AI Engineering | LLM Applications | RAG | MLOps | Azure | Terraform | Kubernetes | Platform Reliability
Engineering the platform layer behind intelligent applications — from retrieval and model services to secure cloud infrastructure and automated delivery.
Cox's Bazar, Bangladesh · Open to opportunities across Germany and Europe
| YEARS IN IT & INFRASTRUCTURE | REPORTED CLOUD UPTIME | REPORTED AUTOMATION EFFICIENCY GAIN | REPORTED ALERT-NOISE REDUCTION |
Metrics are based on my professional experience summary. Results and measurement periods should be discussed in their project context.
I am a Cloud AI Platform Engineer combining 7+ years of IT infrastructure, cloud engineering, automation and DevOps experience with applied AI engineering. My focus is the platform layer that makes intelligent applications dependable: API services, retrieval systems, data stores, identity boundaries, deployment automation, observability and operational controls.
My engineering approach connects the AI application lifecycle with the platform lifecycle:
Python → Machine Learning → APIs → LLMs → RAG → Vector Databases → AI Agents → Evaluation → MLOps / LLMOps
I combine this AI focus with cloud and DevOps practices to address deployment, scalability, security, monitoring and operational reliability. My additional interests include computer vision, ROS 2, autonomous systems and intelligent transportation.
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The three projects below are prioritised because together they demonstrate AI application architecture, cloud automation and delivery of a documented application platform.
AI application architecture · Retrieval engineering · Tenant-aware design
A RAG platform reference implementation covering dense and sparse retrieval, Reciprocal Rank Fusion, cross-encoder reranking, contextual compression and citation verification.
- Stack: Python, FastAPI, PostgreSQL/pgvector, BM25, Redis/Celery, Docker and Terraform.
Cloud platform engineering · Infrastructure as Code · Federated identity
A modular Azure foundation using Terraform modules and GitHub Actions workflows with OIDC-based authentication.
- Stack: Azure, Terraform, GitHub Actions, OIDC, Azure Key Vault and remote state.
Application platform · Identity and access control · Delivery
A documented institutional portal with member self-service, role-based administration, QR-based credential verification and a live deployment.
- Stack: Python, FastAPI, relational database, web frontend, RBAC, TOTP MFA and HMAC-SHA256 verification.
- Azure Scalable Web Platform — Azure application reference architecture.
- Azure Hybrid Migration — Hybrid connectivity, VM infrastructure and recovery architecture.
- Azure Zero-Trust Security — Terraform security foundation.
- LLMs: Foundations to RAG — LLM and RAG learning repository.
- Autonomous Lane Detection — OpenCV lane-perception work.
- Bluetooth-Controlled Robotic Arm — Arduino and servo-control project.
| Project | Engineering scope |
|---|---|
| Autonomous Lane Detection | OpenCV lane-perception pipeline with an optional CARLA simulation integration |
| Bluetooth-Controlled Robotic Arm | Arduino, HC-05 Bluetooth communication and multi-servo control |
MoviSabio — AI-based Urban Mobility & Territorial Intelligence
As CTO and Co-founder, I work on the technical direction of MoviSabio, an initiative focused on applying AI and geospatial technologies to urban mobility and intelligent transportation.
Company website · GitHub profile
AI / MACHINE LEARNING
CLOUD / PLATFORM / DEVOPS
DATA / APPLICATION ENGINEERING
Technology icons represent areas in my technical toolkit; they do not imply equal depth or production use in every tool.
| Organisation | Role | Period |
|---|---|---|
| Energy Crown Bangladesh | Infrastructure & Cloud Systems Engineer | Jul 2023 – Present |
| Energy Crown Bangladesh | Information Technology Support Engineer | Jan 2019 – Jun 2023 |
| MoviSabio | Chief Technology Officer & Co-founder | Jan 2026 – Present |
| ReDI School of Digital Integration | AI & ML Instructor | Mar 2026 – Present |
| Cox's Bazar International University | Adjunct Lecturer | Sep 2026 – Oct 2026 |
Selected infrastructure outcomes reported in my experience summary
- Operated Azure hybrid cloud environments with 99.9% uptime.
- Managed LAN/WAN networks and enterprise server infrastructure.
- Automated provisioning with Terraform and Ansible, reporting a 45% efficiency gain.
- Built CI/CD pipelines and AI-assisted operational automation.
- Reduced alert noise by 30% using AI-based log analysis.
- Supported security and 24/7 operations with a reported MTTR below 30 minutes.
Education
- Bachelor's degree in Computer Engineering — Cox's Bazar International University (2017–2021)
Certifications and professional learning listed in my profile
- Python 3 Programming Specialization
- EF SET English Certificate — 72/100 (C2 Proficient)
- Learning PowerShell
- Developing Front-End Apps with React
Recognition
- Turkish Diyanet Foundation Scholarship
- Best PowerPoint Slide & Presentation Award
- Implementation of Online Shopping and Auction System (SPAROO)
- Implementation of IoT Based Notice Board
I am interested in opportunities and collaborations at the intersection of AI Engineering, Cloud Architecture, DevOps and intelligent systems, particularly across Germany and Europe.
- Portfolio: alimulfazalnabil.github.io
- LinkedIn: linkedin.com/in/alimul-fazal-nabil
- Email: alimul.nabil@gmail.com
- Company: movisabio.com