Hi, I'm Nouh đź‘‹
Software Engineer, I love building on AI and Web3. Cloud and DevSecOps enthusiast.
NR
About
Multidisciplinary Software Engineer with 5+ years of experience spanning DevSecOps, cloud-native development, blockchain integration, and AI-driven applications. Proven track record in designing and deploying secure, scalable systems for big institutions and innovative startups, with a strong foundation in backend development (NestJS, Spring Boot, Rust), infrastructure automation (Docker, Vault, GitLab CI/CD), and cloud platforms (AWS, GCP, Vercel).
Work Experience
Skills
NestJS
React
Next.js
React Native
Typescript
Node.js
Python
Go
Postgres
MySQL
MongoDB
AuroraDB
Docker
Kubernetes
Hashicorp
Vault
GitLab CI/CD
Keycloak
OAuth2
OIDC
JWT
Java Card
Java
Rust
Solidity
Anchor
Python
TensorFlow
Terraform
AWS
GCP
Vercel
ActivePivot
ActiveUI
BigQuery
Redshift
Azure Synapse
NLP
My Projects
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Vision Boards
Designed, developed and sold animated UI components for developers. I also built a vision board, to help people achieving their goals. The platform is build on Flux AI Model for the image generation and OPENAI API for the text generation and moderation.
Next.js
Typescript
Flask
OAuth2
Flux AI Model
OPENAI API
PostgreSQL
Prisma
TailwindCSS
NowPayments
Shadcn UI
Magic UI
Certifications
I like learning new things
I like to learn new things and share my knowledge with others. Here are some of the certifications I have earned.
AWS Cloud Essentials - AWS
Coursera ( 2025 )
Completed a foundational course covering the core concepts of AWS cloud infrastructure, including compute, storage, databases, and networking. Gained hands-on experience in building scalable, highly available, and cost-effective applications using AWS services. Topics included IAM, the shared responsibility model, and monitoring best practices. The course provided the technical fundamentals required to make informed architectural decisions and laid the groundwork for cloud roles such as developer, architect, or DevOps engineer.
Blockchain Specialization - Michigan University
Coursera ( 2023 )
Through this specialization, I have developed an understanding of foundational concepts that enable a blockchain protocol. The courses covered applying the concepts of encryption, hashing, consensus, transactions, blocks and private-public keys in building a blockchain. I designed, developed and tested smart contracts and decentralized applications on a private Ethereum blockchain. The discussions included the architecture of a decentralized application stack, best practices, emerging standards, and many open issues such as scalability and privacy. I concluded with a holistic view of the landscape, including decentralized application use cases and other blockchain platforms.
Applied Plotting, Charting & Data Representation in Python - Michigan University
Coursera - ENSIIE ( 2022 )
This course helped me improve my knowledge in term of visualization basics, with a focus on reporting and charting using the matplotlib library. The course started with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. After that, we focused on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. Then I got the chance to see a variety of basic statistical charts helping me to identify when a particular method is good for a particular problem. The course ended with a discussion of other forms of structuring and visualizing data. (2nd course in the specialization : Applied Data Science with Python Specialization)
Introduction to Data Science in Python - Michigan University
Coursera - ENSIIE ( 2022 )
This course introduced to me data manipulation and cleaning techniques using the popular python pandas data science library, and the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, I was able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. (1st course in the specialization : Applied Data Science with Python Specialization)
Machine Learning - (Andrew NG course) Stanford University
Coursera - EMI ( 2021 )
In this class, I learned about the most effective machine learning techniques, and gained practice implementing them and getting them to work for myself. More importantly, I learned about not only the theoretical underpinnings of learning, but also gained the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, I learned about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
IoT Cloud Developer - IBM Mastery Award
IBM - EMI ( 2020 - 2022 )
This certification helped me improve my expertise to identify, design, and build IoT solutions, using IBM Watson IoT. The badge earner has demonstrated advanced proficiency in topics such as IoT architecture, IoT Cloud, Node-RED, IoT network protocols, monitoring devices, report statistics, REST APIs, and analytic services. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.