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Ajay K
GPT-4 tutor
US$25.00 /15 minI’m an **AI engineer and cloud architect** with 14+ years of experience building and scaling real-world software systems. I help startups and product teams turn **LLM ideas into production-ready AI applications**, combining **LangChain/LangGraph**, **Java**, **Python**, **TypeScript**, and cloud-native architecture to deliver reliable, scalable results—not just demos. I specialize in **developing end-to-end AI systems**, including LLM-powered APIs, RAG pipelines, backend services, and event-driven microservices. With extensive hands-on experience in **Docker, Kubernetes, Azure, CI/CD**, and **Kafka**, I design AI platforms that are secure, observable, cost-efficient, and built to scale from the outset. Currently working at **Microsoft**, I bring enterprise-grade engineering discipline to fast-moving startup environments. I work comfortably in small, distributed teams, communicate clearly with technical and non-technical stakeholders, and focus on shipping AI features that directly impact users and business outcomes.
- GPT-4
- Python
- Java
- Angular
- Jenkins
- Elasticsearch
- Cloud
- TypeScript
- Maven 3
- Test driven development
- Docker
- Google Cloud Platform
- Leadership
- Spring Boot
- Apache Kafka
- Kubernetes
- Microservices
- AWS Lambda
- Architectural Design
- EC2 Instance Types
- AI
- AWS
- LLM
- JSON
- Azure
- Web Development
- Power BI
- CI/CD
- Azure Functions
- RESTful API
- OpenAI
- Microsoft Power Platform
- Langchain
Tanisha Bhayani
GPT-4 tutor
US$25.00 /15 min8 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 8 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. \- Hands-on experience across several advanced AI and graphics-related domains, including: * **3D graphics and reinforcement learning pathfinding** for autonomous driving systems, including work related to the **NASA Rover Challenge**. * **Brain tumor segmentation and classification** using computer vision and deep learning techniques. * **Video analytics and video classification**, including in-video action recognition and classification workflows.
- GPT-4
- SQL
- Git
- Database
- Machine Learning
- NLP
- Teaching
- Gunicorn
- Cython
- Kubernetes
- MLOps
- AI
- Generative AI
- LLM
- Python
- MySQL
- MongoDB
- Angular
- Flask
- PostgreSQL
- OpenCV
- NumPy
- Matplotlib
- Pandas
- Tkinter
- Scipy
- Web Scraping
- Computer Vision
- TypeScript
- Scrapy
- Web Development
- React
- Research
- Deep Learning
- TensorFlow
- Keras
- Responsive Web Development
- Chatbot
- Mobile App Development
- Deep Reinforcement Learning
- PyTorch
- Open Source Software
- OpenAI
- GPT
- GPT-3
Faizan Ali
GPT-4 tutor
US$40.00 /15 min> 100% success rate - full refund if I cannot solve your problem. Are you a software engineer dealing with tough problems? Recent bootcamp/college grad feeling overwhelmed? New job and struggling to keep up? Obscure technical problems in your code? I can help! <sub>My rate reflects my success guarantee and familiarity with the latest tech. You're paying for quality.</sub> ### Background ___ Seasoned full-stack Silicon Valley engineer. 7+ years of experience building & deploying robust applications from conception to production at large-tech company scale and startups. My core principle is **empathy** - understanding your unique situation & background allows me to work with you to develop the ideal solution for your problems. I enjoy teaching and promise you will leave our session having learned something new. ### Skills ___ I specialize in the Javascript stack with expertise in Typescript. Well-versed in building backend services and serverless functions in Node.js, talking to SQL/no-SQL databases, and frontend applications in React and Next.js. I can help in every step of the stack - from app conception to deployment (AWS, Vercel) and scaling, including local development best practices, testing, logging/alerting, and structure/layout. Typescript is my magic weapon. I pride myself on strong written + oral communication skills, and I know how to convey the right amount of information in a package unique to your understanding of a topic. <sub>If you want expertise beyond my listed skills, reach out. I may offer a discount if you need to accomplish a task using technology I'm interested in learning about.</sub>
- GPT-4
- HTML/CSS
- Java
- SQL
- Node.js
- Angular
- Bash
- PostgreSQL
- GitHub
- Amazon S3
- Mono
- TypeScript
- Handlebars.js
- npm
- Bootstrap
- Twilio
- Mocha
- Server Administration
- React
- Chrome Extension
- SendGrid
- Spring Boot
- Chai
- JavaScript
- Jest
- Mentoring
- Webpack
- hapi.js
- Microservices
- Intellij
- Datadog
- GraphQL
- Postman
- AWS Lambda
- Yarn
- Serverless
- Apollo
- Next.js
- TypeORM
- Aws elastic beanstalk
- RESTful API
- NestJS
- Prisma
- OpenAI
- Tailwind css
- GPT
- Nx
- GPT-3
- Express.js
- AWS
- Langchain
RamKumar Manoharan
GPT-4 tutor
US$20.00 /15 minAgentic AI Architect | Designing Autonomous AI Systems, Multi-Agent Workflows & Enterprise GenAI Solutions I specialize in architecting and building next-generation Agentic AI systems that combine Large Language Models (LLMs), autonomous agents, retrieval systems, and workflow orchestration to solve real-world business problems at scale. My work focuses on creating intelligent AI ecosystems capable of reasoning, planning, tool usage, memory management, and multi-step decision making across enterprise environments. With 16+ years of experience in AI, Machine Learning, Data Engineering, and Generative AI, I have designed and implemented production-grade AI solutions spanning AI Agents, RAG systems, Knowledge Graph integration, AI copilots, intelligent automation, and multi-agent orchestration frameworks. Key Areas of Expertise Agentic AI System Design & Architecture Multi-Agent Collaboration Frameworks Retrieval-Augmented Generation (RAG) Knowledge Graph + LLM Integration AI Copilots & Autonomous Workflows Prompt Engineering & Reasoning Systems AI Evaluation & Hallucination Reduction LLM Fine-Tuning & Optimization AI Workflow Automation Enterprise AI Solution Engineering Conversational AI & AI Assistants AI Governance, Safety & Reliability Technologies & Frameworks Python, FastAPI, Streamlit LangChain, LangGraph, CrewAI, Semantic Kernel OpenAI GPT, Claude, Gemini, Llama, Mistral Amazon Bedrock, Azure AI Foundry, AWS SageMaker ChromaDB, Pinecone, FAISS, Weaviate Neo4j Knowledge Graphs Hugging Face Transformers Docker, Kubernetes, APIs, MCP-based Architectures Vector Databases & Embedding Pipelines AI Monitoring & Evaluation Frameworks Areas I Mentor & Consult On Building AI Agents from Scratch Enterprise Agentic AI Architecture RAG Pipeline Development Multi-Agent System Design LangGraph & CrewAI Implementations Knowledge Graph for LLMs AI Product Architecture Generative AI Project Guidance AI Startup Technical Strategy Production Deployment & Scaling of AI Systems I actively mentor developers, startups, engineers, and enterprises in transforming AI concepts into scalable intelligent systems with a strong focus on practical implementation, architecture clarity, and industry-ready solutions.
Daniel Hough
GPT-4 tutor
US$16.00 /15 min
Senior software engineer with 10+ years of experience building full-stack apps (mainly Ruby on Rails, Alpine, Stimulus, Vue, and React as well as vanilla JavaScript). I’ve led major projects, mentored junior devs, and worked across startups and scaleups in the UK and Canada, and now I live in Australia. I can help you debug your code, level up your problem-solving skills, or figure out how to turn your ideas into real-world projects. Whether you’re stuck on a tricky Rails model, wrangling JavaScript reactivity, or just need a friendly pair of eyes on your code – I’m here to help.
Rohit Gupta
GPT-4 tutor
US$20.00 /15 minHi, I'm Rohit from India. I've worked as an ML Research Engineer at Lightning AI, focusing on their PyTorch Lightning project. Later, I became the ML Lead at Mazaal AI and now working at Shopadvisor AI as Founding AI Engineer. Alongside, I collaborated with clients on LLM-related projects and built full-stack ML projects as a freelance. My tech stack includes PyTorch, Python, Git, Docker, AWS, and GCP, with expertise in ML, NLP, and Speech. If you need a dedicated ML engineer to bring your ideas to life, let's chat!
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Users love our GPT-4 tutors
See the power of our GPT-4 tutors through glowing user reviews that showcase their successful GPT-4 learning journeys. Don't miss out on top-notch GPT-4 training.
“We discussed a bunch of product ideas I've been accumulating lately; then we figured out which one we'll start on and how. We settled on doing it properly: gather requirements, define the system design, and only then start the actual implementation.“
Nik Pushkarski / Apr 2026
David Y. Stephenson
GPT-4 tutor
“I'm very satisfied with the work session; Adrian helped me in resolving my concern quickly and provided a clear explanation as to what I was missing. I will certainly employ his mentoring in the future.“
Hobby Williams / Apr 2026
Adrian Segui
GPT-4 tutor
“Excellent Assist, ...Adrian once more was able to help me resolve the problem I was encountering with my Django / python APP. He is highly knowledgeable, I will certainly continue to employ his mentorship in the future.“
Hobby Williams / Apr 2026
Adrian Segui
GPT-4 tutor
“Erick has consistently been knowledgeable, supportive, and patient throughout our sessions. He has helped me develop a stronger understanding of the concepts behind building a webpage using Python, JavaScript, and HTML. His ability to clearly explain each topic has made the learning process much more approachable and effective. I appreciate his guidance and would highly recommend him as a mentor.“
C / Apr 2026
Erick Alpizar Rivera
GPT-4 tutor
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Find the most suitable GPT-4 tutor by chatting with GPT-4 experts.
Arrange regular session times with GPT-4 tutors for one-on-one instruction.
Frequently asked questions
How to learn GPT-4?
Learning GPT-4effectively 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 GPT-4. 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 GPT-4, 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 GPT-4 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 GPT-4 through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your GPT-4 skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using GPT-4 in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since GPT-4 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 GPT-4?
The time it takes to learn GPT-4 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 GPT-4typically 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 GPT-4’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in GPT-4 generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of GPT-4, contributing to major projects, and possibly specializing in specific areas within GPT-4.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in GPT-4. Engaging with new developments, tools, and methodologies in GPT-4 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 GPT-4 tutor on Codementor?
The cost of finding a GPT-4tutor 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 GPT-4 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 GPT-4 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 GPT-4 with a dedicated tutor?
Learning GPT-4 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 GPT-4, 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 GPT-4 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 GPT-4 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 GPT-4 in a structured, supportive, and effective environment.
How does personalized GPT-4 mentoring differ from traditional classroom learning?
Personalized GPT-4 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 GPT-4.
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