Mauricio Sutton

// experience

• › Forward Deployed Engineer @ Stellar Communities

  Jun 2025 — Present

  Aventura, FL

  • –Lead product for a 3-person engineering team, running daily standups, setting direction with founders, translating company goals into roadmap and architecture, and writing tickets for the team and myself.
  • –Own the full product loop across 3 products: user interviews, feature-request triage, scoping, building, testing in staging, demoing to users, and iterating until adoption.
  • –Unified the company's data onto a single portal, eliminating data silos by bringing scattered Excel files, documents, and operational data into one system, and structuring data flow from raw land acquisition through to asset management.
  • –Shipped a construction reporting tool now live across 3 active sites, built from direct user interviews and iterated to full sign-off, that tracks on-site contractors and gives investors visibility into build progress.
  • –Delivered an AI land-acquisition agent that cuts parcel research from days to minutes, built on a LangGraph ReAct loop over Claude with county-data APIs and anti-bot web retrieval, validated against a golden-set test suite.

• › Debt Financing Analyst @ OakNorth

  Jun 2024 — Aug 2024

  New York, NY

  • –Built underwriting models for 10+ commercial real estate bridge loan transactions up to $200M, screening deal viability and presenting findings to the Managing Director for credit committee consideration.
  • –Conducted NOI scenario analysis across varying market conditions to inform loan structuring and risk assessment.
  • –Structured loans up to $40M with co-lending arrangements and prepared term sheets for credit committee approval.

• › Data Analyst @ Entrio

  Jun 2023 — Aug 2023

  Tel Aviv, Israel

  • –Identified a critical accuracy failure in a production data pipeline processing 2,000+ records during initial QA review, prompting leadership to assemble a 5-person team to resolve it, which I went on to lead.
  • –Rebuilt the prompt engineering layer of a web scraping pipeline (BeautifulSoup + OpenAI) that analyzed IT solutions for banking clients, increasing summary accuracy by 31%.
  • –Ran QA/QC across data pipelines, tracing output errors to their root cause using statistical analysis and reducing error rate by 12%.

// skills

languages

Python, TypeScript, SQL

frameworks & libraries

React, LangGraph, Pandas, BeautifulSoup, Playwright

data & infra

Supabase, Redis

tooling

Claude Code, Git, n8n

// education

• › Bentley University

  2025

  B.S. Finance and Technology, Minor in Management

  Waltham, MA

  • –Academic honors: President's List, Magna Cum Laude.

// coursework & projects

• › Investment Applications of Natural Language Processing

  Jan 2025 — May 2025

  • –Engineered an NLP pipeline to extract and clean SEC 10-K filings and earnings call transcripts, parsing Item 1A, Item 7, and CEO/CFO comments from raw PDFs using PyPDF2 and regex.
  • –Applied TF-IDF cosine similarity, Loughran-McDonald sentiment analysis, and topic modeling to compare Tesla and Rivian's risk disclosure and management tone across reporting periods.

• › Introduction to Machine Learning

  Sep 2024 — Dec 2024

  • –Trained classification models for heart disease detection using logistic regression, decision trees, and K-fold cross-validation, achieving 90%+ prediction accuracy.

// additional

languages

Bilingual in English and Spanish

interests

Mixed Martial Arts, Snowboarding, The Grateful Dead