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Curriculum vitaeRev 2026.09

DaffaAkbar

AI Engineer

I build AI that works with your

business.
Employer
PT. Mitra Pinasthika Mulia
Location
Surabaya, Indonesia · GMT+7
Status
Open to new roles

What I work on

3 steps
01

Run models internally

Model serving & shared AI gateways

02

Connect AI to real work

Enterprise data & document workflows

03

Build the platform around it

Web apps, APIs & deployment

Freelance
2020
Joined MPM
2021
Applied AI
2026

[01] Selected work

18 total

The internal AI platform at MPM

Private systems, described in the open. Problem, outcome and stack for each.

01Agent platform

Agent Builder

  • LangChain
  • LangGraph
  • MCP
  • vLLM
  • LiteLLM
  • Next.js
  • TypeScript
Problem
Every team that wanted a chatbot rebuilt the same plumbing — prompting, tool wiring, auth and deployment — and none of it was reusable.
Outcome
One workspace where a team composes an agent from tools, MCP servers and functions, then publishes or embeds it without writing infrastructure.
Full write-up
02Retrieval service

RAG Knowledge Base

  • RAG
  • ChromaDB
  • Nomic Embed v2 MoE
  • LangChain
  • OCR
  • Python
Problem
Agents needed to answer from company documents, but the documents could not be sent to a hosted embedding API.
Outcome
Documents are embedded locally into ChromaDB collections and served to agents over an API, so grounding never leaves the network.
Full write-up
03Architecture documents

App Consultant

  • LangGraph
  • vLLM
  • LiteLLM
  • Next.js
  • TypeScript
Problem
Engineers and analysts wrote the same required documents in different formats, making architecture reviews harder.
Outcome
A guided conversation produces a PRD and architecture document following the internal templates.
Full write-up
04Decision support

Successor Planning

  • Python
  • AHP
  • TOPSIS
  • LangChain
  • vLLM
Problem
HR succession planning needs rankings that reviewers can reproduce and inspect.
Outcome
Computes rankings with AHP and TOPSIS; the LLM explains scenarios without changing the scores.
Full write-up

[02] About

Engineering, from backend to AI

Five years of backend and platform work, now pointed at applied AI.

I’m an AI engineer at MPM in Surabaya, building internal AI platforms and applications.

Previously, I spent four and a half years modernising backend systems. I’ve also built freelance web applications since 2020.

01

LLM infrastructure

Self-hosted model serving and a central gateway that fronts every internal application.

  • vLLM model serving
  • LiteLLM gateway
  • Ollama
  • Routing, auth & usage tracking
02

Agent development

LLM-backed applications and stateful, multi-step agent workflows over enterprise data.

  • LangChain
  • LangGraph
  • Internal agent builder
  • Data warehouse retrieval
03

Backend & platform

The microservices, containers and pipelines the rest of it runs on.

  • Node.js & .NET
  • Microservices architecture
  • Docker & CI/CD
  • PostgreSQL & SQL Server
Portrait of Daffa Akbar
Based in
Surabaya, Indonesia
Timezone
GMT+7
Focus
Applied AI, web platforms
Working
Remote, async-friendly

[03] Tech stack

30 entries

Tools I work with

Grouped by area. Most current work sits in the first three groups.

Languages

03
  • TypeScript
  • JavaScript
  • Python

Frontend

05
  • React
  • Next.js
  • Vue.js
  • Angular
  • Tailwind CSS

Backend & architecture

04
  • Node.js
  • .NET
  • Laravel
  • Microservices

Data & messaging

05
  • PostgreSQL
  • SQL Server
  • Apache Kafka
  • Prisma
  • Drizzle

Cloud & infrastructure

02
  • Docker
  • Firebase

LLM infrastructure

05
  • vLLMvLLM
  • 🚅LiteLLM
  • LangChainLangChain
  • LangGraphLangGraph
  • Ollama

AI coding tools

06
  • AntigravityClaude Code
  • CodexCodex
  • GithubCopilotGitHub Copilot
  • CursorCursor
  • opencodeOpenCode
  • Google Gemini

[04] Experience

3 roles

Where I have worked

Jan 2026 — Present

Full-timeCurrent

AI Engineer

PT. Mitra Pinasthika Mulia · Surabaya, Indonesia

A logistics company specialising in the distribution of Honda motorcycles.

  • Built and operated the company LLM serving infrastructure with vLLM, deploying and running self-hosted models on internal hardware.
  • Introduced LiteLLM as a central AI gateway, giving internal applications a single interface across self-hosted and third-party models with unified routing, authentication and usage tracking.
  • Developed and integrated LLM-backed applications using LangChain to power an internal agent builder, and LangGraph for stateful, multi-step agentic workflows.
  • Integrated LLM services with the enterprise data warehouse, opening operational data to natural-language querying and retrieval.
  • vLLM
  • LiteLLM
  • LangChain
  • LangGraph
  • Ollama
  • Python

Jul 2021 — Dec 2025

Full-time

Senior IT Application Developer

PT. Mitra Pinasthika Mulia · Surabaya, Indonesia

Backend and platform work across the group internal application estate.

  • Architected and implemented microservices-based backend systems (Node.js / .NET) to modularise legacy monolithic solutions, improving deployment agility.
  • Led cross-functional coordination with system analysts and stakeholders to define system architecture and keep each new module aligned with business goals.
  • Introduced containerisation with Docker for scalable deployments and CI/CD, reducing resource cost and provisioning time.
  • Mentored other developers and advocated for developer-tool adoption (GitHub Copilot, Google Gemini, Ollama) to accelerate code quality and productivity.
  • Node.js
  • .NET
  • Microservices
  • Docker
  • Apache Kafka
  • SQL Server

Mar 2020 — Present

FreelanceCurrent

Web Developer

Freelance · Remote

Independent web development projects.

  • Developed bespoke web applications for clients including educational institutions and retail shops, choosing the framework to suit each project.
  • Next.js
  • React
  • Vue.js
  • Laravel
  • PostgreSQL
  • Firebase

[05] Background

Education and achievements

Education

Bachelor of Applied Computer Science

State Polytechnic of Malang

2017 — 2021 · GPA 3.91 / 4.00 · Malang, Indonesia

Key achievements

  • 01

    Company-wide AI initiative

    Initiated AI adoption at company level, taking LLM infrastructure and applications from proposal through to production use across the business.

  • 02

    Leadership in IT community

    Led an IT community as Head of Research and Development, building skills and knowledge within the group.

Languages

Indonesian
Native
English
Proficient

[07] Contact

Open to new roles

Let’s worktogether.

Building an AI platform or web application? Tell me what you have in mind.