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Master Caffe from our Caffe tutors, mentors, and teachers who will personalize a study plan to help you refine your Caffe skills. Find the perfect Caffe tutor now.
Master Caffe from our Caffe tutors, mentors, and teachers who will personalize a study plan to help you refine your Caffe skills. Find the perfect Caffe tutor now.
Caffe tutor
Hi! I love Java, Python, Javascript, distributed systems, large scale systems, machine learning, natural language processing and image processing. My work has been featured on the AWS blog (https://tinyurl.com/chaosrunner), The Guardian (https://tinyurl.com/topvocab) , Billboard.com (https://tinyurl.com/topprofane) and other print/digital publications. I also own Amazon's chaos testing framework called AWSSSMChaosRunner (https://github.com/amzn/awsssmchaosrunner). I am a Senior Engineer at Amazon's Prime Video and have worked on scaling backend systems to millions of transactions-per-second, utilising various cloud technologies and primarily working with Java, Kotlin and Javascript. This involves image/audio/text processing systems, creating & managing databases/APIs for mobile/web applications and everything in between. I have 15yrs+ experience with backend engineering, cloud tech, nlp, signal processing and image processing. I can help you with any of these topics. I also love hackdays and have attended 20 hackdays in Europe in the last couple of years and collaborated with beginners/experienced developers on different kinds of projects. Thanks for reading and hope to talk to you soon!
Caffe tutor
I'm a Lead Mobile Developer with a track record of delivering creative and engaging solutions for various industries, including fintech (Brubank), retail (Apple), online collaboration (Mural), machine learning (Austrian Institute of Technology), education (Mimo) and consulting firms (Theorem & Wolox). I have a strong educational background, with a degree in software engineering from ITBA (Argentina, 2017) and a master's degree in software engineering from UAS Technikum Wien (Austria, 2018). I'm currently pursuing a degree in philosophy at USAL since 2021. I'm interested in technical lead positions and have a proven track record in: \- Mentoring and coaching other developers (https://www.codementor.io/franciscodepascuali) \- Conducting code reviews \- Assessing candidates through technical interviews. \- Leading and proposing architectural decisions for client-facing problems. \- Working with complex problems, such as sockets in online collaboration, augmented reality apps, and - Apple's proprietary technology (https://developer.apple.com/documentation/multipeerconnectivity). \- Delivering workshops and talks on Combine, Rx, App Architecture, Coordinators, and Unit Testing. \- Configuring and building automation workflows for different apps using Bitrise, Jenkins and Fastlane. - I've documented some of my work on my blog https://deep-thought.netlify.com/posts/using-docker-fastlane. I'm proud of my professional accomplishments, which include: \- An honorable mention at UAS Technikum Wien for my Master Thesis in Machine Learning \- First place in a hackathon organized by Wolox featuring an app that allows you to control and fight against other drones \- Talks at the SwiftBA meetup. \- Contributed to Brubank (4.7 stars in App Store), Mural (4.8 stars), Apple (in retail technologies non-disclosable work) and Mimo (4.8 stars). I'm proficient in various technologies, including: \- Over 4 years of experience with React Native. \- Over 8 years of experience with Swift, SwiftUI, and Objective-C, including mastery of Rx technologies (RxSwift and Combine) and application of multiple design patterns (Coordinators, MVC, MVVM, Unit testing, crash reporting, CI, automation, storyboards and programmatic views). \- Over 2 years of experience in Python and Machine Learning (AI), where I worked and helped advance the state of the art in synthetic dataset generation for object detection. \- Other tools like Firebase, Firestore, Splunk, and Bitrise (CI). Please feel free to reach out if you have any questions or would like to learn more about me. Cheers! Depa
Caffe tutor
8+ years of experience in Machine Learning R&D with hands-on work ranging from prototyping code in academic publications to integrating solutions into production. Proficient in the entire lifecycle of a Machine Learning project, with a focus on Deep Learning applications in Computer Vision. Additional experience extends to speech, NLP, and tabular data domains. Skilled in writing clean, efficient, and scalable Python code, with a commitment of adhering to good MLOps practices.
Caffe tutor
I I have six years of Python experience and three years of research experience in solving complex Deep Learning problems. Ground Rules: 1. Payments will only be accepted via Codementor platform. 2. I will refund the amount if you are not satisfied. 3. max( myrate, yourrequestRate ) will be applicable.
Caffe tutor
I'll do my best guiding you in areas of Data science,Machine/Deep learning,web development using Python, Version Control System (Git), and some hacks to be more productive. I've been to a lot of hackathons and have won some.Currently, I'm part Stanford's Scholar Initiative and doing independent research on Machine/Deep Learning. Also I am a core member of PyData community and have given some talks there and love to mentor people.
Caffe tutor
I work in the intersection of research and development for computer vision. My skills are developing algorithms, testing them, visualizing them, and providing a path for them to reach production on any kind of hardware. I've worked on computer vision and deep learning problems, using mostly Python for visualization and C++ for production code. I have experience bringing these algorithms down to C for microcontrollers. I love thinking through algorithms, problems, constraints, and best of all, getting people started on their path through learning to code. In my spare time I maintain an introductory Python blog at http://practicepython.org and am starting to learn Julia.
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See the power of our Caffe tutors through glowing user reviews that showcase their successful Caffe learning journeys. Don't miss out on top-notch Caffe training.
“As someone who is very new to programming, I couldn’t have asked for a better mentor. He was incredibly patient, explained things clearly, and never made me feel like my questions were too basic. I came into the session feeling overwhelmed, but he broke things down in a way that actually made sense. It’s clear he knows his stuff and genuinely enjoys helping others.“
issasham / Jun 2025
Olajide Olanrewaju
Caffe tutor
“Jiya is very knowledgeable about troubleshooting and helping with my JavaScript, Node.js, and React. I appreciate his help! He greatly helped me with fixing the underlying issue for which I was researching the question about the cookie.“
Christopher Paul Rains / Jun 2025
Jiya Pathani
Caffe tutor
“Richard is an excellent codementor. In just one hour, he clarified a couple of fundamental programming concepts about AI and applications in the programming that have confused me for a month. I'm going to ask him a lot of questions so I can learn. You should too.“
bryan byrne / Jun 2025
Richard Bailey
Caffe tutor
“Intro call for a personal project of mine went very well. It is evident he is a professional, answered my questions clearly and gave good advice and was easy to talk to. I talk in lots of circles and tangents but he was able to link back to previous points and follow and expand the picture. I would recommend.“
Jonathan / Jul 2025
Olamide Soyoye
Caffe tutor
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We'll help connect you with a Caffe tutor that suits your needs.
Find the most suitable Caffe tutor by chatting with Caffe experts.
Arrange regular session times with Caffe tutors for one-on-one instruction.
Learning Caffe effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
The time it takes to learn Caffe depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
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By leveraging these benefits, you can significantly improve your competency in Caffe in a structured, supportive, and effective environment.
Personalized Caffe mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Caffe.
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