INCOMING TRANSMISSION — ASYRUL.SYS ONLINE

Asyrul Ahmad

I build AI agents and full-stack web applications engineered to scale. From solving business problems to shipping MVPs — I build what you need, at a production standard. Software is my craft; AI is my edge.

Years Shipping
0+
AWS Certifications
0x
AI Products Built
0
npm Libraries
0

Credentials

Professional Certifications Rack

Six AWS certifications — two at Professional level.

PROFESSIONAL

Solutions Architect

Amazon Web Services

PROFESSIONAL

DevOps Engineer

Amazon Web Services

ASSOCIATE

Solutions Architect

Amazon Web Services

ASSOCIATE

Developer

Amazon Web Services

FOUNDATIONAL

AI Practitioner

Amazon Web Services

FOUNDATIONAL

Cloud Practitioner

Amazon Web Services

What I build

AI agents, and the applications around them

By day I work in an agentic & automation team at SEEK (JobStreet). By night I build my own AI-powered products — embeddable personas, prompt tooling, storefronts with shopping agents. Both worlds are the same craft: AI-Augmented Software Engineering.

[⟳]

Agentic Loops & Tool Calling

Production agent runtimes: streaming tool-call loops, token budgets, iteration guards, and portable agent cores that plug into any Reso app.

[⌕]

RAG & Vector Stores

Retrieval Augmented Generation in production — insights APIs grounded on AWS OpenSearch vector datastores, built for relevance and cost.

[≋]

Streaming AI Experiences

Chat interfaces I've built time and time again — Lambda response streaming, fetch readers, typing indicators, in-band error protocols. One is live on this page.

[⇄]

MCP Servers & Connectors

Model Context Protocol services that give agents real capabilities — owned integrations, no wrapper vendors, built once and reused everywhere.

[$]

Gen-AI Cost Engineering

Cross-model token cost analysis and strategies — batching, caching, distillation — that have identified up to 50% savings on real workloads.

[◈]

Embeddable AI Personas

Configurable AI characters with conversation starters, knowledge bases, and analytics — embeddable into any site. You're about to meet mine.

Systems assembly

Architecture that solves business problems.

Each piece — event-driven consumers, SNS→SQS fan-outs, EventBridge schedulers, streaming Lambdas — is cherry-picked to solve a real problem. Event-driven where dependencies demand it, synchronous where simplicity wins, and nothing that isn't earning its keep.

  • Event-driven solutions for live and real-time data
  • SNS → SQS fan-out for external integrations
  • EventBridge schedulers driving background automation
  • Lambda response streaming for real-time AI output
  • Infrastructure as code for fully automated cloud resource provisioning

SIGNAL-FLOW // FAN-OUT● LIVE

AI agent engineering

Agents that actually ship

I've built agentic systems end to end and in production: the LLM loop itself, the tools it calls, the MCP servers behind them, and the guardrails around all of it — token budgets, iteration caps, cost controls, observability.

  • Agentic loops with streaming tool calls — plan, act, observe, iterate
  • Multi-agent orchestration — specialised sub-agents behind one interface
  • MCP servers exposing real capabilities: internal APIs, documents, search
  • External grounding — web fetch, S3 knowledge bases, vector retrieval
  • Production hardening: cost analysis, batching, caching, distillation

MULTI-AGENT // MCP● LIVE

The principles

I care how it's built, not just that it works.

Software is my artwork. Fundamentals over trends, consistency over intensity, quality over speed — the principles don't change even when the tools do.

  • Fundamentals over trendsClean Code, TDD, Clean Architecture, the Pragmatic Programmer — the classics outlive the hype.
  • Consistency over intensityA daily improver. Hard work beats talent; showing up beats sprinting.
  • Less is moreThe 80/20 principle, in code and in life.
  • Growth over perfectionGrowth mindset over fixed mindset — always in search of the next skill to sharpen.

Pilot Profile

REG: MY // EST. 2017
Asyrul Ahmad

Architecture & AWS92

AI & Agentic Systems90

Full-stack Engineering94

Craft & Design95

  • 🎸 Music
  • 🎬 Movies
  • 🛰 Starfield
  • 🌌 Mass Effect
  • ☢ Fallout 4
  • 🐺 The Witcher 3
  • 🐉 Elder Scrolls V: Skyrim
  • 📚 Avid reader
  • 🏋 Stays fit
  • 🧵 @asyrulhftzy

Mission log

Nine years across fintech, AI, and platforms

  1. Feb 2025 — Present

    Senior Software Engineer // SEEK (JobStreet)

    Agentic & automation team. Event-driven consumers and publishers for the Co-Pilot hiring initiative, RAG on AWS OpenSearch for SmartHire insights, Gen-AI cost strategy (up to 50% savings identified), Candidate Spotlight v2 module champion.

    • TypeScript
    • AWS Bedrock
    • SNS/SQS
    • RAG
    • PostgreSQL

  2. Jan 2024 — Feb 2025

    Senior Full-stack Developer // Pixlr (Designs.AI)

    Conception-to-production on AI Chat (aggregated multi-LLM chatbot) and AI Audio (TTS, speech-to-speech, voice cloning); POCs on AI logo generation and an enterprise Gen-AI proxy.

    • NestJS
    • OpenAI
    • Bedrock
    • Next.js

  3. Oct — Nov 2023

    Senior Software Engineer I // Carsome

    Payment microservices, CMS, and Kafka consumer apps at one of Southeast Asia's first unicorns.

    • NestJS
    • Kafka
    • Vue/Nuxt

  4. Apr 2022 — Sep 2023

    Tech Consultant // Annata Dynamics

    Reusable React/TS components and PowerApps PCF for automotive ERP; principal front-end developer of the Sales Assistant MVP.

    • React
    • PCF
    • C#/.NET

  5. Sep 2020 — Mar 2022

    Full-stack Engineer // Strands (Fintech, Spain)

    AI-driven Business Financial Management platform for banks — OCBC Malaysia & Singapore, HSBC Hong Kong.

    • React/Redux
    • Android
    • Accessibility

  6. 2017 — 2019

    Software Engineer // Telekom Malaysia + Annata

    Data crawling for Big Data, team lead on a Node/React/ElasticSearch data-management project, GIS systems with ESRI ArcGIS — after starting out fixing Dynamics 365 ERP bugs.

    • Python
    • ElasticSearch
    • C#

Education

Trained in the fundamentals — and in AI

2019 — 2020 · United Kingdom

MSc Advanced Computer Science (Artificial Intelligence)

The University of Manchester

Dissertation: Chatbot to Facilitate Big Data Preparation — an intelligent chatbot combining rule-based text matching, deep learning, the Finite State Machine pattern, and a microservices architecture. Built with Python/Flask, Node/Express, TensorFlow, and Angular.

  • Machine Learning
  • Data Modelling
  • Text Mining
  • NLP
  • Computer Vision

2013 — 2017 · Malaysia

BSc Computer Science (Software Engineering)

Multimedia University

Final Year Project: Using Raspberry Pi 3 to Drive a CNC System in Real Time — two C++11 programs (a G-Code Interpreter and a Driver Interpolation Program) controlling an industry-grade 3-axis CNC machine. Nominated Top-20 Best FYP.

  • Web Development
  • Software Design
  • Algorithms Design
  • Artificial Intelligence

Open a direct link

Talk to my AI

I've built chat interfaces time and time again — so naturally, this page has one. It streams from an AWS Lambda running an agentic loop over the OpenAI SDK, and it speaks as me. Here's the architecture behind the button:

CHAT REQUEST FLOW● LIVE

CONTEXT ORCHESTRATION // MEMORY● BUDGETED

Services

Work with me

I offer these services directly — no agency, no middlemen. Reach out via email or LinkedIn and we'll take it from there.

[⌂]

Web Solutions Consulting

End-to-end web systems, designed and delivered: requirements to architecture to production on AWS. I handle the full picture — APIs and databases, background processing with queues and schedulers, static and CDN delivery, live updates over WebSockets, transactional email, CI/CD, and AI integration where it genuinely earns its keep.

  • Architecture reviews & system design
  • Full-stack application delivery
  • Event-driven and serverless architecture
  • AI & agent integration with real cost controls

STANDARD WEB STACK● PROVEN

Live events return to the browser over WebSocket; a standalone EventBridge schedule triggers a Lambda that drains SQS B and writes to the database.

[⚒]

Programming Apprenticeship

Hands-on mentoring in the fundamentals and the craft — clean code, design, TDD, and how to think like an engineer.

[✦]

Career Consulting

CV and interview preparation, engineering career strategy, and honest guidance from nine years across the industry.

[♥]

Health & Diet Consulting

Practical fitness and nutrition guidance from someone who treats staying fit like staying consistent in code.

Contact

Open a channel

Hiring, consulting, collaboration, or a good conversation about AI-augmented engineering — pick whichever channel suits.