Public resume
Hydar Hafiz bin Hydzelan
Software Engineer — Backend, Cloud & Applied AI
01 · Profile
Professional summary
Software engineer with hands-on experience building Python/FastAPI backends, automating Terraform-managed AWS delivery and CI/CD, and developing reliable applied-AI systems with graph retrieval and structured validation. Experienced productionizing early-stage systems for stronger traceability, testability and reliability. AWS Certified Machine Learning Engineer – Associate.
02 · Technical scope
Technical capabilities
- Backend
- Python · FastAPI · REST APIs · PostgreSQL · SQL · Async Python · Pytest
- Cloud & DevOps
- AWS · Terraform · Docker · GitHub Actions · OIDC · AWS Systems Manager (SSM) · EC2 / RDS · S3 / CloudFront · Nginx · CI/CD
- Applied AI
- Neo4j · RAG / GraphRAG · LangGraph · LLM Integration · Retrieval Systems · Structured Validation · AI Evaluation · Token & Cost Controls
- Supporting Technologies
- TypeScript · Angular · Ionic · Locust · Git
03 · Experience
Professional experience
Backend Software Developer (Contract)
Aerospace Malaysia Innovation Centre
Nov 2025 – Oct 2026
- Own the backend, database and AWS delivery for SAFAPAC, a deployed-beta sustainable aviation fuel analysis platform developed by AMIC with Airbus; substantially rebuilt and productionized an inherited early-stage implementation.
- Collaborated with five TEA-SAF researchers and one frontend developer to restructure FastAPI/PostgreSQL schemas and calculation workflows, strengthening formula traceability, validation, testability and documentation for an Airbus internal pilot group.
- Automated Terraform-managed AWS staging and production delivery with Docker, GHCR and GitHub Actions, using OIDC authentication and SSM execution to keep environments reproducible and reduce configuration drift.
- For AIRIS, designed AI workload and concurrency tests, analyzed bottlenecks, and authored optimization recommendations for senior developer/project manager review; also supported stakeholder training.
Web & Mobile Development Intern
PETRONAS Digital Sdn Bhd
Jan 2024 – Aug 2024
- Collaborated in a five-person team on a MEAN/Ionic booking prototype used to introduce new staff and interns to the technology stack.
- Built Angular data views and paired on Ionic booking, QR check-in, validation, Android deployment and development documentation.
04 · Project work
Selected project
AnotherEdenAI
Dec 2025 – Present
Personal project · Active development
- Building an actively developed FastAPI/Neo4j recommendation system with typed graph retrieval, deterministic candidate generation and LangGraph orchestration.
- Designed structured candidate validation, bounded correction, provider-neutral adapters, token/output limits, usage tracking and a backend fallback to constrain LLM refinement.
05 · Credentials
Credentials & education
Certifications
AWS Certified Machine Learning Engineer – Associate
Machine learning engineering on AWS.
Credential ID7e465217-d4bb-4080-a529-259747407fa3AWS Certified Cloud Practitioner
Foundational AWS cloud knowledge.
Credential IDb8964358-719b-4a4d-81c2-a0e1e6602550Microsoft Certified: Azure AI Fundamentals
Foundational AI concepts and Azure services.
Credential ID255781426dc44f9cEducation
Bachelor of Computer Science (Hons)
Universiti Teknologi PETRONAS
CGPA: 3.51