Iman Suherman — Building solutions. Delivering impact.

Iman Suherman

suherman.net

Build real products with AI agents — from idea to running application.

Iman Suherman

About

A hands-on engineering leader

Iman Suherman

Iman Suherman is a technology leader with 20+ years designing and scaling cloud systems, microservices, and modern web/mobile platforms. He is currently Principal Engineer at Qantas Loyalty (Universal Retail Platform) and DevOps Engineering Lead at Mekari.

After hours is the playground: he spins up real products on suherman.net — macOS and mobile apps, developer tools, local AI gateways — then signs the builds, wires the registries, routes traffic through Cloudflare, and lets AI agents ship from a clear SPEC instead of vibes.

About

This week

Next live build

Saturday 19 September — Bahasa Indonesia. How to train your LLM / agent. Register free, then vote which training angle we deep-dive.

This weekBahasa Indonesia60 minutes

Cara Melatih LLM / Agent Anda: Dari Prompt sampai Persona

Upcoming · Bahasa Indonesia · Train your LLM / agent

  • Sabtu, 19 September 2026
  • 11:00 – 12:00 WIB
  • 12:00 – 13:00 Singapore / Malaysia
  • 14:00 – 15:00 Sydney

Google Meet: https://meet.google.com/ikn-ubdy-jyh

How to train your LLM / agent — prompts & evals, RAG vs fine-tune, local models, and persona behaviour. Vote the deep-dive angle on the poll. Free and open; recording planned.
  1. 01 · 10 min

    What “train” means for LLMs vs agents

    Prompting, evals, RAG, fine-tuning, and persona behaviour — which lever fits which problem.

  2. 02 · 15 min

    Prompts, evals & contracts

    System prompts, acceptance checks, and treating behaviour as a reviewable contract before touching weights.

  3. 03 · 15 min

    RAG vs fine-tune (and when not to)

    Knowledge injection vs behaviour change — cost, data, and failure modes with a practical decision frame.

  4. 04 · 10 min

    Local LLMs & persona agents

    Ollama / MLX for cost and control; teaching an agent to emulate a user persona without leaking secrets.

  5. 05 · 10 min

    Live demo + Q&A

    Short hands-on path shaped by the poll — then open questions.

LLM trainingagentsRAGfine-tuneBahasa Indonesiaupcoming

Register

Join this Saturday — train your LLM / agent

Saturday, 19 September 2026 · 11:00 AM–12:00 PM WIB · 12:00–1:00 PM Singapore/Malaysia · 2:00–3:00 PM Sydney. Bahasa Indonesia. Free and open. Calendar invite by email; Meet confirmed before the session.

This week · Bahasa · Train LLM / agent

Which training angle should we deep-dive?

Saturday 19 September — how to train your LLM / agent. Pick a chip (prompt/eval, RAG vs fine-tune, persona, local models…) or type your own.

You can vote as many times as you like; results update live.

29+ starter ideas in autocomplete — free text welcome.

Live

Current results

0 votes

No votes yet — be the first.

suherman.net — Build real products with AI agents