Ho Chi Minh, Vietnam

Khánh
Huỳnh.

AI Developer & Consultant

Building agentic systems, AI-assisted workflows, and intelligent products that create real business value from idea to production.

2

Years exp.

AI Developer

FPT Software

2 Companies

FPT · TMA Solutions

© 2026

About me

Huỳnh Hoàng Khánh

Huỳnh Hoàng Khánh

AI Developer & Consultant · FPT Software

Building agentic systems, AI-assisted workflows, and intelligent products that create real business value, from idea to production. I thrive where technical depth meets strategic thinking.

Professional Summary

AI Consulting & AdoptionAdvise engineering teams on integrating AI into real-world workflows, covering opportunity identification, adoption roadmap definition, and implementation guidance. Comfortable working across technical and non-technical stakeholders to translate business problems into actionable AI strategies.

Agentic Systems & AutomationDesign and build multi-agent systems, agentic pipelines, and AI-powered digital workers using Claude SDK, Copilot SDK, and LangChain/LangGraph. Strong focus on context engineering, tool orchestration, and production-grade reliability.

Cross-Domain AI ApplicationApplied AI across software delivery, medical imaging (dental 3D segmentation), and safety systems, with the ability to understand domain requirements and adapt solutions beyond traditional software contexts.

Engineering FoundationSolid background in cloud platforms (AWS, GCP), containerization, CI/CD, microservices architecture, and edge AI deployment, supporting end-to-end ownership from solution design to production rollout.

Career Direction

I aim to become an AI Solution Architect who bridges emerging technologies and business needs. Rather than building AI for its own sake, I focus on identifying high-value use cases and guiding adoption. With cross-domain experience, I align technical feasibility, regulation, and business goals through systems thinking and clear communication.

Experience

Oct 2025 – Present

Ho Chi Minh, Vietnam

AI Developer

FPT Software

  • Consult with multiple engineering teams to assess AI adoption readiness, identify automation opportunities, and define practical integration strategies aligned with each team's SDLC.
  • Architect and deliver agentic AI systems (Claude SDK, LangChain/LangGraph, GCP) covering multi-step automation, knowledge retrieval, and orchestrated tool use across production workloads.
  • Lead GitHub Copilot integration initiatives by designing custom skills, knowledge bases, and context engineering layers to improve developer throughput.
  • Drive AI migration projects that transition legacy manual workflows to AI-assisted pipelines, reducing toil and improving delivery consistency across project streams.
  • Build AI digital workers to automate repetitive development and business processes, enabling teams to focus on higher-value engineering work.

July 2024 – Oct 2024

Ho Chi Minh, Vietnam

AI Engineer

TMA Solutions

  • Designed and integrated LLM-powered chatbot, assistant, and recommendation systems into client-facing products.
  • Optimized and deployed AI models across cloud and edge environments, balancing accuracy, latency, and resource constraints.
  • Maintained and extended a microservices-based AI platform, contributing to backend stability and feature delivery.
  • Worked directly with Australian clients to gather requirements, clarify technical constraints, and provide ongoing support across time zones.

Education

Aug 2021 – Nov 2024

Ho Chi Minh, Vietnam

Bachelor's degree in Computer Science

VNUHCM – University of Information and Technology

GPA: 3.44 / 4.00

Projects

January 2026 – Present

FPT project

Agentic Workers & AI Modernization Platform

Multi-agent platform for AI-assisted software delivery at FPT

PythonJavaReactDockerAzureGitHub Copilot SDKClaude SDKMCPOAuth
  • Consulted directly with multiple project teams across migration, version upgrade, and KTLO streams, assessing technical constraints and translating them into concrete AI adoption roadmaps tailored to each team's SDLC.
  • Designed a microservice platform for agent skill management, tool registry, and pipeline orchestration, serving as the runtime host for AI digital workers deployed across project streams.
  • Built project-specific agentic workflows and prompt pipelines to automate code migration, version upgrades, and cross-repository analysis using Copilot SDK, Claude SDK, and MCP integrations.
  • Delivered the full application stack (Python backend, React frontend, Docker, OAuth) with agentic-assisted coding while retaining full ownership of architecture decisions and engineering standards.

December 2025 – Present

Side project · 5-person team

GitHub ↗

DentalML: 3D CBCT Tooth Segmentation

Serverless GPU inference pipeline for dental 3D segmentation

PythonPyTorchnnU-NetDockerRunPodGitHub ActionsDVCSimpleITK
  • Architected serverless GPU inference infrastructure on RunPod using CUDA-based Docker images, with automated CI/CD via GitHub Actions and Dockerhub for building resource-heavy containers.
  • Implemented a TIPs (Tooth Instance & Pulp Segmentation) pipeline integrating nnU-Net with UMamba across multiple model configurations, with coordinate system standardization using SimpleITK and NumPy.
  • Resolved deep dependency conflicts between PyTorch and TensorFlow stacks by isolating vendor models as subprocess-callable libraries, enabling clean integration without runtime interference.

January 2025 – October 2025

TMA Commercial product

Threat Detection App

Behavior & speech analysis on mobile devices

PythonAWS (EC2, ECS)YOLOGoogle MediapipeTensorFlowJenkins
  • Analyzed business requirements to select AI models for voice emotion, facial expression, text classification, and object detection tasks.
  • Built and optimized on-device models for Android/iOS under strict resource constraints (TFLite GPU, Core ML); deployed cloud inference services on AWS EC2/ECS for heavier workloads.
  • Worked closely with clients to collect feedback and iterate on model quality to meet evolving business requirements.

July 2024 – Dec 2024

TMA Commercial product

RFP Assistant

AI-powered proposal generation & sales chatbot

PythonGCPMongoDBFAISSLangChainDocker
  • Built a Gemini-powered agent for automated RFP generation and a RAG pipeline to retrieve answers from unstructured documents (PDF, Excel, Word).
  • Designed a hybrid data layer with FAISS and MongoDB to handle both semantic and structured queries; containerized and deployed the stack on GCP.

Dec 2024 – October 2025

TMA Commercial product

Safety System – Edge-Device Communication

AI communication system for critical situations

PythonAWSOpenAI APIAdobe SDK
  • Owned a six-service AI microservices stack in production (STT, TTS, document processing, LLM decision engine), maintaining uptime and handling incident response with DevOps and client teams.

Skills

AI ToolingGitHub Copilot, Claude, Codex
LanguagesPython, React, TypeScript
PlatformsAWS, GCP, Azure
FrameworksLangChain, LangGraph, Anthropic SDK, Tornado, Ollama, Hugging Face, TensorFlow, PyTorch
DatabasesMySQL, MongoDB, Vector databases (FAISS, Chroma), R2
OSWindows, Linux / Ubuntu
DevOps & VCSGit, Docker, Bitbucket, Jenkins, DVC, GitHub Actions
TrackingJira, Confluence, ServiceNow

Certifications

TOEIC Speaking & Writing

Valid until August 2026

310 / 400

TOEIC Listening & Reading

Valid until August 2026

785 / 990

Additional Information

LanguagesVietnamese (native) · English (professional working proficiency)
InterestsFootball, psychology
FPT Internal HackathonWon 2 out of 3 FPT Internal Hackathon competitions entered, consistently placing among top teams across cross-functional challenges.

Thank you for visiting

Ho Chi Minh, Vietnam · 2026