Software & Data Engineer · New York

Joseph Taddeo

I build the software and data systems behind business decisions.

Currently the sole engineer at MoFin Lending, a business-purpose real-estate lender. I turn borrower data, sales activity, and financial workflows into tools that teams can act on—from identifying financing demand to understanding a deal’s history.

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01

Selected Work

Lending intelligence, deal attribution, acquisition infrastructure, and commerce software. The decisions and engineering behind each build.

Conceptual flow from authenticated editing through versioned publishing to site content

MoFin · Web development and quality engineering

Lending Website & Visual CMS

Launched the lending website with financial calculators and lead capture, then built a visual CMS for business users. Authenticated in-page editing, versioned publishing, undo history and real-time collaboration.

↗ Gave business users a visual workflow for maintaining site content

Next.jsReactTypeScriptAirtablePlaywrightVitest
  • Financial calculators with testable business logic
  • Validated lead capture connected to Airtable
  • Automated content, visual, and interaction checks
How I built it
  • Translated lending requirements into customer-facing tools
  • Built regression checks for the migration
  • Connected lead intake to the broader operations workflow
Read case study →
Conceptual flow from source records through reconciliation to financing signals

MoFin · Proprietary analytics platform

Borrower & Lending Intelligence

Built a canonical borrower and loan data platform across vendor, property, CRM and operating records. Field-level provenance, entity resolution and repeatable data rebuilds.

↗ Turned conflicting source records into traceable financing signals

PythonSQLPostgreSQLETLEntity ResolutionWeb Scraping
  • Hundreds of thousands of borrowers processed
  • Corrected over 100,000 loan-status records
  • Transaction-based mortgage reconstruction for borrower targeting
How I built it
  • Resolved related borrower entities
  • Reconstructed mortgage and transaction histories
  • Built models of borrower fit and financing demand
Read case study →
EZ-Lister screenshot

AI-powered desktop application

EZ-Lister

AI-powered desktop app that automates eBay listing creation. Deployed as self-updating macOS app — CEO trained and operates independently in daily production use.

↗ Cut listing preparation from 10 minutes to 30 seconds per item

Pythonsentence-transformersTkinterPyInstaller
  • 95% time reduction (10 min → 30 sec per item)
  • $250K+ annual revenue enabled
How I built it
  • AI classification using sentence-transformer embeddings
  • 77+ categories via word-boundary regex matching
  • Self-updating macOS app with GitHub release detection
  • Packaged a self-updating macOS application for daily business use
LuxeSwap Web Platform screenshot

Full-stack production platform

LuxeSwap Web Platform

Built the company's entire web platform from zero in 6 weeks. The company had no website before this. Full-stack production system with live inventory integration, B2B lead generation, and 8-language internationalization.

↗ Part of the LuxeSwap software suite that contributed to $350K+ year-over-year revenue growth

React 19ViteExpress 5Node.jsRedisSupabaseAWS S3
  • Live inventory integration and B2B acquisition
  • 19 pages with 8-language i18n (incl. RTL Arabic)
  • 30+ qualified B2B inquiries monthly and 500+ cumulative form submissions.
  • Built solo in 6 weeks
How I built it
  • Live eBay Browse API integration with Redis caching
  • "Artisan-Tier" brand showcases with scroll-driven CSS animations
  • Custom Puppeteer scraper for AuctionNinja with cron refresh
  • Dynamic sitemap, JSON-LD structured data, GDPR geo-based consent
View Live →
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02

About

Joseph Taddeo

I work directly with founders, sales teams, engineers, and vendors to define the problem, evaluate services, and build the solution. My work spans data modeling, application development, integrations, infrastructure, and one-on-one support for the people using it.

Previously, I was the sole engineer at LuxeSwap, a luxury consignment business generating $2.5M+ annually. My acquisition, inventory, pricing, and customer-operations systems contributed to $350K+ in year-over-year revenue growth; listing automation cut preparation time by 95%.

Education

University at Albany, State University of New York

Bachelor of Science in Computer Science, Minor in Mathematics

August 2020 – May 2025

Capstone: Career Intelligence Platform (IBM Watson sponsor)

By the Numbers

100Ks

Borrowers processed at MoFin

0 → 1

Sole engineering ownership at two businesses

95%

Less listing preparation time at LuxeSwap

$350K+

LuxeSwap YoY revenue growth contributed to

Background and technical skills →
03

Experience

Roles where I've built and shipped production systems independently.

MoFin Lending Corporation

GTM & Operations Engineer

April 2026 – PresentNew York, NY

Business-purpose real-estate lending. Sole engineer partnering directly with the co-founder and sales leadership.

  • Built a proprietary lender-intelligence platform combining SFRA and Forecasa, Zillow market data, historical mortgage rates, and internal borrower and loan-performance records; processed hundreds of thousands of borrowers
  • Built deal attribution across lead sources, email sequencers and agencies, Pipedrive, email/call/text activity, and internal processing and underwriting records; reconstructed historical deal paths and linked participants, touchpoints, and stage outcomes
  • Built canonical borrower and loan datasets with field-level provenance, entity resolution and repeatable rebuilds; replaced unreliable vendor payoff labels with transaction-based mortgage reconstruction
  • Built internal codebases and server-side pipelines connecting public-data collection with Pipedrive, Clay, Airtable, and Zapier; added deduplication, state tracking, and resumable processing
  • Built proprietary outbound infrastructure from zero across hundreds of mailboxes, with provisioning and deliverability monitoring and capacity to contact hundreds of thousands of leads monthly
  • Developed Django services and a Next.js website with financial calculators, validated lead capture and automated quality checks; launched a visual CMS with authenticated editing, version history and collaboration
  • Led technical discovery with founders, sales, engineers, and vendors; integrated AI services and MCP-connected tools and worked one-on-one with sales to turn requirements into usable deliverables

LuxeSwap

Software Engineer

February 2025 – April 2026Oyster Bay, NY

Luxury menswear consignment house. 25+ years operating. 9-person team. Sole engineer.

  • Owned acquisition, inventory, pricing, and customer-operations software for a $2.5M+ annual business; systems contributed to $350K+ in year-over-year revenue growth
  • Built full-stack web platform from zero in 6 weeks, generating 30+ qualified B2B inquiries monthly and 500+ cumulative form submissions.
  • Developed internal CRM with 17 JWT-secured API endpoints, replacing 2,000+ manual spreadsheets and managing 750+ consignor accounts
  • Built a pricing engine from 130K+ historical sales, supporting valuations and an interactive quote builder
  • Cut listing preparation 95%, from 10 minutes to 30 seconds per item, enabling $250K+ in annual revenue through added processing capacity
  • Unified 150K+ records across data sources via Python ETL pipeline normalizing 2,155 XLSX files into 25 canonical categories

FedEx Ground

Package Handler

May 2024 – February 2025Troy, NY

Part-time during final year of CS degree.

  • Processed 800–1,000+ packages per shift in high-throughput logistics environment
  • Maintained accuracy and met daily targets under tight operational deadlines
04

Contact

Interested in working together? Let's talk.

Direct Contact

jjtjoseph1@gmail.com516-669-9372

Connect

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