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As a Staff Backend & Lead Mobile Engineer, I've navigated through diverse sectors such as fintech, retail, online collaboration, machine learning, education, and consulting, contributing to leading companies including JPG Store, Apple, Brubank, Mural, Austrian Institute of Technology, Mimo, Theorem, and Wolox.
Aside from leading technical teams, I find fulfillment in mentoring others. I'm an active mentor at CodeMentor and MentorCruise, with more than 60 ⭐⭐⭐⭐⭐ reviews. This role has allowed me to guide many developers on their career paths, share insights from my professional experience, and teach advanced programming topics that you learn only when you have had several years on the industry.
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 also expanding my horizons into philosophy at USAL since 2021.
I have a proven track record in:
\- Conducting code reviews
\- Assessing candidates through technical interviews.
\- Leading and proposing architectural decisions.
\- Working with complex problems, such as sockets in online collaboration.
\- 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.
\- Advanced react native knowledge.
My technical expertise spans:
\- Over 5 years of experience with Node.js, Nest, PostgreSQL.
\- Over 8 years of experience with React Native (and React JS)
\- Over 10 years of experience with Swift, SwiftUI, and Objective-C, including mastery of Rx technologies (RxSwift and Combine) and 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.
\- Tools like Firebase, Firestore, Splunk, and automation (fastlane - github actions).
Some of my professional achievements include an honorable mention for my Master Thesis, winning a hackathon organized by Wolox, and contributing to high-rated (4.9+) apps on the App Store.
I'm always open to discussing software or philosophical topics. I sporadically write to my blog, you're welcome there https://deep-thought.netlify.app/pages/showcase
Looking forward to connecting,
Depa
Total experience: 7 years.
Tech stack: Golang, C/C++, Typescript, Python, React, React Native, Docker, GCP, AWS, Terraform, bash, git, OpenAPI, RESTful APIs, microservices.
Education: Computer Science from University of Waterloo (Canada)
Experiences:
2016-2021: Cisco Systems Inc. Designed and implemented software for Cisco's flagship routers and enterprise switches. Worked with protocols such as BGP, EVPN, VPN, PWHE, MPLS, IPv4, IPv6, LISP, BFD, Openflow, etc.
2021-current: Working with startup company Synctera to help them building Banking-as-a-Service platform. I am responsible for designing and implementing public backend APIs in Go and OpenAPI spec.
An idea. That’s all it took to spark the passion and obsession I have for programming.
That idea? Machine learning based aim assistance for a game.
Good first project? Not even a little.
Good experience? It has sent me on a life long quest of learning about the world of computer science, so I’ll let you be the judge :)
Getting from the idea stage with no coding experiences to a fully realized project wasn’t easy to say the least. In fact, it took me an entire year. If you’re curious on what happened during that year, have a look at my blog post!
If you are ever in a rut, out of ideas and don’t know how to solve a really weird bug, I'm here to help. I've struggled in the past so you don't have to now :)
Greetings!!
I have 8+ years of experience in developing python applications to design and develop, innovative, robust, and cost-effective business solutions using various machine learning and deep learning models. My expertise is in Data Mining, NLP, Computer Vision, Predictive Analysis , Time Series analysis and Text Analytics.
I, as a part of the AI team, have led and implemented solutions which have saved over 1000+ man-hours/per year, by automating redundant tasks and processes while enhancing their performance
Luka is a Machine Learning Engineer with more than 3 years of experience. He had the pleasure of working with clients from various countries and industries. Luka is passionate about technology, education, and providing value to his clients.
See the power of our Object detection tutors through glowing user reviews that showcase their successful Object detection learning journeys. Don't miss out on top-notch Object detection training.
“The lesson was very informative. We covered creating an Okta account and using the dashboard to setup an app, creating user accounts and logging them in by calling endpoints, and login page with redirect url to app home page.“
Derek Smith / Nov 2024
John Oladele
Object detection tutor
“Olamide was a tremendous help. Even though I needed a document produced in French, he helped me understand all the complex data, translated it for me, and perfectly understood the problem I presented. It was truly a pleasure working with him, and I can wholeheartedly recommend him. Thank you very much for your expertise and knowledge.“
Alex9u / Nov 2024
Olamide Soyoye
Object detection tutor
“Anup is amazing! His business acumen and personality are both top-notch. I'm incredibly appreciative of the time he spent with me, appending queries and teaching me how to use Power Query. He's also super responsive and always on time, which I really appreciate.
As someone with dyslexia, I sometimes struggle with directional instructions, but Anup was very patient and understanding. I'm so grateful I found him and will definitely reach out for more training in the future.“
genevieve Perry / Nov 2024
Anup Mistry
Object detection tutor
“I spent 7 hours with a team over two days trying to figure out an issue that Olaide kindly, and easily fixed in 30 minutes. We still have not heard back from WebFlow support and are so grateful Olaide was able to hop on quicky and get it resolved.“
Naima Nawabi / Nov 2024
Olaide Alaka Afolayan
Object detection tutor
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We'll help connect you with a Object detection tutor that suits your needs.
Find the most suitable Object detection tutor by chatting with Object detection experts.
Arrange regular session times with Object detection tutors for one-on-one instruction.
Frequently asked questions
How to learn Object detection?
Learning Object detection 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:
Understand the basics: Start with the fundamentals of Object detection. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Object detection, laying a solid foundation for further growth.
Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
Seek expert guidance: Connect with experienced Object detection tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
Join online communities: Engage with other learners and professionals in Object detection through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Object detection skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Object detection in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Object detection is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Object detection?
The time it takes to learn Object detection 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:
Beginner level: If you are starting from scratch, getting comfortable with the basics of Object detection typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Object detection’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Object detection generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Object detection, contributing to major projects, and possibly specializing in specific areas within Object detection.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Object detection. Engaging with new developments, tools, and methodologies in Object detection is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Object detection tutor on Codementor?
The cost of finding a Object detection tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
Tutor experience: Tutors with extensive experience or high demand skills in Object detection typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Object detection tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Object detection with a dedicated tutor?
Learning Object detection with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Object detection, but exceling in a way that directly aligns with your objectives.
Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Object detection can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
Career guidance: Tutors can also offer guidance on how to apply Object detection in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Object detection in a structured, supportive, and effective environment.
How does personalized Object detection mentoring differ from traditional classroom learning?
Personalized Object detection mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
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 Object detection.