I'm
Aspiring Cloud Engineer transitioning from engineering technology with hands-on AWS experience gained
through professional automation
projects, academic deployments, and personal cloud builds. Built and deployed a production Generative AI
assistant using Python, LangChain,
and AWS services (Lambda, API Gateway, S3) that serves real users daily. Proficient in Python scripting,
Linux administration, and Infrastructure-as-
Code with Terraform. Academic and project experience spans Lambda, API Gateway, S3, EC2, RDS, IAM, Route 53,
CloudWatch, and
EventBridge. Currently pursuing Master's in Computer Science (4.00 CGPA) focused on cloud computing and
distributed systems. Proven ability
to learn quickly, document thoroughly, and actively leverage AI-assisted tools to accelerate problem-solving
and delivery. Seeking to apply
technical foundation and automation experience 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.
Aspiring Cloud Engineer transitioning from engineering technology with hands-on AWS experience through automation projects, academic deployments, and personal cloud builds. Built and deployed a production Generative AI assistant using Python, LangChain, and AWS services (Lambda, API Gateway, S3). Strong in Terraform, Linux administration, and troubleshooting.
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
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 AWS Cloud concepts, services, security, architecture, pricing, and support.
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********