I am a Senior Artificial Intelligence Engineer with over 9 years of experience building and deploying scalable AI solutions. I specialize in LLM-based pipelines, Retrieval-Augmented Generation (RAG), agentic workflows, and cloud infrastructure to help teams automate complex processes and unlock real-time insights. I excel at turning business goals into practical AI platforms, with hands-on experience across AWS and GCP, containerization with Kubernetes and Docker, and end-to-end MLOps. As a proactive consultant, I translate technical challenges into measurable value by delivering secure, observable AI solutions that improve efficiency and enable smarter decision-making.

Alain Bui

I am a Senior Artificial Intelligence Engineer with over 9 years of experience building and deploying scalable AI solutions. I specialize in LLM-based pipelines, Retrieval-Augmented Generation (RAG), agentic workflows, and cloud infrastructure to help teams automate complex processes and unlock real-time insights. I excel at turning business goals into practical AI platforms, with hands-on experience across AWS and GCP, containerization with Kubernetes and Docker, and end-to-end MLOps. As a proactive consultant, I translate technical challenges into measurable value by delivering secure, observable AI solutions that improve efficiency and enable smarter decision-making.

Available to hire

I am a Senior Artificial Intelligence Engineer with over 9 years of experience building and deploying scalable AI solutions. I specialize in LLM-based pipelines, Retrieval-Augmented Generation (RAG), agentic workflows, and cloud infrastructure to help teams automate complex processes and unlock real-time insights.

I excel at turning business goals into practical AI platforms, with hands-on experience across AWS and GCP, containerization with Kubernetes and Docker, and end-to-end MLOps. As a proactive consultant, I translate technical challenges into measurable value by delivering secure, observable AI solutions that improve efficiency and enable smarter decision-making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Full Stack Engineer at Nisolo
August 1, 2025 - August 1, 2025
Led system design, database architecture, and development for an e-commerce platform integrated with Shopify, delivering the MVP within one year using React, Angular, Next.js, GraphQL, FastAPI, and Python, accelerating time-to-market by 25%. Implemented Redis caching and MongoDB optimizations with SSR for SEO, improving response times by 36%, reducing load by 45%, and scaling performance by 30%. Established OAuth2 with Auth0 and RBAC, reducing unauthorized access incidents by 40%. Orchestrated deployments on Digital Ocean with Docker and GitHub Actions CI/CD, achieving 28% faster deployments and 55% higher release frequency. Leveraged Cloudflare CDN and load balancing to reduce page load times by 23% and increase server scalability by 31%. Integrated multiple payment gateways (Klarna, Amazon Payments) via Adapter Pattern, raising transaction success rates by 18%. Developed a recommendation engine using LLM, RAG, BERT embeddings, and TensorFlow to personalize experiences and increase co
Full Stack Engineer at 90 Seconds
April 1, 2022 - April 1, 2022
Architected microservices and event-driven architecture for a cloud-based video production platform using Node.js, C#, Nest.js, GraphQL, and PostgreSQL; boosted creator collaboration by 25% and cut production timelines by 18%. Built an AI-driven RAG chatbot with LangChain, GPT-3.5, Transformer models, Pinecone, and Runway ML to automate metadata generation, tagging, and personalized recommendations, improving content accuracy by 18%. Managed multi-cloud infra on AWS and GCP (S3, Lambda, Cloud Run) with LED walls simulation, improving response speeds by 45% and reducing latency by 30%. Enforced TDD/BDD with Mocha and Chai, achieving 99.9% uptime. Mentored juniors and implemented observability with ELK and Datadog, reducing incident resolution time by 40%.
Full Stack Engineer at Freshcells
July 1, 2019 - July 1, 2019
Spearheaded TravelSandbox platform development with Vue.js, TypeScript, Spring Boot, and MySQL integrated with Amadeus API and Peakwork Player-Hub, enabling flexible travel package creation and increasing booking conversions by 20%. Crafted a scalable frontend/backend component library using Storybook, Tailwind CSS, and Spring microservices, adopted by DER Touristik Suisse and HLX Touristik, improving UI/UX consistency and reducing development cycles by 30%. Implemented real-time data processing with Kafka and headless CMS via freshMS, optimizing content management for multi-brand portals with a 35% efficiency gain. Enhanced platform scalability with AWS ECS and Kubernetes, plus New Relic for monitoring, achieving 99.9% uptime and 40% lower latency.
Frontend Engineer at Techspace Co., Ltd.
April 1, 2017 - April 1, 2017
Developed cloud-native applications for a PropTech platform using Django, Python, HTML5, CSS, and Google Cloud Platform, improving property listing efficiency by 15% for a Scandinavian client. Contributed to the Digital Superheroes Academy mobile app for Baan Dek Foundation with React Native and Firebase, enabling multi-language support and increasing user engagement by 20%. Built a customer care dashboard for a telecom SMS service provider with AngularJS, Node.js, and CircleCI, streamlining ID registration and reducing processing time by 25%. Supported cloud migration for a retail client with AWS Lambda, API Gateway, and DynamoDB, cutting infrastructure costs by 30%. Collaborated on a shared UI component library with Vue.js and LESS, adopted across internal projects, improving frontend speed by 22%.
Machine Learning Engineer at DataArt
May 1, 2023 - February 1, 2026
Contributed to the consulting practice by identifying high-impact AI opportunities, shaping proposals, and delivering business-driven outcomes. Designed and delivered cloud-native AI platforms on AWS with reference architectures for security, networking, observability, and cost governance. Orchestrated end-to-end MLOps pipelines on AWS EKS using MLflow and Kubeflow to automate training, validation, model registry/versioning, deployment, and monitoring, improving release cadence and reducing overhead. Developed LLM-powered RAG solutions with production-grade retrieval quality, implementing chunking strategies, hybrid search (keyword + vector), reranking, caching, and evaluation harnesses to measure accuracy, latency, and hallucination risk. Implemented multi-agent workflows with LangGraph and LangChain for real-time analytics and automation. Migrated a legacy monolithic web-scraping pipeline to a microservices architecture using AWS SNS/SQS, Lambda, ECS, and Fargate, improving reliabili
AI Software Development Consultant at DevGrid
September 1, 2019 - April 1, 2023
Delivered AI-enabled and cloud-native systems end-to-end as a consultant, owning architecture, implementation, performance tuning, and production readiness across multiple engagements. Developed a vector-search recommendation system on AWS using Elasticsearch, improving relevance through feature engineering, ranking experiments, and feedback loops that increased engagement and sales impact. Built and operationalized fraud-related infrastructure, incorporating NLP classifiers for message intent detection (e.g., cancellation / chargeback signals) and integrating outputs into downstream risk workflows. Led development of a high-scale product synchronization platform supporting both real-time and batch sync between local and global catalogs, improving reliability for cross-border commerce use cases. Implemented an event-driven architecture with Pub/Sub + gRPC, delivering subsecond sync latency, idempotent processing, and consistent reconciliation across thousands of stores. Introduced resi
Backend Developer at ICF of Oklahoma
June 1, 2016 - July 1, 2019
Delivered scalable backend services for web/mobile products, contributing across design, implementation, testing, and production support in a client-facing environment. Contributed migration from a monolithic application to a microservices architecture on AWS, decomposing core domains into independently deployable services and defining service boundaries, data ownership, and backward-compatible API contracts (REST/gRPC). Implemented the target platform and operating model, using Docker + Kubernetes (EKS), API Gateway/ALB, Kafka/SQS for async messaging, PostgreSQL (DB-per-service where appropriate), Terraform for IaC, and CloudWatch + OpenTelemetry for end-to-end observability—improving release independence, fault isolation, and horizontal scalability. Designed backend architectures emphasizing secure data handling, robust authorization patterns, and reliable service-to-service integration for client systems. Built and maintained RESTful and GraphQL APIs, improving developer experienc

Education

Bachelor's Degree of Computer Science at Thammasat University
January 1, 2010 - January 1, 2014
Bachelor's Degree at Thammasat University
January 1, 2012 - January 1, 2016

Qualifications

Bachelor's Degree in Computer Science
January 1, 2012 - January 1, 2016

Industry Experience

Retail, Software & Internet, Media & Entertainment, Travel & Hospitality, Professional Services