Open to opportunities

William Huang

@williamhuang5

Message

Senior AI/ML engineer specializing in LLM systems, RAG, and scalable ML infrastructure.

United States

Message

What I'm looking for

I seek senior technical roles building production LLM/AI systems and scalable ML infrastructure, collaborating cross-functionally to deliver robust, observable, enterprise-ready AI services.

I am a Senior AI/Machine Learning Engineer with 8+ years building production AI systems, LLM applications, and scalable ML infrastructure across financial services, enterprise analytics, and unstructured data intelligence. I design end-to-end AI platforms covering data pipelines, model training, deployment, monitoring, and scalable inference using modern stacks like Python, PyTorch, Kubernetes, and cloud services.

My work includes productionizing LLM/NLP systems for document intelligence, hybrid retrieval architectures combining embeddings and vector databases, RAG pipelines, multi-step agentic workflows, and entity-resolution models using transformer architectures. I have engineered embedding generation, indexing, OCR-validation, event-driven pipelines with Kafka, and REST APIs to expose search, extraction, and generative-AI capabilities.

I partner with product, platform, and data engineering teams to translate business requirements into reusable AI services, improve delivery velocity, and harden ML systems for enterprise use, while establishing model evaluation and observability frameworks to monitor accuracy, latency, and drift.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Kensho Technologies

Aug 2023 - Present (2 years 7 months)

Designed and productionized LLM and NLP systems for unstructured financial documents, implemented RAG-backed retrieval and agentic workflows, and productionized scalable inference pipelines on Kubernetes and AWS to improve search and extraction reliability.

Python PyTorch RAG Faiss Pinecone Kubernetes AWS Elasticsearch

Principal Data Scientist

Capital One

Jun 2021 - Aug 2023 (2 years 2 months)

Developed predictive and prescriptive ML models for workforce planning and attrition, built scalable feature engineering and ETL pipelines on Databricks/Spark, and operationalized models via repeatable inference and monitoring to support HR decision-making.

Python SQL scikit learn Databricks Apache Spark ETL Modeling REST APIs Experimentation

Assistant Researcher

New York University

Sep 2020 - May 2021 (8 months)

Conducted research on transformer-based language models and implemented training and evaluation pipelines using PyTorch and TensorFlow to advance NLP benchmark performance and representation learning.

PyTorch TensorFlow Transformers NLP Model Evaluation data preprocessing

Portfolio Risk Analyst

American International Group

Aug 2016 - Jun 2019 (2 years 10 months)

Built recurring portfolio risk exposure reports and automated stress-test analyses using SQL and Python, improving reporting consistency and reducing manual work for weekly and monthly risk reviews.

Python SQL Pandas Excel Data Modeling Reporting Automation