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Tanisha Bhayani
GPU tutor
US$35.00 /15 min6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
- GPU
- SQL
- Git
- Machine learning
- Computer Vision
- NLP
- Gunicorn
- Cython
- AI
- Python
- MySQL
- MongoDB
- Angular
- Flask
- PostgreSQL
- OpenCV
- Azure
- NumPy
- Matplotlib
- Pandas
- Tkinter
- Scipy
- Web Scraping
- TypeScript
- Scrapy
- Web Development
- Docker
- React
- Google Cloud Platform
- Research
- Kubernetes
- Deep Learning
- TensorFlow
- Keras
- Responsive Web Development
- Cloud Functions
- Mobile App Development
- Deep Reinforcement Learning
- PyTorch
- Computer Vision Engineering
- Open Source Software
- OpenAI
- AWS SageMaker
- TensorFlow.js
- GPT
- Machine Learning Deployment
- Machine Learning Research
- GPT-3
- Deep Learning Pipeline
- Machine Learning System Design
- AWS
- OpenAI APIs
- Machine Learning Frameworks
- GPT-4
- Machine Learning Models
- AI Chatbot
Ghazi Triki
GPU tutor
US$40.00 /15 minI'm a dynamic Technical Director hailing from Tunisian shores, known for my resourceful strategies in technology and innovation globally. Currently, at RIADVICE, I am redefining the technological landscape. My contributions are far-reaching, as I've been instrumental in pioneering strategic consulting services and crafting hybrid infrastructures that seamlessly blend bare-metal and cloud technologies. My contributions have been pivotal in the success of numerous commercial and open - source projects. I've nurtured global partnerships with industry giants like OVHcloud and Datacomm, and have also expanded our horizons across multiple countries namely - 🇸🇦 Saudi Arabia 🇦🇪 United Arab Emirates 🇴🇲 Oman 🇶🇦 Qatar 🇰🇼 Kuwait 🇫🇷 France 🇺🇲 United States 🇹🇷 Turkey 🇵🇹 Portugal 🇰🇷 South Korea 🇨🇦 Canada 🇪🇪 Estonia 🇩🇪 Germany 🇦🇹 Austria 🇲🇦 Morocco 🇨🇾 Cyprus 🇵🇱 Poland 🇪🇬 Egypt 🇦🇿 Azerbaijan 🇨🇳 China 🇬🇧 United Kingdom 🇧🇪 Belgium 🇩🇰 Denmark 🇳🇬 Nigeria 🇱🇧 Lebanon 🇮🇹 Italy 🇬🇷 Greece 🇧🇩 Bangladesh 🇯🇴 Jordan 🇹🇳 Tunisia 🇪🇸 Spain 🇨🇿 Czech Republic 🇿🇦 South Africa 🇲🇽 Mexico 🇸🇪 Sweden 🇳🇿 New Zealand 🇨🇭 Switzerland 🇨🇮 Ivory Coast 🇧🇷 Brazil 🇮🇳 India 🇳🇱 Netherlands 🇦🇺 Australia 🇭🇰 Hong Kong 🌐 Fluent in the Language of Possibility 🌐 Apart from coding languages, I speak Arabic and French, both at a native or bilingual level, and I'm highly proficient in English.
- GPU
- C#
- SQL
- Ruby on Rails
- Server
- XML
- ActionScript 3
- PostgreSQL
- Amazon S3
- Continuous Integration
- Adobe AIR
- Windows Server
- Grafana
- Agile
- Ruby
- PHP
- Java
- Scala
- MySQL
- Git
- Database
- CodeIgniter
- Shell
- Apache Flex
- CakePHP
- Grails
- GitHub
- Nginx
- Groovy
- Jenkins
- Flex4
- Adobe
- SBT
- Modules
- CMS
- Symfony
- Composer
- Framework
- OpenResty
- Administration
- Fork CMS
- BigBlueButton
- Starling
- Robotlegs
- Parsley
- Mobile App Development
- Querying
- Apache Maven
- Open Source Software
- Apache tomcat
- Apache HTTP Server
Fabrizio Milo
GPU tutor
US$30.00 /15 min
I help companies strategize, architect, and execute cloud products using deep learning solutions applied to their data. I have spoken at numerous conferences about systems, languages, and neural network architectures. My expertise lies in people, processes, and products for machine learning. I am currently based in Los Angeles, California (PST Timezone). Currently working on HPC infrastructure for training and deploying LLM and researching innovative methods to generate code using LLMs
- GPU
- C
- OOP
- Deep Learning
- Swift
- PyTorch
- Go
- AWS
- Python
- Java
- Xcode
- String
- API
- Google App Engine
- Pointers
- Inheritance
- NumPy
- Amazon EC2
- CUDA
- Amazon S3
- Pandas
- Machine learning
- Scipy
- Web Development
- Docker
- Amazon SQS
- Interfaces
- Array
- Amazon RDS
- AWS Data Pipelines
- Neural Networks
- DynamoDB
- Amazon Redshift
- GPGPU
- AWS DynamoDB
- TensorFlow
- Gpu programming
- Pycuda
- Conv neural network
- iOS
- Aws elastic beanstalk
- Elasticache
Éderson André de Souza
GPU tutor
US$25.00 /15 minPython | Scala | LLM | Langchain | Machine Learning | Data Scientist | Computer Vision Passionate Data Scientist and Computer Vision Engineer with a proven track record of leveraging machine learning to create value-driven solutions that enhance company outcomes and customer experiences. Specializing in insurance underwriting models, I have demonstrated adaptability and a keen interest in exploring new domains. My expertise lies in building robust Python and Scala applications for diverse purposes, including production line inspections where I develop applications that capture real-time images from cameras, extracting crucial data for quality assurance and production metrics. Key Areas of Expertise: Data Science: Proficient in both Supervised and Unsupervised Learning, with a strong background in recommenders, forecasting, classification, and anomaly detection. Computer Vision: Skilled in image classification and object detection using Pytorch and TensorFlow, and experienced in utilizing OpenCV for various vision tasks. LLM: Utilizing LLM in conjunction with Langchain for RAG systems, focusing on task automation and interactions with APIs. Knowledge in: MLOps, Deep Learning, NLP, BI with Power-BI, and Insurance Underwriting Models. Main Tools: Python, Scala, Jupyter Notebooks, VS Code, Git, Numpy, Pandas, Sklearn, Pytorch, Airflow, DVC, MLFlow, Docker, OpenCV.
Chris
GPU tutor
US$15.00 /15 minSenior Software Engineer with 8+ years of experience in developing, maintaining and performing optimization techniques for all sorts of amazing projects using controllers like Arduino, ESP32, Nvidia Jetson, Ti Hercules and many more. I work full-time as an Engineer in the Automotive sector using languages such as C, C++, Python and C#. Next to these I bring a broad skillset in frameworks such as Nvidia Cuda, ROS and FreeRTOS. I love to share my knowledge with other developers so that they can grow and accomplish their goals.
- GPU
- Linux
- Azure
- CUDA
- ROS
- ESP32
- Automotive Embedded Systems
- C++
- C
- Debugging
- Image Processing
- Parallel Processing
- Arduino
- ARM
- Continuous Integration
- Hardware
- Scrum
- Continuous Deployment
- IoT
- Deep Learning
- Embedded Systems
- FreeRTOS
- TensorFlow
- GPU Acceleration
- Agile
- LiDAR Sensor
- PCB Design
- RESTful API
- Driver development
- Cuda c++
- Microcontroller Programming
- Can bus communication
Matei Copot
GPU tutor
US$15.00 /15 minI'm Matei, a full-stack developer with over 10 years of experience, specializing in JavaScript, React, and Node.js. I help developers at all levels overcome challenges, from debugging complex issues to understanding core concepts. My approach is patient and tailored to your needs, ensuring you gain confidence and clarity in your coding journey. Format: - regular (long term) or one-time - for any level (beginner/intermediate/advanced) - 45-90min sessions, up to 6hrs on request - personalized take-home tasks & resources Availability: - until Jul 15: 4:00-6:00, 15:00-18:00 UTC - after Jul 15: 4:00-18:00 UTC - last minute or late night sessions on request (email matei@copot.eu) Technologies: - JavaScript: ESNext, NodeJS/Deno, TypeScript, React, Vue, NodeMCU, & more - Front-end Web Dev: HTML5, CSS3, responsive design, PWAs, SPAs, & more - Back-end Web Dev: Express/NextJS APIs, Python, AWS, Docker, SQL, PHP, & more - App Dev: Mac/Linux & Android, Electron, Expo, Python, Stripe, UX, & more - others: always curious about other technologies, e.g. haskell, ruby, WASM, WebGL... = Why me? I'm typically paid €100/hr by top companies, so the lower rate here means you're getting top-tier expertise at an accessible price. I enjoy mentoring because it brings variety and a more collaborative and relaxed dynamic. I have a proven track record of guiding learners from zero experience to landing high-paying jobs. My teaching adapts to your pace and goals — you'll always get honest, actionable advice, including what’s realistic and what’s not. If you're serious about growing your skills or career in tech, I’d be glad to support your journey.
- GPU
- HTML/CSS
- Django
- Node.js
- Git
- Linux
- API
- CSS3
- PostgreSQL
- Ubuntu
- Azure
- Selenium
- GitHub
- Nginx
- SSH
- OAuth
- 3D
- CUDA
- SMTP
- Maps
- LESS
- Raspberry Pi
- Markdown
- Jira
- Speech Recognition
- Simulation
- Physics
- Gstreamer
- GitLab
- Web Development
- Leaflet
- Mathematics
- Algorithm
- Zsh
- Mocha
- Docker
- React
- Google Cloud Platform
- tmux
- Chai
- JavaScript
- Adobe Photoshop
- Kubernetes
- Swagger
- Legacy Code
- Sentry
- Eslint
- Jira Administration
- Docker Compose
- Redux
- Slack
- Intellij
- WebStorm
- Grafana
- AWS Lambda
- Growth Strategies
- Vue Router
- Color Theory
- Windows Application
- MVP Architecture
- PyTorch
- VS Code
- Data parsing
- RESTful API
- Open Source Software
- SCSS
- Sass
- Express.js
- macOS
- AWS
- Ruby
- PHP
- Python
- Java
- C++
- C
- SQL
- Haskell
- MongoDB
- Angular
- R
- Vim
- SVG
- Responsive Design
- WebSocket
- Redis
- Web Scraping
- WebGL
- TypeScript
- Accessibility
- Stripe
- UI design
- Google BigQuery
- Auth
- WebRTC
- Couchbase
- Jwt
- Jest
- Webpack
- Semantic Markup
- Amazon Redshift
- Electron
- MobX
- Bulma
- Vuex
- Progressive Web Apps
- Next.js
- Snowflake
- Nuxt.js
- WebAssembly
- Cypress
- Tailwind css
- Vue.js
- ClickHouse
- DBT
- Deno
- Vercel
- Supabase
Find your personal GPU tutor on Codementor today 
Users love our GPU tutors
See the power of our GPU tutors through glowing user reviews that showcase their successful GPU learning journeys. Don't miss out on top-notch GPU training.
“Amazing is the one word that I would utilize to use this person. You were so patient and calm with my slowness in learning, and you were able to help so much in my problems. You not only took the time out to explain where the problems were stemming from, but how to resolve them and what I could do in the future. I 100 percent will contact you again if I have any issues or if anybody has any questions I would hands down recommend to you.“
Tiffany Myers / Jun 2025
Olajide Olanrewaju
GPU tutor
“I highly recommend Pazia as a tutor. She consistently looked for the most effective ways to help me grow, both technically and in my interview preparation. It was clear that she genuinely cared about helping me succeed and always tailored her approach to what would benefit me the most. Her dedication and insight made a big impact on my learning and confidence.“
Stella Chang / Jun 2025
Pazia Bermudez-Silverman
GPU tutor
“Kian hopped on quickly and we got right down to business. He was great. He did not start the clock until after a quick get-to-know-you. We coded up a couple of quick tests to find out what was wrong with my React/MERN app on Render hosting. Fortunately we solved it. Unfortunately it all boiled down to a mistake that Render should fix (Extra space(s) in rewrite rules will not be trimmed and will break your site, even though the build appears successful). Once the issue was solved he stopped the clock immediately, even though he still wanted to look at a few things to ensure that we had solved it. I thought that was super kind. Great guy. Easy. Cool. Laid back. Smart, and clearly experienced.“
Clark Cooper / Jun 2025
Kian Khosh
GPU tutor
“Pazia is not only knowledgeable but also incredibly professional. She took the time to listen to my concerns and customized her teaching style based on what worked best for me. It was clear that she genuinely cared about my progress and was always thinking of the most effective ways to help me improve. I truly appreciated her thoughtful approach and unwavering support. I highly recommend working with her!“
Stella Chang / Jun 2025
Pazia Bermudez-Silverman
GPU tutor
How to find GPU tutors on Codementor
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We'll help connect you with a GPU tutor that suits your needs.
Find the most suitable GPU tutor by chatting with GPU experts.
Arrange regular session times with GPU tutors for one-on-one instruction.
Frequently asked questions
How to learn GPU?
Learning GPU 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 GPU. 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 GPU, 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 GPU 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 GPU through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your GPU skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using GPU in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since GPU 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 GPU?
The time it takes to learn GPU 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 GPU 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 GPU’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in GPU generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of GPU, contributing to major projects, and possibly specializing in specific areas within GPU.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in GPU. Engaging with new developments, tools, and methodologies in GPU 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 GPU tutor on Codementor?
The cost of finding a GPU 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 GPU 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 GPU 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 GPU with a dedicated tutor?
Learning GPU 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 GPU, 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 GPU 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 GPU 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 GPU in a structured, supportive, and effective environment.
How does personalized GPU mentoring differ from traditional classroom learning?
Personalized GPU 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 GPU.
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