Machine Learning Engineer • Applied AI Builder

Leslie Liu

I build applied AI systems across RAG, LLM agents, knowledge graphs, ML pipelines, and full-stack product prototypes.

Open to building practical AI products Portrait of Leslie Liu
AI Systems RAG apps, knowledge graphs, model evaluation, and production-style inference workflows
3rd place at HackNCState with a production-ready crypto reliability scoring product
Cloud + Ship experience with GCP/AWS pipelines, APIs, CI/CD, and deployable AI prototypes

selected project

RAG • Knowledge Graphs

Notipala

A full-stack AI research workspace that turns conversations and files into evolving knowledge maps, grounded answers, and reusable research memory.

LLM agents Hybrid retrieval React + Cloud Run
Hackathon • Multi-agent AI

BigScore

A crypto reliability scoring platform that combines multi-source market, development, and security signals into an explainable 0-100 trust score.

Agentic workflow Scoring pipeline API-backed UI
Materials ML

Thermoplastic Elastomer Predictor

Forward and inverse ML models for polymer stress-strain prediction, paired with Bayesian optimization to guide performance-oriented material design.

Scientific ML Bayesian optimization Inverse design

Technical Skills

Languages Python, C/C++, Java, SQL, R, Matlab, JavaScript/TypeScript
Machine Learning PyTorch, TensorFlow, scikit-learn, RAG, LLM agents, knowledge graphs, vector/hybrid search, reranking, LLM evaluation, Bayesian optimization
MLOps & Systems Docker, Airflow, GitHub Actions, DVC, CI/CD, experiment tracking, model serving, monitoring
Cloud & Full-Stack GCP, Cloud Run, BigQuery, Cloud Composer, AWS Lambda, S3, AWS CDK, React, FastAPI, MySQL, PostgreSQL, ChromaDB
Data & Scientific Computing Pandas, NumPy, data analysis, visualization, scientific modeling, experimentation workflows

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