Rafidul Rafid

Engineer

Overview

AI/MLOps Engineer with 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. Bridging AI engineering and cloud platform roles.

AI/MLOps Engineer · Azure · Cloud Infrastructure · Secure AI Deployment

Specializing in Machine Learning, NLP, Computer Vision, and Scalable Software Development.

  • Birthday: 16 November 1998
  • Address: Germany
  • Company Email: rafidul.rafid@baywa-re.com
  • Phone: +49 1575 3255 867
  • Degree: B.Sc. Artificial Intelligence
  • Email: rafid.4507@gmail.com
  • Available: From January 2027

Core focus: Azure Cloud (AKS, App Services, Key Vault, Entra ID) · AWS · DevOps & CI/CD · LLM Agents & RAG · MLOps · Infrastructure as Code · Secure AI Deployment

Years of experience

Projects

Current role

Available from

Skills

Cloud-native AI engineering — deploying secure, scalable LLM solutions on Azure, AWS with DevOps best practices

Programming

Python (expert) · C++ · SQL · Java · Bash / PowerShell scripting 90%

Microsoft Azure

App Services · AKS · ACR · Key Vault · Entra ID / AAD · Azure AI Foundry · Azure AI Search · Azure Pipelines · Azure Storage · VNet / Networking 100%

DevOps & IaC

Docker · Kubernetes · CI/CD Pipelines · GitHub Actions · Git · REST APIs · AWS (ECS, EKS, IAM) 95%

Enterprise Identity & Security

Microsoft Entra ID · Intune · RBAC · Azure Key Vault · AWS IAM · Managed Identities · Secure API Endpoints · PII Redaction · HIPAA-Compliant Pipelines 85%

LLM Systems & Agentic AI

LLM Fine-tuning (LoRA / PEFT) · RAG · Vector DBs (FAISS, ChromaDB) · LangChain · LangGraph · MCP · n8n · OpenAI API · Hugging Face · Prompt Engineering 85%

ML / Deep Learning

PyTorch · TensorFlow / Keras · Scikit-Learn · CNNs · Transformers · Hugging Face Diffusers 80%

NLP & Computer Vision

BERT · Sentence Transformers · spaCy · NER · OpenCV · EasyOCR · Tesseract · Object Detection 95%

Languages

Working proficiency in German and English

German (B1, actively improving) 45%
English (fluent) 95%

Resume

AI/MLOps Engineer with strong foundation in cloud infrastructure, secure AI deployment, and production ML systems.

Summary

Rafidul Rafid

AI/MLOps Engineer with 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. Currently IT Administrator at BayWa r.e. (Munich), formerly Junior AI/ML Engineer at Nubedian GmbH (Karlsruhe).

  • AI/ML Engineer
  • Deployed scalable AI infrastructure on Azure serving hospital production systems
  • Expected graduation date: January 2027

Education

B.Sc. Computer Science & Artificial Intelligence

October 2022 – January 2027 (Expected)

Technische Hochschule Ingolstadt, Germany

  • Machine Learning, Deep Learning, NLP, Computer Vision, Cloud Computing, Software Engineering
  • Grade: 2.6

B.Sc. Statistics

January 2019 – March 2021

Shahjalal University of Science and Technology, Bangladesh

  • Linear Algebra, Probability Theory, Real Analysis, R Programming, Data Visualization
  • Grade: 1.7 / 1.0

Bachelor Thesis (Grade 1.3)

Nubedian GmbH, Karlsruhe, Germany

"A Hybrid Multi-Layer Framework for Secure Medical Document Parser"

Developed a multi-layer engineering framework using LangChain and LangGraph to automate context-aware routing and data extraction from unstructured medical files. Engineered a secure text-processing pipeline using OpenCV and Tesseract. Containerized the application with Docker and established automated deployment pipelines to scale the microservices.

Volunteer Work

Research Coordinator — AI/ML Research Opportunities

March 2023 – December 2023

Open Researcher's Space | Technische Hochschule Ingolstadt, Germany

  • Reviewed AI/ML research papers with faculty across multiple universities; organized interdisciplinary AI workshops and seminars.

Professional Experience

IT Administrator

April 2026 – Present

BayWa r.e., Munich, Germany

Device & Access Management

  • Administer enterprise identity lifecycle and access controls (RBAC) via Microsoft Entra ID, ensuring secure authentication and least-privilege compliance across corporate environments.
  • Provision, configure, and maintain hardware endpoints (Windows, macOS, iOS) via Microsoft Intune, enforcing compliance policies and automated security baselines.
  • Deliver diagnostics, device provisioning, and system maintenance across enterprise workstations, minimizing downtime for on-site and remote teams.
  • Standardize technical incident resolution paths and draft automated PowerShell routines/documentation to streamline repetitive support handovers and operational workflows.

Junior AI/ML Engineer

October 2024 – February 2026

Nubedian GmbH, Karlsruhe, Germany

Healthcare AI & Azure Cloud Deployment

  • Architected and deployed production RAG pipelines (LangChain, FAISS) achieving 99% accuracy on hospital patient queries; fine-tuned open-source LLMs and built multi-agent orchestration workflows utilizing Model Context Protocol (MCP) and self-hosted n8n.
  • Governed end-to-end cloud security and compliance lifecycles on Azure; implemented cost tracking and compute provisioning alerts to optimize cloud expenditure across production AI workloads.
  • Containerized (Docker) and deployed production AI microservices on Azure App Services and REST APIs integrated into hospital management workflows, managing secrets with Azure Key Vault and access via Managed Identities.
  • Engineered an end-to-end OCR and document digitization microservice (EasyOCR, Tesseract, OpenCV, LLM post-processing) achieving 98% accuracy, embedding automated PII redaction to enforce zero-trust clinical data privacy.
  • Automated continuous deployment workflows for LangChain-based services, implementing health checks, compute scaling, and resource monitoring to ensure high availability across environments.
  • Monitored Azure resource consumption and pipeline health; implemented usage alerts and optimised compute provisioning to maintain cost efficiency across AI workloads.

Software Engineer

February 2024 – October 2024

Schanzer Racing Electric e.V., Ingolstadt, Germany

Embedded Systems

  • Developed backend services using Django and Node.js to ingest, process, and stream real-time vehicle sensor data to the pit crew dashboard.
  • Optimised aerodynamic models in MATLAB/Simulink to enhance vehicle dynamics.
  • Managed version control via Git/Bitbucket within a cross-functional team to maintain high-velocity software releases.

Projects

Production AI systems and cloud-native tools — from Azure-hosted LLM agents and RAG chatbots to OCR pipelines and financial models.

  • All
  • AI / ML
  • Cloud / DevOps
  • Certification

Azure-Hosted LLM Agent Platform

October 2024 – February 2026

App Services + AKS for inference, Key Vault for secrets, Entra ID for identity, n8n for workflow orchestration, LangChain for multi-agent AI routing across hospital systems.

MRI Diffusion Distortion Correction CNN (PyTorch)

June 2024

Technische Hochschule Ingolstadt (Supervisor: Prof. Dr. Marion Menzel) · CNN · PyTorch · Medical Imaging · Built a CNN model for geometric distortion correction in MRI diffusion images, including custom data preprocessing and augmentation pipelines.

Bitcoin Price Prediction — Transformer + Sentiment Fusion

June 2024

Transformer time-series model combining Wikipedia sentiment with Binance OHLCV data, complete with a full strategy back-testing framework.

AZ-900: Microsoft Azure Fundamentals

Microsoft · 2026

Machine Learning Specialization

Stanford Online / Coursera · In Progress

SQL & Big Data Technology

2024

GPS Tracking for Ingolstadt

Hackathon, April 2023

Testimonials

What colleagues and professors say about my work

A dedicated and talented developer with strong problem-solving skills. He brought innovative solutions to our projects.

Dr. Marion Menzel

Professor, Technische Hochschule Ingolstadt

Showed exceptional ability in web development and AI integration. Highly reliable and a great team player.

Bruno Rosales

CEO & Founder, Nubedian GmbH

Creative thinker with deep knowledge of statistics and AI. A strong candidate for any software engineering role.

Niklas Hinrichs

Team Leader, Nubedian GmbH

Hardworking and dedicated individual with a passion for technology.

Torsten Schön

Professor for Computer Vision for Intelligent Mobility Systems at Technische Hochschule Ingolstadt

Contact

Feel free to reach me via email or phone.

Address

Germany

Call Me

+49 1575 3255 867

Email Me

rafid.4507@gmail.com

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