AI Engineer at Microtechx, Remote, Germany
Badar Rasheed Butt
Cloud AI Engineer building scalable, intelligent, and research-driven AI systems.
I design and deploy AI solutions across cloud infrastructure, SaaS platforms, and production-ready machine learning workflows, with a strong research interest in AI for healthcare, multimodal learning, and trustworthy intelligent systems.
Cloud AI and applied ML
Azure, MLOps, backend APIs, and research-to-production AI systems.
About
Research-minded engineering for deployable AI.
A professional foundation across cloud AI, machine learning systems, and applied research.
I'm a research-oriented Computer Scientist and Cloud AI Engineer focused on building scalable AI systems that connect machine learning research with real-world deployment. My work spans Azure-based AI solutions, DevOps/CI/CD workflows, SaaS platforms, backend APIs, and applied machine learning systems. I am especially interested in AI for healthcare, explainable AI, multimodal learning, computer vision, and NLP.
Download CVAI Engineer
Cloud & Azure
Healthcare AI Interest
Research-Oriented
Production AI Systems
Skills
Technical depth across cloud, data, AI, and backend systems.
Grouped capabilities aligned with Cloud AI engineering, MLOps, and research-oriented machine learning.
Cloud & DevOps
AI & Machine Learning
Data Science
Backend & APIs
Research Areas
Services
Engineering support for AI products and research systems.
Focused services that connect applied machine learning with reliable cloud deployment.
Cloud AI Solutions
Designing and supporting AI applications deployed on scalable cloud infrastructure.
MLOps & Deployment
Building production-ready machine learning pipelines, APIs, and CI/CD workflows.
AI Backend Development
Developing FastAPI/Django-based backends for AI models and data-driven applications.
AI for Healthcare Systems
Exploring intelligent systems for healthcare applications, including multimodal and explainable AI.
Data Science & ML Prototyping
Building data preprocessing, feature engineering, model training, and evaluation workflows.
Qualification
My professional journey
Education, industry experience, and research work organized around AI systems and healthcare-focused machine learning.
BS Computer Science
Gift University, Pakistan
Completed: 2025
- CGPA: 3.96/4.00
MS Data Science
Information Technology University (ITU), Pakistan
Expected completion: September 2028
- Status: Ongoing
Research Interests
AI for Healthcare, Explainable AI, Multimodal Learning
Current focus
- Computer Vision
- NLP
- Cloud AI Systems
Projects
Selected AI, cloud, and research-oriented work.
A focused portfolio of healthcare AI research, backend systems, cloud workflows, and data science pipelines.
Multimodal PTSD Detection System
A healthcare-focused multimodal AI system integrating video, audio, and text signals for PTSD detection and clinical support research.
Backend for Multimodal AI System
A scalable backend API designed to serve multimodal machine learning models in production-oriented environments.
Portfolio case summary
Cloud AI Deployment Workflows
Cloud-focused AI deployment workflows supporting scalable, reliable, and maintainable AI applications.
Portfolio case summary
Data Science & ML Pipelines
End-to-end data preprocessing, feature engineering, training, and evaluation workflows for applied machine learning systems.
Portfolio case summary
Focus Areas
Research and engineering focus.
A concise view of the themes Badar is actively building toward for PhD research visibility and Cloud AI roles.
Cloud-Native AI Systems
AI for Healthcare
Explainable & Trustworthy AI
Multimodal Learning
MLOps & AI Deployment
Research-to-Production AI
Contact
Let us discuss AI systems, research, or cloud engineering.
Reach out for Cloud AI engineering roles, research collaboration, PhD conversations, or applied AI projects.