Hamza Malyana

Design and development of AI-based solutions for business process automation

Integration of n8n automated workflows to optimize internal operations

Deployment and management of cloud infrastructures on Amazon Web Services (AWS)

Development of APIs and backend services for AI model integration

Large-scale data manipulation, processing, and analysis

Collaboration with business teams to identify and implement AI use cases

I am an AI and Data Engineer with a strong focus on building intelligent, data-driven solutions that bridge the gap between research and real-world applications. Over the years, I have gained expertise across the full AI lifecycle — from data engineering and model training to deployment and monitoring — enabling organizations to unlock value from their data.

My core expertise lies in Generative AI, Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and Computer Vision. I have hands-on experience with modern frameworks such as LangChain, Hugging Face, OpenAI, and PyTorch, and I have successfully developed systems that combine large language models with structured and unstructured data to deliver accurate, context-aware insights.

In addition to AI, I bring solid experience in data engineering and MLOps, working with tools like MLflow, DVC, Airflow, and Spark to design scalable data pipelines, manage experiments, and ensure reproducible workflows. My work often involves integrating cloud platforms such as AWS and Azure to deploy production-grade solutions.

Some of the key projects I have worked on include:

Developing a football analysis system using computer vision for tactical insights.

Building an end-to-end platform for detecting and classifying fruit and vegetable diseases using YOLO and VGG16.

Creating RAG-based applications that enable intelligent search and Q&A over large document collections.

Designing video analytics pipelines for real-time object detection and tracking.

I see myself as someone who combines AI research, engineering discipline, and product-oriented thinking. I enjoy solving complex problems, automating workflows, and making AI systems practical, scalable, and impactful.

Always eager to collaborate, learn, and contribute to innovative projects at the intersection of AI, data, and software engineering.

AI & Big Data Engineer | ETL Expert, Intelligent Agent Development, AWS Cloud Solutions & Data/AI Architectures

I am a passionate engineer specialized in AI, Big Data, and data engineering, designing and building robust, scalable solutions that combine ETL pipelines, intelligent agents, and advanced cloud architectures on AWS. My expertise covers the entire data and AI lifecycle — from ingestion and transformation to production deployment — delivering high-performance data-driven systems.

Key Skills:

ETL & Data Pipelines: Designing, developing, and optimizing automated ETL workflows to collect, transform, and integrate large-scale data from diverse sources. Experienced with tools such as Apache Airflow, Spark, and AWS services like Glue, Lambda, and Step Functions.

Intelligent Agent Development: Building AI-powered agents to automate processes, intelligently handle data, and facilitate user interactions via NLP or computer vision. Skilled with modern AI frameworks and orchestration tools.

AWS Cloud Solutions: Expertise in designing, deploying, and managing scalable, secure cloud solutions on AWS (EC2, S3, Lambda, SageMaker, DynamoDB, Redshift, API Gateway). Experienced with CI/CD pipelines for seamless integration and deployment.

Data & AI Architecture: Architecting modular, scalable, and secure data-driven and AI systems that integrate ETL pipelines, data storage, machine learning models, and APIs — accelerating decision-making and automating business workflows.

What I Offer:

Development of robust, automated ETL pipelines ensuring data quality, reliability, and availability.

Custom intelligent agents tailored to automate your business processes and enhance services using AI.

Deployment of secure, scalable, and optimized AWS cloud solutions tailored to your technical and business needs.

End-to-end architecture and integration of data and AI systems ensuring performance, maintainability, and scalability.