Cole Hoffman
Forward Deployed Applied AI Engineer
High ownership execution across ambiguous, high stakes problems spanning applied AI, product delivery, stakeholder management, and adoption.
Best fit for teams that need a builder who can find the wedge, work directly with users, ship quickly, and turn early momentum into durable systems.
Best fit
Founding engineer, forward deployed engineer, applied AI lead, and quant ML systems roles.
Forward Deployed / Founding Engineer
For teams that need founder-style execution, stakeholder ownership, product judgment, and technical range.
Open PDF →Quant / ML Systems
For roles centered on research systems, quantitative modeling, MLOps, and investment infrastructure.
Open PDF →Ad Hoc Consulting
Engagement pricing, scope tiers, and terms for consulting and contract work.
Open PDF →Selected Impact
$50M+
Annual alpha opportunity from MBS prepayment modeling
28K
Products forecasted across 36 brands
<14 days
Cloneable systematic investment pipeline delivered
300x
Backtesting workflow acceleration
5
Concurrent internal client engagements
3
Business units supported as an SME
Signature Systems
MBS Prepayment Modeling
Problem
The firm was paying for YieldBook licenses to model conditional prepayment rates.
Solution
Built TB scale data pipelines and ran experiments across CatBoost, XGBoost, and TensorFlow.
Outcome
Delivered a 20 model ensemble that beat the incumbent vendor in 18 months, tied to a $50M+ annual alpha opportunity.
Why it matters
Replaced a paid external dependency with a stronger internal modeling capability tied directly to trading decisions and alpha generation.
Fund Cash Flow Forecasting
Problem
A custom TensorFlow and Keras model lived across five notebooks with a five day training cycle.
Solution
Re architected the workflow into two SageMaker pipelines for production inference and distributed backtesting, with processing rewritten in Polars.
Outcome
Ran 360 models in parallel, completed a full 1996 to 2024 backtest in four days, and supported forecasts across 28K products and 36 brands.
Why it matters
Converted a slow research workflow into production grade infrastructure that improved speed, scale, and decision support.
SEC 10-K RAG Platform
Problem
Portfolio managers needed a faster way to work across SEC filings by company, year, quarter, and section.
Solution
Built end to end EDGAR ingestion, SEC XML parsing, vector storage in Pinecone, and LLM powered retrieval with intelligent query decomposition.
Outcome
Handed the platform off to the ML engineering team for production scaling and drove adoption across 5+ teams.
Why it matters
Turned unstructured filings into a usable research workflow and created reusable infrastructure for broader internal adoption.
GenAI Interpretability Layer
Problem
Researchers were losing days to manual experiment interpretation and hypothesis review.
Solution
Built an agentic system that ingests evaluation metrics, SHAP outputs, pipeline code, and researcher axioms, then produces executive ready reports and structured review workflows.
Outcome
Improved research velocity and was adopted across a 14 person research team.
Why it matters
Compressed manual interpretation work into a repeatable system that improved research speed, clarity, and team-wide consistency.
Career Arc
From data foundations to forward deployed applied AI leadership.
09/2024 to Present
Senior Applied AI Engineer / Tech Lead
Global Investment Systems, Vanguard
Now leading high ambiguity applied AI work across research, product delivery, stakeholder management, and team execution.
08/2023 to 09/2024
Applied AI Engineer
Global Investment Systems, Vanguard
Shifted into internal consulting, turning research prototypes into production AI systems and stakeholder facing products.
12/2022 to 08/2023
Full-Stack Engineer
Equity Investment Systems, Vanguard
Expanded into product delivery with analytics platforms and benchmark tooling for portfolio managers.
04/2022 to 11/2022
Machine Learning Engineer
Enterprise Advice, Vanguard
Moved into applied ML with personalization, tax optimization, and early MLOps foundations.
08/2021 to 04/2022
Data Engineer
Chief Data Analytics Office, Vanguard
Built the data foundations: enterprise ETL, metadata systems, and compliance workflows at scale.
What I'm Building
Core Toolbox
Languages & Frameworks
ML/AI
Domain
Cloud & Infrastructure
Data
DevOps
Creative