Md Rafidul Islam
Engineer
Overview
AI/ML Engineer with 2+ years of hands-on experience building and deploying production AI systems on Microsoft Azure — including LLM-powered RAG chatbots, agentic AI workflows, and multimodal OCR microservices. Experienced in end-to-end Azure deployment, CI/CD pipelines, containerisation (Docker/Kubernetes), and secure access management. Proven track record: 99% accuracy on a live RAG chatbot and 98% OCR accuracy on HIPAA-compliant medical document pipelines. Actively advancing cloud architecture and DevOps knowledge to bridge AI engineering and cloud platform roles. Graduating June 2026.
Cloud AI Engineer · AI/ML · Azure · DevOps
Specializing in Machine Learning, NLP, Computer Vision, and Scalable Software Development.
- Birthday: 16 November 1998
- Address: Mercy str
- City: Ingolstadt, Germany
- Phone: +49 157 53255867
- Age: 27
- Degree: Bachelor
- Email: rafid.4507@gmail.com
- Available: From July 2026 — Blue Card eligible (German university graduate)
Core focus: Azure Cloud (AKS, App Services, Key Vault, Entra ID) · DevOps & CI/CD · LLM Agents & RAG · MLOps · Infrastructure as Code · Secure AI Deployment
Years of experiences
Projects
Current projects
Availability
Skills
Cloud-native AI engineering — deploying secure, scalable LLM solutions on Azure, AWS with DevOps best practices
Technical Skills
AI Tools
Language
As a Bangladeshi, I am fluent in Bengali and English, with a working knowledge of German.
Resume
AI/ML Engineer with strong foundation in DevOps, statistics and management including experience solving real-world problems.
Summary
Md Rafidul Islam
Cloud AI Engineer with 2+ years of production experience building and deploying AI platforms on Microsoft Azure. Built end-to-end architectures: LLM agents, RAG chatbots (99% accuracy), HIPAA-compliant OCR pipelines (98% accuracy), and secure CI/CD deployments on AKS and App Services.
- Junior AI/ML Engineer at Nubedian GmbH (October 2024 – February 2026)
- Deployed scalable AI infrastructure on Azure serving hospital production systems
- German university graduate (June 2026) — Blue Card eligible, available immediately
Education
Bachelor in Computer Science & Artificial Intelligence
October 2022 – Present
Technische Hochschule Ingolstadt, Germany
- Software development: Django, PHP, Java (OOP)
- Artificial Intelligence: ML algorithms, NLP, Data Science
- Computer Vision and Image Processing: OpenCV
- Big Data concepts and tools
Bachelor Thesis (Grade 1.3)
October 2025 – February 2026
Nubedian GmbH, Karlsruhe, Germany
"A Hybrid Multi-Layer Framework for Secure Medical Document Parser"
Hybrid OCR + LLM pipeline deployed as an Azure microservice with automatic PII redaction and 98% accuracy.
Bachelor in Statistics
January 2019 – March 2021
Shahjalal University of Science and Technology, Bangladesh
- Real Analysis, Advanced Calculus, Linear & Higher Algebra
- Probability Theory & Statistical Inference
- R Programming & Data Visualization
- Applied Statistics and Econometrics
Professional Experience
Junior AI/ML Engineer — Cloud & AI Platform
October 2024 – February 2026
Nubedian GmbH, Karlsruhe, Germany
- Designed and deployed scalable Azure cloud solutions (AKS, App Services, VNet) for AI workloads serving hospital production systems with 99.9% uptime
- Built full Azure-based AI platform: AI Search for retrieval, LangChain for agentic LLM orchestration, n8n for workflow automation
- Architected multi-agent workflows using MCP with tool-calling capabilities; deployed production RAG system achieving 99% accuracy
- Implemented CI/CD pipelines, Docker/Kubernetes deployments, Key Vault secrets, Managed Identities, and RBAC — HIPAA compliant
- Engineered multimodal OCR pipeline (EasyOCR + Tesseract + LLM post-processing) with 98% accuracy and automatic PII redaction
Software Developer (Formula Racing Team)
March 2023 - August 2024
Formula Student Racing Team, Ingolstadt, Germany
- Developed efficient and maintainable applications using modern frameworks like Matlab Simulink
- Contributed to backend development, database integration, and API design while collaborating with engineers to enhance software infrastructure.
Coordinator at weekly Open Research session
October 2022 – February 2023
Technische Hochschule Ingolstadt, Germany
- Organized AI workshops and seminars, fostering collaboration with professors, research assistants, and students through open discussions.
- Supported academic and research projects in Artificial Intelligence, contributing to knowledge sharing and innovation.
Projects
Production AI systems and cloud-native tools — from Azure-hosted LLM agents and RAG chatbots to OCR pipelines and financial models.
- All
- AI
- Cloud/DevOps
- Certification
Testimonials
What colleagues and professors say about my work
Contact
Feel free to reach me via email or phone.
Address
Mercy str, 85051 Ingolstadt
Call Me
+49 1575 3255 867
Email Me
rafid.4507@gmail.com