Software Engineer · AI Builder · Tech Enthusiast

Syukri Ramli

Engineering intelligent software that works, is built right and runs fast.

I design and build modern software products, from cloud-native platforms to AI-powered applications using large language models, intelligent agents and automation. My focus is simple: turn complex problems into reliable, fast and human-friendly technology.

Technologies I work with

Python · C# · Java · .NET · LLMs & RAG · AI Agents · Cloud (AWS · Azure · GCP) · Docker & Kubernetes · CI/CD & DevOps

About Me

A software engineer who loves where technology is heading.

I am Syukri Ramli, a software engineer and lifelong technology enthusiast. I enjoy the full journey of building software: understanding the real problem, designing a clean architecture, writing maintainable code and shipping products that people actually use.

Artificial intelligence is reshaping how software is built and what it can do. I apply generative AI, large language models and agent-based automation to create smarter applications and help teams move faster, while keeping quality, security and responsible use at the centre of every solution.

At a glance

Software engineering & system design
AI, LLM & intelligent agent solutions
Cloud-native & scalable architecture
Young Leader Recognition awardee
Speaker, mentor & community contributor
Based in Malaysia · Open to collaboration

What I Do

Expertise across modern software and AI.

From idea to production, I combine solid engineering fundamentals with the latest technology.

AI & LLM Integration

Bringing large language models into real products: chat assistants, retrieval-augmented generation (RAG), document intelligence and smart search.

AI Agents & Automation

Designing tool-using AI agents and automated workflows that connect to business systems and take routine work off people's plates.

Full-Stack Development

Building fast, accessible web and mobile applications with modern frameworks, clean APIs and maintainable codebases.

Cloud & DevOps

Cloud-native architecture, containers, CI/CD pipelines and observability for software that scales and stays reliable.

Data & Analytics

Turning data into decisions with well-modelled databases, pipelines, dashboards and machine-learning-ready datasets.

Secure & Responsible Tech

Security by design, privacy-aware engineering and responsible AI practices so that innovation can be trusted.

Engineering Philosophy

Make it work. Make it right. Make it fast.

Make It Work

Start by solving the real problem. Build a working solution quickly, validate it with users and learn from real feedback.

Make It Right

Refine the design. Clean code, tests, security and good architecture turn a prototype into a product people can depend on.

Make It Fast

Optimise with purpose. Measure first, then improve performance, cost and user experience where it matters most.

Recognition

Awards & achievements.

Milestones that reflect a commitment to growth, leadership and meaningful work.

Awards & Achievements

Recognised for excellence and innovation in delivering technology solutions that create real impact.

Young Leader Recognition

Honoured as a young leader for initiative, leadership and contribution to the technology community.

Invited Speaker

Invited to share insights on software engineering, AI and digital transformation at events and sessions.

Currently Exploring

The technology shaping what comes next.

Technology moves fast, and I enjoy staying at the front of it. These are the areas I am actively learning, experimenting with and applying in my work.

Agentic AI

Multi-step AI agents that plan, use tools and work alongside people.

Multimodal AI

Models that understand text, images, audio and video together.

AI-Assisted Development

Coding assistants that speed up delivery without sacrificing quality.

Edge & On-Device AI

Smaller, efficient models running closer to users for speed and privacy.

Let's Connect

Let's build something intelligent together.

Whether it is a new product, an AI initiative, a speaking invitation or a collaboration, I would love to hear from you.