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Tianchang Liu

@ismaeltc

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Senior Machine Learning Engineer specializing in MLOps and AI infrastructure.

United States

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What I'm looking for

I seek senior-level roles building production-grade AI and MLOps platforms where I can lead end-to-end ML engineering, improve scalability/observability, and deliver measurable business impact in collaborative, engineering-driven teams.

I am a Senior Machine Learning Engineer with 10+ years building large-scale AI, computer vision, and agentic intelligence systems across cloud platforms like AWS, Azure, GCP, and Databricks. I design production-ready, explainable models and MLOps pipelines that deliver measurable automation and performance gains.

My work has included architecting multi-agent LLM pipelines, scalable RAG/GraphRAG systems, high-throughput computer vision for touchless checkout, and decentralized ML infrastructure. I have deployed models to edge devices and cloud serving systems, reduced inference latency, and automated analytics and compliance workflows for enterprise customers.

I lead end-to-end engineering efforts from data engineering and model training to CI/CD, monitoring, and secure production serving — emphasizing reproducibility, observability, and cost-effective scaling. I drive impact by translating complex ML research into reliable, business-ready products.

Experience

Work history, roles, and key accomplishments

Current

Senior AIOps Manager

Current

Tredence

Nov 2025 - Present (2 months)

Engineered enterprise multi-agent LangGraph pipelines and deployed Databricks MLflow PyFunc models integrating Azure OpenAI, Azure Search, and SharePoint to enable rapid semantic contract analysis and automated procurement/legal workflows, reducing contract search time from hours to seconds.

LangGraph Databricks MLFlow Azure OpenAI Azure Search PyTorch Python Semantic Search

Senior Machine Learning Engineer

Waste Management

Jul 2025 - Oct 2025 (3 months)

Designed scalable AI pipelines using Claude 3.5 on Amazon Bedrock for invoice processing and built YOLOv8+ByteTrack video analytics and LangChain agentic systems to automate billing reconciliation, fraud detection, and insurance workflows across multiple sites.

Claude YOLOv8 ByteTrack Lang Chain AWS S3 Snowflake Python

Senior Machine Learning Engineer

Mashgin

Jun 2021 - Jun 2025 (4 years)

Developed and deployed PyTorch computer vision models achieving 99.9% item recognition across 60,000+ SKUs, built MLOps pipelines for weekly model updates across 700+ kiosks, and engineered data pipelines processing 8TB/day on Databricks to enable reliable touchless checkout.

PyTorch Onnx NVIDIA Jetson Databricks Terraform Kafka Redis CI CD Prometheus

Machine Learning Engineer

Voyage

Jan 2017 - May 2021 (4 years 4 months)

Trained and deployed perception models (YOLOv3, PointNet) and built MLOps pipelines on Databricks and Azure ML to process 25TB/month of sensor data, reducing inference latency and supporting autonomous shuttle deployments in retirement communities.

TensorFlow YOLOv3 PointNet Databricks Spark MLFlow Kubernetes CUDA

Machine Learning Engineer

Startup X

Jan 2015 - Dec 2016 (1 year 11 months)

Built ROS robotics nodes, real-time computer vision, WebGL dashboards, and healthcare AI models (ECG analysis) while scaling backend services and asynchronous systems for multiple startup products in robotics, healthcare, and workforce management.

ROS OpenCV TensorFlow Python C++Node React PostgreSQL RabbitMQ

Research Intern - ML

Amazon

Jun 2014 - Dec 2014 (6 months)

Developed recommendation models and ETL pipelines to process large-scale customer data, improving click-through rates by 8% and enabling daily updates for recommendation systems.