Open to opportunities

Duc Minh Vo

@ducminhvo

Message

Agentic AI Engineer and fullstack builder, leveraging LangGraph multi-agent systems to automate compliance.

Australia

Message

What I'm looking for

I’m looking to build agentic AI systems and fullstack products in a team that values practical deployment, measurable impact, and clean engineering. I want to own end-to-end delivery—from model/tooling orchestration to production workflows.

I’m an Agentic AI Engineer with 7+ years of engineering experience across AI agent systems and fullstack product delivery. I build reliable, production-grade solutions—from RAG and function-calling to multi-agent orchestration—so teams can ship faster with measurable outcomes.

Most recently, at Grant Help, I led development of a multi-agent LangGraph platform that automates 80% of grant-eligibility compliance workflows. I designed a multi-agent architecture with intent routing, interrupt-driven tool-calling, and Supabase checkpoint persistence for resumable state, and I engineered a document pipeline with SHA-256 caching and pgvector classification to cut per-document cost and reduce processing time from minutes to seconds.

I also build end-to-end product features, including a scalable Next.js technical analysis generation tool that reduced processing time from 1.5 hours to under 30 minutes while enabling concurrent processing for 10+ clients. I integrated the Xero API inside a production financial hub to match current claims against last year’s finance-team-approved items.

Alongside industry work, I support learning and research at Monash University as a Teaching Associate for Deep Learning and as a former teaching role for FIT3080 and FIT2002. My background also includes research work on Bayesian networks (including a JavaScript Bayesian structure detection algorithm) and an engineering internship on QFaaS at QuantumAI Cloud, plus fullstack delivery on a web3 e-learning platform with NEAR BOS integration.

Experience

Work history, roles, and key accomplishments

Current

Teaching Associate (Deep Learning)

Current

Monash University

Jul 2026 - Present (0 months)

Delivered tutorials and labs for a Deep Learning unit on a sessional schedule alongside full-time work. Returned to Monash to support teaching for the unit after a prior teaching role.

Deep Learning Teaching Tutorials Lab

Lead Agentic AI Engineer

Grant Help

Nov 2025 - Jul 2026 (8 months)

Led development of a multi-agent LangGraph platform powering a chatbot that automates government grant eligibility validation workflows. Built document parsing and vector classification, a Next.js analysis tool, and integrated the Xero API within a production financial hub.

LangGraph Multi Agent Systems Tool calling Supabase PostgreSQL Pgvector RAG PDF Parsing Next.js API Integration

Teaching Associate

Monash University

Jul 2025 - Feb 2026 (7 months)

Taught FIT3080 Artificial Intelligence and FIT2002 IT Project Management as part of a 12-week curriculum. Covered intelligent agents, Bayesian Networks, reinforcement learning, machine learning, and project management with a student-centered approach.

Artificial Intelligence Bayesian Networks Reinforcement Learning Machine Learning Project Management

Lead Research Assistant

Monash University

Nov 2024 - Feb 2025 (3 months)

Led a research project on helping users understand and use logic reasoning in Bayesian Networks without prior background. Directed a team using Agile/Scrum and designed a Bayesian structure detection algorithm implemented in JavaScript.

Bayesian Networks Logical Reasoning Bayesian Structure Detection Agile Scrum Team Leadership JavaScript

Quantum Software Intern

QuantumAI Cloud

Jun 2024 - Aug 2024 (2 months)

Contributed to the development of QFaaS (Quantum Function as a Service) within the Quantum Cloud team. Built and deployed quantum software using React, FastAPI, Docker, Kubernetes, and MicroK8s in an Agile workflow.

Quantum Computing React fastAPI Docker Kubernetes Container Orchestration Agile Development Technical Documentation

Fullstack Software Engineer

Golden Financial Innovation

Sep 2022 - Mar 2024 (1 year 6 months)

Built and maintained a scalable e-learning platform supporting over 10,000 developers. Integrated NEAR’s Blockchain Operating System (BOS), designed 35+ modular APIs, and improved feature rollout speed and backend scalability.

Next.js Redux Web3 Blockchain NEAR BOS Smart Contracts API Architecture

Education

Degrees, certifications, and relevant coursework

Monash University

Master of Science in Artificial Intelligence, Artificial Intelligence

2024 - 2025

Grade: GPA: 3.6

Activities and societies: Awarded Summer Research Scholarship and Winter Research Scholarship; High Distinction in FIT5047, FIT5201, FIT5215, FIT5226, and FIT5222.

M.S. in Artificial Intelligence, with a GPA of 3.6. Completed multiple research scholarships and earned High Distinction across relevant AI coursework including fundamentals, machine learning, deep learning, multi-agent systems, and planning/automated reasoning.