I'm
BIM Engineer transitioning into a Cloud Engineer role, with hands-on experience in AWS,
cloud automation, and infrastructure deployment through professional, academic, and personal projects.
Built and deployed a production Generative AI assistant using Python, LangChain, AWS Lambda, API Gateway,
and S3, serving real users in a professional environment. Skilled in Python scripting, Linux administration,
Infrastructure as Code using Terraform, with practical exposure to EC2, RDS, IAM, Route 53, CloudWatch,
and EventBridge. Master of Computer Science with a 4.00 CGPA, focusing on cloud computing
and distributed systems. Brings proven engineering experience, structured problem-solving,
clear technical documentation, and a strong commitment to continuous learning.
Seeking to apply this multidisciplinary background in a Junior Cloud Engineer role.
I enjoy automating workflows, documenting solutions clearly, and learning by building real projects.
I am an enthusiastic, self-motivated, reliable, responsible and hard working person. Keen to gain knowledge.
“Writing the first 90 percent of a computer program takes 90 percent of the time. The remaining ten percent also takes 90 percent of the time, and the final touches also take 90 percent of the time.” – N.J. Rubenking.
Real projects and real deployments: cloud automation, GenAI systems, and BIM-to-reporting pipelines.
AWS Services (Hands-on)
Cloud Projects Documented
Production GenAI App Deployed
Weeks/Year Learning & Building
Cloud, automation, and BIM delivery — with strong documentation and troubleshooting.
Cloud, DevOps, AI, and academic research projects I built — spanning AWS deployments, Terraform infrastructure, event-driven automation, forecasting models, blockchain, and AI-powered document retrieval.
Developed and compared RNN, LSTM, hybrid RNN-LSTM, GAN, MLP, RBF, ARIMA, and ARIMA-RBF models for automated warehouse-demand forecasting, with time-aware validation and a blockchain-inspired, hash-chained experiment ledger for reproducible research results.
Built a production-ready AI assistant for construction document retrieval using a RAG pipeline, semantic search, and containerized deployment workflows.
Built a serverless monitoring workflow to capture EC2 state changes using EventBridge, trigger Lambda, and log everything into CloudWatch.
Provisioned a static website on AWS using Terraform, including globally unique naming and outputting a live endpoint.
Built AWS networking from scratch (VPC/Subnet/IGW/Routes/SG) and deployed an NGINX EC2 server using Terraform.
Terraform fundamentals: provider setup, S3 resource provisioning, outputs, formatting and validation workflow.
Diagnosed and resolved AccessDenied issues using correct S3 public access settings and bucket policies.
Built and structured a portfolio website showcasing cloud, AI, BIM and DevOps work.
Experience in BIM delivery, cloud automation, and deploying real systems using AWS + Python.
BIM Engineer transitioning into cloud engineering, bringing over four years of experience in digital engineering, technical coordination, workflow automation, and structured problem-solving. Hands-on experience building cloud and AI solutions using AWS, Python, Terraform, Docker, Flask, and LangChain, including a Generative AI assistant for construction document retrieval. Master of Computer Science with a 4.00 CGPA, focusing on cloud computing and distributed systems. AWS Certified AI Practitioner with practical project experience across EC2, S3, Lambda, API Gateway, IAM, CloudWatch, EventBridge, and Infrastructure as Code. Seeking a Junior Cloud Engineer role where engineering-domain expertise and cloud automation skills can contribute to reliable, scalable solutions.
Universiti Teknologi Malaysia (UTM), Malaysia
CGPA: 4.00
Focus: Cloud Computing, Machine Learning, Deep Learning, Distributed Systems
Universiti Teknologi Petronas, Malaysia
CGPA: 3.11
Focus: Construction, Building Information Modelling (BIM), Project Management
Singapore
Singapore
Singapore
Malaysia
I provide BIM delivery services and also build cloud automation solutions using AWS and Terraform. My focus is on creating practical, production-ready systems: infrastructure-as-code, deployment pipelines, and AI-powered document assistants for the construction industry.
Deploy applications using AWS services such as EC2, S3, Lambda, API Gateway, IAM, and CloudWatch. Focused on secure, scalable, and documented deployments.
Provision cloud infrastructure using Terraform: VPC, Subnets, Security Groups, EC2, S3, and IAM. Repeatable builds with clean code structure and README documentation.
Build AI assistants for document Q&A using Python + Flask + LangChain + Vector DB (e.g., Pinecone), with secure storage and retrieval workflows for construction use-cases.
Create and update BIM models in Revit for structural and MEP coordination, aligned with project standards and digital delivery requirements.
Identify clashes and model errors using Navisworks/Solibri workflows. Ensure models follow company standards, naming conventions, and quality rulesets.
Perform site LiDAR scanning and process point clouds (e.g., Faro Scene), supporting as-built verification and accurate modelling based on real site conditions.
Verified professional credentials across cloud computing and digital construction.
Explore my complete, up-to-date credential record.
Industry-recognized AWS certification
Amazon Web Services (AWS)
Validates foundational knowledge of artificial intelligence, machine learning, generative AI, and responsible AI solutions on AWS.
Verify credentialProfessional accreditation for the built environment
Certificate no. 4:24_130
Issued 13 Sep 2024 · Renewal 13 Sep 2026
View accredited personnel registerThank you for your interest! Please fill out the form below, and we'll get back to you as soon as possible.
Johor Bahru
Malaysia
ashrafhuzairie@gmail.com
(+60) 1********