Open to opportunities

Adrien MATEA ADAN

@adrienmateaadan

Message

Senior AI/ML engineer specializing in MLOps, LLM systems, and production-grade ML infrastructure.

Thailand

Message

What I'm looking for

I seek roles building production-grade ML systems and MLOps at scale, with collaborative teams, measurable impact, and opportunities to deploy advanced LLM and CV solutions.

I am a Senior AI/ML Engineer with 8+ years building end-to-end machine learning systems across finance, legal, and tech domains. I design and deploy production-grade infrastructure, high-throughput inference, and robust MLOps pipelines to take models from research into reliable operations.

I have led teams to deliver algorithmic trading platforms, portfolio optimization systems, multi-agent RAG legal platforms, and mobile Visual Document Understanding solutions. My work spans cloud-native architectures (AWS, Terraform, ECS/Fargate), model optimization (TensorRT, Triton), and fine-tuning LLMs (LoRA) for generative and retrieval-augmented applications.

I focus on measurable impact: automated trading and risk systems, production document tagging used by millions, and scalable analytics platforms for internal stakeholders. I bring a pragmatic, results-oriented approach to deploying cutting-edge AI to solve critical business problems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Independent / Consultancy

Jan 2023 - Present (3 years 5 months)

Architected and deployed end-to-end ML solutions including a production-grade algorithmic trading platform, AWS-based portfolio optimization processing S&P Global data, and multi-agent RAG systems for legal document analysis; led a team of 3 engineers and automated daily execution with Terraform and AWS Step Functions.

Python PyTorch Transformers AWS Terraform Docker MLOps RAG TensorRT

Lead Data Scientist

Digiposte

Jan 2018 - Jan 2023 (5 years)

Managed and mentored a team of 3 data scientists and delivered production VDU and mobile inference solutions, including an automated document tagging pipeline using MobileNetV2 (TensorFlow Lite) and KYC data-extraction models that accelerated loan application workflows.

TensorFlow MobileNetV2 Computer Vision VDU R Jenkins Gitlab Data Extraction TensorRT

Data Scientist

AI & Data

Jan 2017 - Jan 2018 (1 year)

Developed customer segmentation and predictive models (clustering, SVM, Random Forest) for B2B/B2C clients to optimize email marketing and identify high-value sales leads, improving targeting strategies.

Python R SQL Clustering SVM Random Forest Customer Segmentation

Marketing Researcher

Reperes Beauty

Jan 2012 - Jan 2016 (4 years)

Managed international pre-launch testing for cosmetic products, conducting concept analysis and delivering data-driven recommendations to clients to inform launch decisions.

Market Research Survey Design Data Analysis Reporting