Open to opportunities

Carter Liu

@carterliu

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Senior AI engineer specializing in generative and multimodal production systems.

United States

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What I'm looking for

I seek roles building production generative AI and multimodal systems, with strong engineering, data-infrastructure collaboration, and opportunities to scale models and product impact.

I am a Senior AI/ML Engineer who builds production-scale generative AI systems, LLM-powered agents, and multimodal intelligence across video, audio, vision, and text. I turn advanced research—LLMs, diffusion models, multimodal transformers, retrieval systems—into high-impact user-facing products and design the data pipelines and lakehouse architectures that power them.

I've delivered measurable product outcomes at companies including Notion, Descript, Skydio, Flatiron Health, and NVIDIA, driving large-scale deployments, inference optimizations, and robust evaluation/safety platforms. I focus on bridging research, engineering, and data infrastructure to deliver scalable, reliable AI experiences used by millions.

Experience

Work history, roles, and key accomplishments

Current

Generative AI Engineer

Current

Notion

Apr 2023 - Present (2 years 10 months)

Co-developed Notion AI core writing, reasoning, and multimodal features, increasing AI-assisted content creation 3.4× and premium adoption 52% while reducing workflow time ~40% via agent automation.

RAG Vector Search Databricks PyTorch VLLM Dagster Kubernetes

Senior Machine Learning Engineer

Descript

Oct 2020 - Mar 2023 (2 years 5 months)

Built multimodal editing intelligence and real-time media pipelines that reduced creator editing time ~45%, increased short-form video creation 2.1×, and cut processing cost per minute 55%.

Multimodal Transformers Stable Diffusion Whisper Dagster Delta Lake ONNX Runtime TensorRT Kafka

Machine Learning Engineer II

Skydio

Apr 2018 - Sep 2020 (2 years 5 months)

Developed real-time perception and sensor-fusion models for autonomous drones, improving obstacle-avoidance reliability 27% and reducing onboard inference latency 45% on Jetson-class hardware.

Sensor Fusion Sensor Fusion PyTorch CUDA TensorRT Raft Kafka Databricks

Software Engineer

Flatiron Health

Oct 2015 - Mar 2018 (2 years 5 months)

Built clinical NLP and ETL pipelines that improved extraction accuracy 18%, reduced EHR processing time from 9 to 3 hours, and decreased manual abstraction effort 40%.

Spark Databricks Azure Data Factory Delta Lake Kafka SQL Great Expectations

Software Engineering Intern

NVIDIA

Jun 2014 - Aug 2014 (2 months)

Parallelized GPU computer-vision kernels in CUDA/C++, accelerating feature extraction and stereo depth estimation for faster inference.

CUDA C++Computer Vision Kernel Optimization Parallel Computing Performance Profiling

Education

Degrees, certifications, and relevant coursework

Massachusetts Institute of Technology

Master of Science, Electrical Engineering and Computer Science

2013 - 2015

Completed a Master of Science in Electrical Engineering and Computer Science focusing on advanced topics in EECS and machine learning.

Massachusetts Institute of Technology

Bachelor of Science, Electrical Engineering and Computer Science

2009 - 2013

Completed a Bachelor of Science in Electrical Engineering and Computer Science with foundational coursework in systems, algorithms, and signal processing.