Who is Matias Ezequiel Varela? Overview
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Matias Ezequiel Varela is listed as Eng. Manager Data Product at Kilimo, based in Argentina, Argentina, Argentina. AeroLeads shows a matched LinkedIn profile for Matias Ezequiel Varela.
Matias Ezequiel Varela previously worked as Machine Learning Engineer at Kilimo and Profesor universitario a tiempo parcial at Universidad Tecnológica Nacional. Matias Ezequiel Varela holds Programa De Perfeccionamiento En Cloud Computing: Cloud Devops, Computer Science from Universidad De Mendoza.
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About Matias Ezequiel Varela
I am a computer engineer, specializing in development. My main programming language is Python (with over 13 years of experience).In recent years, outside of my professional scope, I became interested in blockchain technology and web3. I completed several courses and tutorials on Solidity and Vyper, creating web3 applications with React and web3.js. I have also academically developed trading bots integrated with exchanges such as Binance and Kucoin.My most recent formal study was the Postgraduate Program in Crypto, Blockchain, and DeFi at the Universidad del Cema.In my professional career, I have worked as a Python Backend Engineer, closely collaborating with AI teams. Currently, I am building microservices for AI/IoT products (using FastAPI/Starlette, TimescaleDB/Postgres/MongoDB/Redis, Ceph/S3, Docker/Kubernetes, Envoy, etc.) at EpicIO.A bit further back, I delved into frontend technologies such as Angular, Vue.js, Ionic, PWA, while simultaneously developing the backend counterpart (I was a Fullstack developer). During that time, I primarily worked with Django as a framework, but I also have experience with desktop applications using Qt and GTK.In my early days as a developer, I built applications with Java, both for the web and desktop (Swing). Later on, I transitioned to C#, working on web projects (.NET MVC 4) as well as desktop applications (Windows Forms, WPF). Throughout these years, I also developed Android applications integrating Bluetooth peripherals, NFC, GPS, and bill counters.
Matias Ezequiel Varela's current company
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Matias Ezequiel Varela work experience
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Machine Learning Engineer
CurrentI am a Machine Learning and MLOps Engineer. I help to the data team to go from the notebook to production.
Profesor Universitario A Tiempo Parcial
CurrentProfesor adjunto Algoritmos y Estructuras de Datos
Back End Engineer
Propietario
Servicios informáticos. Desarrollo de software. Consultoría. Asesoramiento.https://www.mava.com.ar
Ml Technical Leader
Software Development Sr Analyst
Backend Python en el área de Machine Learning Applied.
Profesor Universitario
Profesor JTP de Computación - Ingeniería en InformáticaProfesor JTP de Aseguramiento de la Calidad del software - Ingeniería en InformáticaIntegrante del comite de seguimiento de plan de estudio.Docente colaborador en investigación "Ethical Hacking".
Desarrollador
Desarrollador freelance. Trabajos en python/Django, Css3, Bootstrap3, PyQt.
Propietario, Desarrollador
Servicios en el Desarrollo de sistemas a medida. Diseño, desarrollo y alojamiento web profesional. Servicios en tele-informática, acceso remoto seguro, cableado estructurado.
Desarrollador
Administrador De Red
Matias Ezequiel Varela education
Programa De Perfeccionamiento En Cloud Computing: Cloud Devops, Computer Science
Ingeniero En Informática, Ingeniería Informática
Frequently asked questions about Matias Ezequiel Varela
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What company does Matias Ezequiel Varela work for?
Matias Ezequiel Varela works for Kilimo.
What is Matias Ezequiel Varela's role at Kilimo?
Matias Ezequiel Varela is listed as Eng. Manager Data Product at Kilimo.
Where is Matias Ezequiel Varela based?
Matias Ezequiel Varela is based in Argentina, Argentina, Argentina while working with Kilimo.
What companies has Matias Ezequiel Varela worked for?
Matias Ezequiel Varela has worked for Kilimo, Universidad Tecnológica Nacional, Epic Io Technologies, Mava Ing., and Mercado Libre.
How can I contact Matias Ezequiel Varela?
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What schools did Matias Ezequiel Varela attend?
Matias Ezequiel Varela holds Programa De Perfeccionamiento En Cloud Computing: Cloud Devops, Computer Science from Universidad De Mendoza.
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