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I am an expert Data Engineer having 10 years of experience with exposure on in-house, hybrid & AWS, GCP cloud services. I hold **Data Architect Nanodegree from Udacity**. My Primary skills include -
- Languages - Python, PHP, Ruby, Javascript, HTML, CSS
- Packages - PySpark, Pandas, Numpy, Flask, Jquery, Bokeh
- Tools - Spark, Hadoop, Hive, Mysql, Postgres, Airflow
- File Formats - json, csv, txt, Parquet
- GCP - Cloud functions, DataProc, Bigquery, GCS
- AWS - Lambda functions, API Gateway, Athena, Cloudwatch, Glue, DataBrew, Kinesis, S3, Redshift, Redshift Spectrum, SNS, SQS
I mostly worked on developing, maintaining, optimising ETL/Data pipelines, used variety of tools & process during pipeline execution. Apart from building pipelines i holds good hands on building custom scripts or solutions.
I am a quick learner & having positive mindset which helps me to tackle a complex problem in easy way. During my experience i optimised numerous pipelines where improved time by ~70% & saved cost with magnitude of 10th part.
If you are looking for any help in learning, solving complex data problem, you are at right place. I am happy to help here.
Thanks.
BSc and MSc in Computer Science. I am a software developer with +10 years of experience mainly with Java, C# .Net, and Web Development (js libs, CSS, HTML). And also a strong experience with Desktop development.
Seasoned Web Developer and Blockchain enthusiast with a proven track record in the IT and services industry. Expertise in Research, PHP, HTML, JavaScript, and Blockchain development, including Smart Contracts. Skilled in automation, application testing, and cybersecurity analysis for web and mobile apps.
I turn builders into agentic engineers who ship faster, smarter, and with confidence—one-on-one.
WHAT I TEACH
• Agentic engineering fundamentals: design, orchestration, and evaluation of AI agents
• AI-assisted development: coding workflows that 2–5x velocity without sacrificing quality
• Generative AI: local and cloud image/video generation, diffusion models, and end-to-end pipelines
• Complex automated workflows: retrieval, tools, function-calling, evaluators, and monitoring
• Prompt engineering that scales: patterns, guards, and reproducibility
• Efficiency playbook: from Cursor/Copilot prompts to claude code, opencode, amp, repoprompt, CI, telemetry, and test harnesses.
WHY ME
• 13+ years building production apps across startups and Uber-scale systems
• 2 years hands-on in generative AI, local and cloud-hosted LLMs and image generation, prompt engineering, and automations
• I focus exclusively on 1:1 teaching—no cohorts, no fluff, just outcomes
HOW 1:1 WORKS
• Personalized roadmap tailored to your product, stack, and constraints
• Live build-and-architect sessions focused on your real projects
• Fast async support for quick questions and advice between sessions
• Project planning, code reviews, and architecture critiques
• Developer experience upgrades: templates, dev tools, CI, prompts, and guardrails
• Curated resources and practical exercises to lock in skills
OUTCOMES YOU’LL GET
• Ship agentic features in days, not months
• Choose the right approaches for your use case and budget
• Stand up local and cloud image/video generation with reproducible results
• Automate complex multi-step workflows with evaluation and monitoring
• Write prompts and system designs that survive real users
WHO THIS IS FOR
• Engineers and founders who want hands-on guidance, not theory
• Teams ready to integrate AI into production with confidence
READY TO LEVEL UP?
You need someone that knows the ins and outs of Software, AI, and UX. I'm an experienced AI Engineer, Software and Web Expert, and User Experience Researcher that has worked for JPMorgan Chase, the United Nations, American Express, AT&T, and Lockheed Martin as well as for several startups and small businesses.
Is your AI-powered MVP built on a fragile 'vibe-coded' foundation? Are you struggling to scale a prototype that was built with lightning speed but is now plagued by bugs, security holes, and technical debt?
I transform brittle AI prototypes into robust, **production-ready applications**. As a senior AI engineer specializing in the **Node.js** and **React** ecosystem, I bridge the gap between rapid, AI-assisted development and the disciplined engineering required for scalable, secure software.
But robust software is only half the battle. The other half is making it *work for your business*. I design and implement **intelligent automation workflows** that connect your apps, eliminate manual tasks, and free up your team to focus on high-impact work.
Whether you need to rescue a failing project, automate a core business process, or build a scalable MVP from the ground up, I provide the expert oversight to ensure your AI initiatives deliver real, measurable value.
**My Core Services:**
* **🤖 AI Code Rescue & Remediation:** I conduct deep **AI code audits** to debug, refactor, and secure fragile codebases (especially those built with LangChain.js). I turn unmaintainable prototypes into stable, scalable assets ready for real users.
* **⚙️ Intelligent Workflow Automation & Integration:** I design and build digital assembly lines for your business. I offer a full spectrum of automation solutions:
* **Rapid Integration:** Using **Zapier, Make.com & n8n** to connect your existing tools and solve immediate process bottlenecks.
* **Custom API Development:** Building custom **Node.js** APIs and webhooks to connect proprietary systems or handle complex logic that no-code tools can't.
* **AI-Powered Decisions:** Infusing your workflows with intelligence using the **OpenAI API** to triage support tickets, qualify sales leads, or generate content automatically.
* **🚀 Custom AI Solution Development:** I architect and build bespoke AI solutions from scratch, from **Custom GPTs** and intelligent **AI Agents** to complex RAG (Retrieval-Augmented Generation) pipelines that leverage your private data.
* **👨🏫 AI Engineer & Career Mentorship:** I provide 1-on-1 coaching to help developers navigate the AI landscape, master tools like LangChain.js, and build a successful career in AI engineering and automation.
**My Tech Stack:**
* **Languages:** Node.js, TypeScript, JavaScript
* **Frameworks:** React, Next.js, Express.js, NestJS
* **AI / LLM:** LangChain.js, OpenAI API, LlamaIndex, Vector Databases (Pinecone, Qdrant)
* **Automation Platforms:** Zapier, Make.com, n8n
Ready to move past the prototype phase and build a real business? **Send me a message with your project details or book a session to get started.**
---
### Service Packages
* **Package 1: AI Code Audit & Production-Ready Roadmap**
* **Description:** Have an AI-generated MVP that feels unstable? I'll perform a comprehensive review of your codebase. You'll receive a detailed report identifying security vulnerabilities, performance bottlenecks, and a concrete, actionable roadmap to make your application **production-ready**. This is the perfect first step to de-risk your project.
* **Package 2: Intelligent Automation Workflow**
* **Description:** Let's put a core business process on autopilot. We'll map out a high-impact workflow and I'll build a robust automation to solve it. Ideal for **automating lead qualification**, **triaging customer support tickets**, or **streamlining content pipelines** using the best tool for the job—Zapier, Make, or custom Node.js scripts.
* **Package 3: Scalable AI MVP Development**
* **Description:** Need to build an MVP the *right* way? I'll architect and develop a **scalable MVP** from day one, using professional, spec-driven development practices. We'll build a strong foundation with clean, documented code and a modern stack (Node.js, React) to avoid the technical debt that plagues "vibe-coded" projects.
See the power of our UI Engineering tutors through glowing user reviews that showcase their successful UI Engineering learning journeys. Don't miss out on top-notch UI Engineering training.
“This tutor showed outstanding commitment when taking his time to explain what I could be misunderstanding, when working through a problem. As well as taking time to ask if I had any questions before moving forward in a problem. Highly recommended.“
Melanie Jordan / Nov 2025
Kazi Sohan
UI Engineering tutor
“We focused on diagnosing and resolving persistent access issues affecting the ProsperPro join site, which was intermittently returning access errors to visitors. The objective was to identify the root cause, validate the technical setup, and establish clear next steps to ensure stable site availability.
The session was productive and collaborative, resulting in a clear diagnosis and corrective action plan. The issue was determined to be configuration-related rather than a platform or code defect. With propagation completing, the site is expected to stabilize without further intervention.“
Larry Combs / Dec 2025
Olajide Olanrewaju
UI Engineering tutor
“Great C++ tutor! He explains concepts clearly, focuses on problem-solving, and adjusts the pace based on my level. The sessions were well-structured, and the practice questions really helped me understand the topics better. Highly recommended.“
Qanoo Taweel / Dec 2025
Dejan B.
UI Engineering tutor
“Once again! Again and again and again! Samir delivers! I had a bug I couldn't figure it out how to solve. Turns out the AI deleted the index.html and the main.tsx file. Samir solved it! Thank you Sensei!“
Hakan / Dec 2025
Samir Habib Zahmani
UI Engineering tutor
How to find UI Engineering tutors on Codementor
Step 1 Post a UI Engineering tutoring request
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Step 2 Chat with UI Engineering tutors
Find the most suitable UI Engineering tutor by chatting with UI Engineering experts.
Step 3 Book UI Engineering tutoring sessions
Arrange regular session times with UI Engineering tutors for one-on-one instruction.
We'll help connect you with a UI Engineering tutor that suits your needs.
Find the most suitable UI Engineering tutor by chatting with UI Engineering experts.
Arrange regular session times with UI Engineering tutors for one-on-one instruction.
Frequently asked questions
How to learn UI Engineering?
Learning UI Engineering 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 UI Engineering. 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 UI Engineering, 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 UI Engineering 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 UI Engineering through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your UI Engineering skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using UI Engineering in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since UI Engineering 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 UI Engineering?
The time it takes to learn UI Engineering 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 UI Engineering 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 UI Engineering’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in UI Engineering generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of UI Engineering, contributing to major projects, and possibly specializing in specific areas within UI Engineering.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in UI Engineering. Engaging with new developments, tools, and methodologies in UI Engineering 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 UI Engineering tutor on Codementor?
The cost of finding a UI Engineering 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 UI Engineering 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 UI Engineering 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 UI Engineering with a dedicated tutor?
Learning UI Engineering 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 UI Engineering, 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 UI Engineering 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 UI Engineering 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 UI Engineering in a structured, supportive, and effective environment.
How does personalized UI Engineering mentoring differ from traditional classroom learning?
Personalized UI Engineering 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 UI Engineering.