Luqman Hakim

Full-stack software engineer specialized in integrating Large Language Models into production-ready applications. Experienced in RAG pipelines, containerized microservices, and building AI-driven automation tools that solve real-world workflows.

Luqman Hakim

A builder at the intersection of AI and production engineering.

I'm a full-stack software engineer with a deep focus on bringing Large Language Models from experimental prototypes into live, user-facing systems. My work spans the entire stack — from architecting RAG pipelines that ground LLM responses in real business data, to deploying high-throughput inference endpoints that serve thousands of requests with predictable latency.

Most recently at CTC Global, I built the bridge between legacy PHP monoliths and a modern Python AI service layer, cutting inference latency by 40% with vLLM and building internal RAG chatbots that transformed how support teams access institutional knowledge. At MIMOS Berhad, I engineered an end-to-end proposal analysis tool with Weaviate and MinIO, automating workflows that previously consumed days of manual review.

What I work with.

AI Engineering

LLM RAG vLLM Aphrodite Engine Ollama Dify n8n Text Embeddings Weaviate Flask

Software Development

Laravel Flutter Vue.js Tailwind CSS Embedded Systems IoT Python Node.js Livewire

DevOps & Tools

Docker Git Linux MinIO Postman Rustfs AWS Cognito CI/CD

Where I've worked.

CTC Global Sdn. Bhd.
AI / MLOps Engineer
Petaling Jaya
Nov 2025 — Present
  • Architected a bridge between legacy PHP / CodeIgniter systems and greenfield Python AI microservices, enabling incremental modernisation without disrupting business-critical operations.
  • Deployed vLLM inference endpoints, reducing average inference latency by 40% through careful model selection, batching, and hardware-aware configuration.
  • Built RAG-based chatbots that ingest internal knowledge bases and shorten support ticket resolution cycles noticeably.
  • Transitioned on-premise services into containerised environments with Docker, improving deployment consistency and velocity across staging and production.
  • Developed custom API wrappers in Python and Node.js to integrate with n8n and Dify workflow engines, connecting AI capabilities to daily business processes.
  • Researched emerging LLM trends and translated findings into actionable roadmaps for predictive modelling and automated document processing.
MIMOS Berhad
Software Engineer (Internship)
Bukit Jalil
Feb 2025 — Aug 2025
  • Engineered an end-to-end proposal analysis tool using Vue.js and Flask, powered by a RAG pipeline that retrieves relevant context from a Weaviate vector database and MinIO object store.
  • Automated vendor proposal analysis, intelligent RFQ generation, and conversational Q&A over proposal documents, replacing a predominantly manual review process.
  • Deployed inference endpoints with both vLLM and the Aphrodite engine to benchmark throughput and latency trade-offs across different model architectures.
  • Contributed to an IoT project by implementing an AWS Cognito authentication layer, and built a JWT validation decorator for securing Flask API routes.
Kubenative Sdn. Bhd.
Software Engineer (Freelancer)
Cyberjaya
Jan 2022 — Jun 2022
  • Developed and maintained features on a Laravel + Livewire stack, working closely with the client to iteratively shape the product.
  • Performed debugging, cross-browser testing, and code refinement based on client feedback and QA cycles.
Malakat
Software Engineer (Full-time)
Cyberjaya
May 2021 — Sep 2021
  • Diagnosed and resolved production issues in a POS system, ensuring consistent uptime for daily mall operations.
  • Developed a Flutter-based system that streamlined operational efficiency at Malakat Mall.
  • Contributed to UI/UX design decisions for a new POS interface and participated in structured code reviews.
Delyva
Software Engineer (Internship)
Petaling Jaya
Mar 2020 — Jun 2020
  • Conducted pre-rollout website testing and quality assurance to ensure release readiness.
  • Built automated test suites from API endpoints using Postman, integrating them into the QA pipeline.
  • Documented API testing methodologies and contributed to shared QA documentation practices.

Where I studied.

UTHM
Bachelor in Information Technology
Mar 2022 — Aug 2025
GPA 3.33
Multimedia University
Diploma in Information Technology
Mar 2018 — Aug 2020
GPA 3.09

Beyond the keyboard.

Marvel Run Malaysia

Feb 2020

Managed medal presentation and ceremony logistics during the event, coordinating with volunteers to ensure smooth athlete recognition.

MMU Cyberplay

Nov 2019

Organised a university-wide LAN party, handling vendor negotiations, equipment logistics, and tournament scheduling for participants.

Standard Chartered Marathon Kuala Lumpur

May 2019

Contributed to event setup and dismantle operations, supporting one of Malaysia's largest annual running events.