Ownership-minded
Takes early-stage backend, data, and cloud scope beyond boilerplate and follows it through delivery.
Engineering focus
Backend Engineer building production cloud and AI systems.
Backend engineer building Python/FastAPI backends, Terraform-managed AWS delivery, and reliability-focused applied-AI systems with graph retrieval and structured validation. Brings a traceability-first approach to API/data design, infrastructure automation, performance testing, and constrained LLM workflows.
About me
I’m a backend engineer based in Bangi, Selangor, with Python, FastAPI, and PostgreSQL as my foundation. I extend that base into Terraform-managed AWS delivery and reliability-focused applied-AI systems.
At AMIC, I own the backend, database, and AWS delivery scope for SAFAPAC and contribute to AIRIS through AI workload testing, bottleneck analysis, and optimization recommendations for senior review. Outside work, I’m actively developing AnotherEdenAI around typed graph retrieval, deterministic candidate generation, structured validation, and bounded LLM refinement.
I hold three cloud and AI credentials and am focused on Backend Software Engineer, Cloud & DevOps Engineer, and Applied AI Engineer opportunities in Kuala Lumpur and Selangor from November 2026.
Traceability-first
Strengthens data models, calculation traceability, validation, testing, and operational documentation.
Collaborative
Works across domain research, frontend delivery, senior engineering, and stakeholder training.
Measured work
SAFAPAC
33,047 governed defaults
12 processes · 22 feedstocks · 217 countries
SAFAPAC
50 ms p95
33-point sensitivity workflow · 10 staging acceptance cycles
AIRIS
96.1% less local RAG context
6-scenario/10-turn controlled experiment · 541k to 20.9k local-context tokens · 10/10 citation checks passed
AnotherEdenAI
367/367 legal-kit coverage
canonical character forms/styles · accepted portfolio evidence snapshot
Featured work
Primary professional case studyAWS-hosted internal pilot
Aerospace Malaysia Innovation Centre in collaboration with Airbus · November 2025 – October 2026
SAFAPAC
Backend and AWS delivery for an internal Sustainable Aviation Fuel techno-economic-analysis pilot, with governed defaults, executable calculation contracts, and lean release controls.
- Python, FastAPI, PostgreSQL, and SQL
- Governed defaults and calculation contracts
- Terraform, Docker, GitHub Actions, OIDC, and SSM
Major applied-AI case studyApplied-AI engineering experiments
Aerospace Malaysia Innovation Centre · November 2025 – October 2026
AIRIS
Applied-AI engineering experiments measuring retrieval and LLM behavior, reducing unnecessary context, and tracing concurrency bottlenecks.
- Controlled RAG context experiment
- Concurrency and bottleneck diagnosis
- Engineering recommendations and attribution
Primary personal case studyActively developed
Personal project · January 2026 – Present
AnotherEdenAI
An actively developed GraphRAG team recommender that keeps roster legality and candidate construction deterministic before bounded LLM refinement.
- Typed graph retrieval and legal candidates
- Constrained LLM refinement
- Validation and explicit fallback
Supporting cloud-deployment case studySupporting case study
AIRBUS EDUCATIONAL EXHIBITION IN THAILAND · 15–25 August 2026
SAF Sky Quest
Rapid AWS hosting and event-infrastructure delivery for a Sustainable Aviation Fuel education quiz.
- Rapid AWS Lightsail deployment
- Domain, HTTPS, and event operations
- Data export and infrastructure closeout
Work experience
Backend Software Developer (Contract)
Aerospace Malaysia Innovation Centre
Nov 2025 – Oct 2026
- Built and evolved SAFAPAC's Python/FastAPI and PostgreSQL backend and AWS delivery, moving an incomplete local prototype toward an AWS-hosted internal pilot supporting 6 TEA researchers and 5 Airbus staff.
- Governed 33,047 defaults across 12 processes, 22 feedstocks and 217 countries with draft, publish and rollback workflows; refactored a 33-point sensitivity workflow to prepared inputs and targeted NPV projections at 50 ms p95 across 10 staging acceptance cycles.
- For AIRIS, designed a 6-scenario/10-turn controlled experiment on RAG workloads that achieved 96.1% less local RAG context, from 541k to 20.9k local-context tokens, with 10/10 citation checks passed; then load-tested vector-search and outbound-LLM bottlenecks for senior review.
- Automated Terraform-managed AWS delivery with Docker, GitHub Actions, OIDC and SSM; also hosted SAF Sky Quest on Lightsail with Caddy HTTPS, with 29 registration records captured, runtime-data export and infrastructure decommissioning.
Web & Mobile Development Intern
PETRONAS Digital Sdn Bhd
Jan 2024 – Aug 2024
- Worked on Angular floor/desk views and paired on Ionic booking, QR check-in, Android deployment and development documentation within the five-person team.
Skills & expertise
Backend
Cloud & DevOps
Applied AI
Supporting Technologies
Credentials
Certifications
Mar 2026
AWS Certified Machine Learning Engineer – Associate
Machine learning engineering on AWS.
Credential ID7e465217-d4bb-4080-a529-259747407fa3Sep 2025
AWS Certified Cloud Practitioner
Foundational AWS cloud knowledge.
Credential IDb8964358-719b-4a4d-81c2-a0e1e6602550Jun 2025
Microsoft Certified: Azure AI Fundamentals
Foundational AI concepts and Azure services.
Credential ID255781426dc44f9cEducation
May 2022 – Aug 2025
Bachelor of Computer Science (Hons)
Universiti Teknologi PETRONAS
CGPA: 3.51