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- Senior software architect and polyglot programmer with 18+ years of experience.
- Seasoned solutions architect with extensive experience in distributed and serverless architectures, primarily but not limited to AWS.
Greetings! I'm an **iOS developer** with a passion for crafting apps that blend simplicity with **cutting-edge ML technology**.
With **over a decade of experience**, I specialize in **Swift**, **SwiftUI**, and **UIKit**, creating scalable and modular solutions.
My recent focus is on automating tasks using **LLMs** and **Stable Diffusion**, enhancing dev experience and marketing through **next.js** and **API-served ML models**.
Expect meticulous planning and robust **advice on architecture** and **tech choices** when working with me.
I've transitioned from traditional roles to focus on creating tools that offer freedom and balance, aligning with my values of health, family, and adventure.
Let's create something revolutionary together.
I've poured my passion into these big projects:
- [Whisperboard](https://apps.apple.com/us/app/whisperboard/id1661442906) open-source voice transcription app
- [GetLost](https://apps.apple.com/us/app/getlost-explore-consciously/id1584133759) social network for travelers
- nu.nl - Biggest dutch news provider
- [Uber](https://uber.com) worked wallet experience in iOS client
Software designer & developer for iOS, MacOS, other Apple platforms, Linux server backend systems, and interactive media platforms. Solid artistic and technical skills w/ a good feel for user experience and human / computer interaction. Specialization in open source AI (ex: Stable Diffusion/TextualEmbedding/ControlNet, Kandinsky, Llama, Whisper, YOLO, etc.) and building systems that use AI, Apple and Linux platforms, virtual reality, intellectually and creatively stimulating systems involving computer-generated art, general product development, and research projects.
I particularly enjoy teaching / mentoring, UI design and implementation, software product design and development, AI (generative, cognitive, analytical, etc.), in-depth vocal interactivity, robotics, game design and development, and/or building / leading a team.
Looking for an expert in Machine Learning, Data Science, Computer Vision, GAN, NLP, CHATGPT, GEMINI, Stable Diffusion, PyTorch, TensorFlow, LangChain, LlamaIndex, real-time chatbot agents, customer recommendation systems, churn modeling, dynamic pricing, fraud detection, and image recognition?
Let's talk.
At Google Brain Team, I was developing the TensorFlow library that is the most popular machine learning library. I love the using TensorFlow because I know the infrastructure very well. I have been working on Artificial Intelligence topics for about 4 years. I 'm following latest papers from AI projects and even have a blog that I review. I have also contributed several various open source AI projects, such as jax, flax, fastai, etc.
I have direct experience in the following technologies/topics:
✅ Machine Learning (Deep Learning, Clustering, Classification, Regression, SVM, PCA, KNN, etc)
✅ Computer Vision (Image Classification, Object Detection, Object Tracking, Image Segmentation, GANS, Pix2Pix, StyleGAN, etc.)
✅ Natural Language Processing, (RNN, Transforms, Named-Entity Recognition, Sentiment Analyzing, Summarizing, SOA Models(Bert, GPT, T5))
My toolkit:
✅ TensorFlow (Core, Addons, Datasets, TensorBoard, TFLite),
✅ PyTorch,
✅ Scikit-Learn,
✅ Numpy,
✅ Pandas,
✅Matploblib,
✅ NLTK,
✅OpenCV,
✅Knet.jl,
✅Jax,
✅spaCy,
✅Hugging Face,
I love working on challenging topics and it is of immense significance to me personally to develop high-quality software. I am a process-orientated person and most of my customers find it useful to finish tasks effectively.
See the power of our Stable Diffusion tutors through glowing user reviews that showcase their successful Stable Diffusion learning journeys. Don't miss out on top-notch Stable Diffusion training.
“James took the time to look at my Power Automate flow and work out what the issue was with the specific phrasing that was stopping it from working.
Not only am I really pleased with the results of our troubleshooting sessions, but he was a joy to talk to and was patient with me throughout.“
QualityChimp / Dec 2024
James D. Bartlett III
Stable Diffusion tutor
“I’m really pleased by Stefano's teaching style. He’s patient, explains Java concepts clearly, and goes at a pace that works well for beginners like me. He ensures I understand the material before moving on. I’ve already learned a lot in our lessons, and I’m excited to continue learning with him. Highly recommend!“
Alexia Constant / Dec 2024
Stefano Maglione
Stable Diffusion tutor
“Olamide is fantastic; I had a great tutoring session. He took the time to understand my questions and helped me both achieve and understand the solutions working in Webflow. Very knowledgeable, providing holistic advice on moving forward in my project across different platforms.“
Courtney Hull / Dec 2024
Olamide Soyoye
Stable Diffusion tutor
“Sukhrobbek was incredibly helpful with my task, demonstrating deep knowledge of C#, Selenium, and the entire automation process. His expertise and problem-solving skills made a complex issue much easier to tackle.“
Aleksandr Dubovik / Dec 2024
Sukhrobbek Gayratov
Stable Diffusion tutor
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Frequently asked questions
How to learn Stable Diffusion?
Learning Stable Diffusion 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 Stable Diffusion. 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 Stable Diffusion, 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 Stable Diffusion 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 Stable Diffusion through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Stable Diffusion skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Stable Diffusion in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Stable Diffusion 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 Stable Diffusion?
The time it takes to learn Stable Diffusion 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 Stable Diffusion 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 Stable Diffusion’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Stable Diffusion generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Stable Diffusion, contributing to major projects, and possibly specializing in specific areas within Stable Diffusion.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Stable Diffusion. Engaging with new developments, tools, and methodologies in Stable Diffusion 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 Stable Diffusion tutor on Codementor?
The cost of finding a Stable Diffusion 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 Stable Diffusion 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 Stable Diffusion 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 Stable Diffusion with a dedicated tutor?
Learning Stable Diffusion 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 Stable Diffusion, 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 Stable Diffusion 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 Stable Diffusion 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 Stable Diffusion in a structured, supportive, and effective environment.
How does personalized Stable Diffusion mentoring differ from traditional classroom learning?
Personalized Stable Diffusion 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 Stable Diffusion.