexicoCreated 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%.
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Masters StudentUniversity College Dublin Sep 2017 - May 2019County Dublin, IrelandMaster'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 EngineerAnalog Devices Jan 2018 - Aug 2018County Limerick, IrelandOutcomes:- 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 experimentation. -
Application EngineerElectro Controles Del Noroeste Sep 2012 - Jan 2017Hermosillo, SonoraOutcomes:- 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 industrial systems.- Filed two patents of sound and video products for process automation.I had to learn everything that there is to know about the mining and material processing industry, including the engineering challenges and business strategies. We were in charge of spotting weak areas or unattended opportunities in the process and then properly develop them.
Ruben Alvarez Martinez Skills
Ruben Alvarez Martinez Education Details
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Electrical, Electronics And Communications Engineering
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Instituto Tecnológico De Hermosillo90
Frequently Asked Questions about Ruben Alvarez Martinez
What company does Ruben Alvarez Martinez work for?
Ruben Alvarez Martinez works for H2o.ai
What is Ruben Alvarez Martinez's role at the current company?
Ruben Alvarez Martinez's current role is Senior Customer Data Scientist.
What schools did Ruben Alvarez Martinez attend?
Ruben Alvarez Martinez attended University College Dublin, Instituto Tecnológico De Hermosillo.
What are some of Ruben Alvarez Martinez's interests?
Ruben Alvarez Martinez has interest in Civil Rights And Social Action, Education, Environment, Science And Technology, Human Rights, Animal Welfare, Health.
What skills is Ruben Alvarez Martinez known for?
Ruben Alvarez Martinez has skills like Product Design, Product Innovation, Embedded Systems, Product Development, Machine Learning, Data Analysis, Python, Optimization, Object Oriented Programming, Signal Processing, C (Programming Language, Matlab.
Who are Ruben Alvarez Martinez's colleagues?
Ruben Alvarez Martinez's colleagues are Lasith Manujitha, Rihard Carson, Aike Sai, Poorna Cooray, Inthikab Hussain, Dinuka Appuhamy, Santiago Funes.
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Rubén Alvarez Martínez
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