Minh Nguyen.
I build ML systems from zero to production. Fast.
Machine Learning Engineer with 3+ years at BlackRock, Tesla, and Homebase (Y Combinator). Strong foundation in taking ML systems from zero to production — spanning document intelligence, agentic reasoning, RAG pipelines, and real-time data infrastructure. AI-native workflow with Claude Code, Copilot CLI, MCP servers, and custom agent skills. I work best in high-ownership teams that value speed, reliability, and end-to-end execution.
Cold emails welcome. Fastest reach is direct email.
Built and shipped 4 production LLM and agentic systems end-to-end — automating 20,000+ hours of financial operations annually and serving 200+ internal users across RockAI.
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Built FIESTA, an end-to-end document understanding pipeline that automatically processes and extracts structured data from invoices using LLMs, OCR, and embedding-based retrieval.
LangChain Azure Document Intelligence Embeddings RAG Python Docker Kubernetes -
Designed ValidAide, an agentic validation engine that reasons over documents and databases to automatically QC financial reports — replacing a previously manual process for a 30-person team.
LLM-as-a-Judge Agentic AI LangGraph SQL Python Docker Kubernetes -
Created AI Halo, an internal Python SDK that gives the org a standardized way to measure AI adoption, system performance, and business ROI across all RockAI products.
Python Java Snowflake InfluxDB Grafana Power BI Docker Kubernetes -
Shipped a LLM-powered ticketing platform that triages requests, generates actionable items, and automates leadership reporting for 200+ internal users.
LLMs Streamlit Docker Kubernetes Azure DevOps
Shipped real-time ML infrastructure across vehicle manufacturing assembly lines — reducing downtime by 30% and giving engineers predictive visibility 3 days ahead of equipment failure.
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Built a predictive maintenance system for factory robots — training ML models to forecast equipment failures before they cause production downtime, achieving 90% accuracy 3 days ahead.
TensorFlow scikit-learn Time Series SHAP Python -
Developed real-time anomaly detection systems across production lines to surface equipment failures and improve visibility for manufacturing engineers. Reduced downtime by 30%, optimized runtime by 500%.
Go Python InfluxDB MQTT Grafana Docker -
Trained regression models to simulate equipment behavior, giving engineers a data-driven way to refine and tune machinery across 200+ welding robots.
scikit-learn MLflow Python CI/CD Jenkins
Designed and shipped two production ML systems from scratch at a YC-backed startup — a recommender engine on AWS and a risk automation platform with full MLOps infrastructure.
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Designed and shipped a hybrid recommender system for a real estate platform — combining embedding-based and collaborative filtering approaches, served via FastAPI on AWS.
FastAPI AWS Embeddings Collaborative Filtering Docker -
Built a risk automation platform for a prop-tech financing workflow that flags high-risk deals, enforces underwriting rules, and generates audit logs automatically.
Streamlit FastAPI Celery PostgreSQL Docker -
Set up MLOps pipelines with drift detection and blue-green deployment to keep production models reliable over time.
MLflow CI/CD Docker Redis Scrapy
Built and deployed an interactive ML education platform on Kubernetes, making complex algorithms accessible to Virginia Tech students and faculty at scale.
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Built and deployed an interactive ML visualization platform for teaching and research at Virginia Tech — enabling hands-on exploration of ML algorithms.
Python Dash Plotly GCP Kubernetes -
Made complex ML concepts more accessible to students and faculty through visual, interactive exploration tools served on a production Kubernetes cluster.
Python Flask Docker GCP
Developed a deep learning system for SCADA cyber attack detection, ranking top-3 on the BATADAL benchmark and publishing findings in the Elsevier Journal of Water Process Engineering.
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Developed a deep learning cyber attack detection system for water distribution infrastructure — modeling spatial-temporal patterns across large-scale SCADA sensor networks in Washington D.C.
PyTorch Graph Neural Networks SCADA Time Series Python -
Built a production monitoring dashboard to integrate the ML pipeline into an industrial SCADA workflow, making model outputs actionable for operators.
Python Dash Plotly SCADA -
Validated the system against simulated poisoning attacks using synthetic data generation, achieving a top-3 ranking on the BATADAL benchmark. Published in Elsevier Journal of Water Process Engineering, Vol. 52 (2023).
Adversarial ML Synthetic Data Research Publication
Led a 7-person team to build a satellite road quality classifier — 2nd place among 8 universities, with an 80% reduction in adversarial attack vulnerability.
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Led a team of seven to build a satellite image classification pipeline for assessing road quality in developing regions — from raw data collection through model training and evaluation.
TensorFlow CNN Transfer Learning Computer Vision Python -
Improved model robustness against data poisoning attacks by developing an Autoencoder-based defense mechanism, mitigating 80% of adversarial attacks.
Autoencoder PyTorch Adversarial ML Data Augmentation -
Placed 2nd among eight universities in the Geo Lab Research Fellowship competition for model performance and dataset size.
Research Team Leadership
End-to-end agentic mobility pipeline on the Microsoft Geolife GPS dataset: classifies commute mode from raw GPS, estimates per-user carbon footprint, and simulates how Apple ESG nudges shift behavior using LLM-powered agents.
Built nights and weekends. Day-job production work is in Experience.
Graduate research focused on machine learning systems, trustworthy AI, and scalable infrastructure. Funded by the Commonwealth Cyber Initiative (CCI).
GPA: 3.9 / 4.0 · Deep Learning, Reinforcement Learning, Trustworthy ML, NLP, Computer Vision, Scalable System Design.
Undergraduate foundation in computer engineering with a focus on systems, algorithms, and applied ML.
GPA: 3.7 / 4.0 · Machine Learning, Data Analytics & Visualization, Software Engineering, Data Structures & Algorithms, Computer Architecture, Embedded Systems.
Agentic AI
AI Tooling
AI / ML
Backend
Data
Cloud & DevOps