Benjamin Fuller
Benjamin Fuller

Benjamin Fuller

Engineering Leader · Founder-CTO · AI-Native Builder

Founder-CTO and hands-on engineering leader building production AI and the teams that ship it.

Denver, CO & Barcelona, Spain · US citizen with full EU work authorization · Open to remote (US & EU)

Real estate & proptech · FinTech & regulated data · AI-native platforms

Named inventorPatented Rental Automated Valuation Model
ComplianceZero audit findings · SOC 2 · HIPAA/CLIA
Work authorizationUS citizen · full EU work authorization

About

I've been the first engineer in the door, the co-founder who set the architecture and the hiring bar, and the leader directing 50+ engineers across four business units through their managers. I've built platforms from the first commit and grown engineering teams from one person to fifteen, reaching thousands of customers as a co-founder.

These days my work is AI-native: multi-agent systems, RAG, tool and function calling, and MCP integrations, with the evaluation, guardrails, and governance that keep AI a force multiplier instead of a liability. I care about outcomes over activity, I stay close to the code, and I build the kind of engineering culture where strong people do their best work.

15+ years spanning early-stage builds and NASDAQ-scale organizations. I think like a product owner and stay technical enough to challenge a model, interrogate an incident, and keep the trust of the engineers I lead.

I've shipped under real compliance bars throughout my career: SOC 2, HIPAA/CLIA-accredited healthcare infrastructure with zero audit findings, and regulated financial and mortgage data at a NASDAQ company.

As a US citizen based in Barcelona with full EU work authorization, I can join teams on either side of the Atlantic with no sponsorship required.

What I do

Experience

Co-Founder & CTO / Chief Automation Officer · InsidePartners.ai

2020 – Present · Remote · formerly Onit Tech Solutions
  • Co-founder and technical lead of an AI automation and fractional-engineering-leadership practice.
  • Build production agentic AI hands-on: multi-agent systems, RAG, and MCP integrations.
  • Built a real-estate ML decision engine (AppFolio/QuickBooks to BigQuery with a Looker layer) that scores hold, sell, refinance, and renovate per asset on DSCR, LTV, cap rate, and cash-on-cash return.
  • Set the standards, governance, and reference patterns for safe AI adoption.
  • Representative outcomes: cut a core billing process from three days to four hours; $250K+ in annual savings per engagement.

3 related projects →

Co-Founder & CTO → VP of Engineering · Nymblr

2022 – 2025 · Remote · acquired by Inunity
  • Built the full platform from the first commit on AWS, including a production ranking and lead-scoring engine serving 135M+ records at sub-second retrieval.
  • Reached 3,000+ clients and $50K MRR in 12 months; grew the team from 0 to 15.
  • After acquisition, led the technical integration into a live multi-product platform with no customer interruption.
  • Ran a cross-continental engineering team (US, India, Europe) through their leaders.

Screenshots, details and press →

2 related projects →

Head of Engineering · Onemata

2020 – 2022 · Denver, CO
  • First engineering hire; grew the team from 1 to 15.
  • Built a high-volume, event-driven streaming platform on AWS (Kafka, Spark on EMR, ECS) with proprietary data-quality, fraud-detection, and bot-detection algorithms.
  • Shipped a self-serve delivery portal that cut client onboarding from 3+ months to under 24 hours.
  • SOC 2; $1.2M in annual savings.

Screenshots and details →

3 related projects →

Manager → Senior Manager, Product Development · Altisource (NASDAQ: ASPS)

2014 – 2020 · Denver, CO + Global
  • Grew from the RentRange acquisition into enterprise engineering leadership.
  • Directed 50+ engineers across four business units, through directors and managers, on regulated financial and mortgage data.
  • Led enterprise cloud modernization to AWS with multi-million-dollar cost reductions.
  • Led roughly 7 M&A integrations.
  • Led a patented Rental Automated Valuation Model and an automated buy-box, property-matching, and underwriting platform that sourced, valued, and acquired single-family homes for investors at scale.

4 related projects →

Projects

Selected work, cross-referenced by company and by skill. Case-study detail is coming; the outcomes are real.

2020 – Present

Real-estate ML decision engine

Per-asset hold, sell, refinance and renovate scoring, fed from AppFolio and QuickBooks into BigQuery with a Looker layer.

Case study
Problem
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Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Scores each asset on DSCR, LTV, cap rate and cash-on-cash return.
2020 – Present

Agentic AI for core billing

A multi-agent system that took over a core billing process end to end.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Cut the process from three days to four hours.
2020 – Present

Responsible-AI governance and enablement

Reference patterns, guardrails and enablement programs for safe AI adoption, aligned to NIST AI RMF.

Case study
Problem
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Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Evaluation, least-privilege access and human-in-the-loop review became the default pattern; $250K+ in annual savings per engagement.
2022 – 2025

Ranking and lead-scoring engine

The production engine behind Nymblr's prospect search, built from the first commit on AWS.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Served 135M+ records at sub-second retrieval.
2022 – 2025

Integration into Inunity's platform

Merged a live product into an acquirer's multi-product platform while customers kept working.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Completed with no customer interruption, with a team spread across the US, India and Europe.
2020 – 2022

Event-driven streaming platform

A high-volume streaming platform for mobile location data, built on AWS.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Kafka, Spark on EMR and ECS; SOC 2; $1.2M in annual savings.
2020 – 2022

Data-quality, fraud and bot detection

Proprietary algorithms that kept the data feed clean at scale.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Quality, fraud and bot detection built into the pipeline rather than bolted on.
2020 – 2022

Self-serve delivery portal

A portal that let clients onboard and pull data without a project plan.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Client onboarding dropped from 3+ months to under 24 hours.
2014 – 2020

Enterprise cloud modernization to AWS

Moved regulated financial and mortgage data platforms to AWS across four business units.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Multi-million-dollar cost reductions.
2014 – 2020

Rental Automated Valuation Model

A rental valuation model built on RentRange data.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Patented; I am a named inventor.
2014 – 2020

Buy-box, matching and underwriting platform

Automated buy-box, property matching and underwriting that sourced, valued and acquired single-family homes for investors.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Operated at scale, buying homes for investors end to end.
2014 – 2020

M&A integrations

Technical integration of acquired companies into the enterprise platform.

Case study
Problem
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Approach
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse.
Outcome
Led roughly seven integrations.

Press

Skills

LeadershipEngineering org design, scaling teams through managers, hiring and coaching, distributed/global teams
AI-native engineeringMulti-agent systems, RAG, MCP, tool/function calling, vector search; AI coding tools; adoption enablement & governance (NIST AI RMF)
Platforms & scaleEvent-driven and near-real-time systems, Kafka, Spark/EMR, sub-second retrieval, high availability, observability
CloudAWS, serverless, containers/ECS, CI/CD, FinOps/cost optimization
AI stackAnthropic Claude, Claude Code, Cursor, MCP, RAG, vector search (Zilliz), BigQuery/Looker
Hands-onPython, TypeScript/React, SQL
Regulated & secureSOC 2, HIPAA/CLIA, regulated financial data
Product & commercialUnit economics, roadmaps, cross-functional partnership

Education

B.S. Management of Computer Systems
University of Wisconsin-Whitewater, 2011

Contact

The best way to reach me is on LinkedIn.

Languages: English (native), Spanish (B2)