Open to opportunities

Aidan Li

@aidanli

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Senior AI/ML engineer delivering production-ready LLM, computer vision, and MLOps solutions.

United States

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What I'm looking for

I'm seeking senior AI/ML roles where I can build production LLM and CV systems, lead MLOps and governance, and drive measurable product and security impact in collaborative, compliance-focused teams.

I am a Senior AI/ML engineer who builds production-ready large language model, computer vision, and financial ML systems, bridging research and applied engineering to deliver measurable business impact. I have led generative AI, AutoML, and DevSecOps initiatives that improved developer productivity, security resolution, and deployment predictability across enterprise and high-growth startup environments.

My work emphasizes scalable MLOps, model governance, and secure AI deployment—fine-tuning LLMs, designing RAG and embedding pipelines, and deploying models at scale on cloud and Kubernetes platforms. I consistently drive adoption and performance gains via explainable AI, observability, and enterprise compliance practices, enabling faster releases, reduced remediation times, and increased revenue tied to AI-enabled products.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

GitLab

Dec 2022 - Present (2 years 10 months)

Led integration of PyTorch transformer models into CI/CD to deliver Code Suggestions and Chat APIs, increasing developer throughput by 25% and cutting time-to-merge by 30%. Architected RAG and LoRA fine-tuning pipelines and AI governance frameworks that reduced MTTR by 40% and improved security resolution rates by 50%.

PyTorch RAG LoRA Vertex AI Kubeflow MLFlow Kubernetes LoRAs

AI/ML Engineer

Cohere

Jul 2020 - Nov 2022 (2 years 4 months)

Engineered Cohere's inaugural LLM API on TPUs and built multilingual embeddings and RAG pipelines, driving an 800% surge in API consumption and cutting per-request latency by 50% while improving semantic accuracy across 100+ languages by 40%.

PyTorch Hugging Face TorchServe MLFlow Kubeflow Elasticsearch Embeddings RAG

Machine Learning Engineer

Plaid

Jan 2018 - Jun 2020 (2 years 5 months)

Built predictive risk scoring and real-time income verification pipelines using XGBoost/LightGBM and PyTorch, reducing ACH return rates by 30% and improving income-source detection accuracy by 25% while cutting onboarding latency by 40%.

XGBoost LightGBM PyTorch Spark BigQuery Kubeflow Kafka MLFlow PostgreSQL

Machine Learning Engineer

Clarifai

Oct 2015 - Dec 2017 (2 years 2 months)

Led edge-AI and video understanding initiatives, optimizing CNNs for on-device inference to achieve 4× faster deployments and designing multi-model orchestration workflows that tripled automation throughput and improved video tagging precision by 35%.

CNN MobileNet ResNet Airflow Docker Kubeflow OpenCV YOLO

AI Research Intern

DataRobot

Jan 2015 - Sep 2015 (8 months)

Developed AutoML model selection and HPO pipelines using scikit-learn and XGBoost, accelerating prototype delivery 5× and improving time-series forecast accuracy by 20% through advanced feature engineering.