New York City Metropolitan Area
Founding Engineer building full-stack sales, operations, and data infrastructure at MoFin Lending, a direct real estate lender. Embedded in the sales and underwriting teams, optimizing and automating deal discovery, analysis, and quoting workflows surfacing revenue opportunities and saving thousands in man-hours annually. Architecting and developing an internal platform that automates outreach, prospect discovery, lead generation, campaign orchestration, product demand detection, and ideal customer profile (ICP) identification at scale. Designing and integrating enterprise data systems, business applications, and centralized databases across underwriting, sales, marketing, and operations to create a unified source of truth for the organization. — CS degree GTM engineer with a broad background in full-stack development, automation, and client consulting. Built an entire company's technical infrastructure solo in my first year — a production React/Node.js web platform, API integrations (eBay, auction platforms), a Python automation suite for dynamic data processing, and multi-source data pipelines for financial reconciliation. Most recent project completed is a bespoke end to end AI native outbound engine and full GTM tool suite. Results: >$2M in revenue processed, 30%+ revenue growth year-over-year, $250K+ in opportunity capture growth from direct operational efficiency increases supporting over $350K yoy, 26,000 items sold and processed, 50+ qualified online leads per month, and 95% reduction in core operational workflows. The company's biggest year on record. My work blends technical engineering with product-driven problem-solving — I build systems that non-technical teams actually adopt and rely on daily. I thrive in fast-paced environments where I can own problems end-to-end, from identifying the need to shipping the solutions.
Founding Engineer building full-stack sales, operations, and data infrastructure at MoFin Lending, a direct real estate lender. Embedded in sales and underwriting teams, optimizing and automating deal discovery, analysis, and quoting workflows surfacing revenue opportunities and saving thousands in man-hours annually. Utilizing a vast array of GTM and Software Development tools such as Clay, Smartlead, PlusVibe, Instantly, Mailivery, Warmly, Pipedrive, Zapier, PowerAutomate, PostGreSQL, Python, JavaScript, CSS, Claude and more. Building and integrating proprietary data analytics layers over industry standard data providers API’s such as SFR Analytics, Forecasa, Elphi, Bilrost, LoanPass, as well as cross enrichment from internal databases/OneDrive filesystems to Zillow, Redfin, AirBnB, and more. Whitespace prospecting. Supported $26MM+ origination month, 2nd largest in company history with over a dozen campaigns produced through a lead gen system largely targeting missed opportunities within the company’s database of known prospects, resurfacing revenue generation ability through multi platform enrichment, deeper analytics, and scalable mass data processing. Administrative responsibilities include researching, comparing and developing vendor relationships and services, project management, and regular executive consultation. Architecting and developing an internal platform that automates outreach, prospect discovery, lead generation, campaign orchestration, product demand detection, and ideal customer profile (ICP) identification at scale. Designing and integrating enterprise data systems, business applications, and centralized databases across underwriting, sales, marketing, and operations to create a unified source of truth for the organization.
RevOps Engineer building production automation, analytics, and integration infrastructure for a luxury consignment house. Sole technical resource on a 9-person cross-functional team — own end-to-end solution design, API integrations, deployment, user training, and ongoing stakeholder enablement. Systems built during tenure supported the company's highest-revenue year (~$2M+, 28,000+ items sold). CRM & Analytics Platform — Architected a full-stack CRM and real-time analytics dashboard (React 19 + Express + SQL), replacing 2,000+ manual spreadsheets with a unified data platform. Python ETL pipeline ingests 2,155 source files, normalizes 243 categories, and deduplicates 150K+ records. JWT-secured REST API (17 endpoints), dual customer segmentation, batch lifecycle management, automated commission calculations, and financial reconciliation across 750+ active accounts. EZ-Lister — Built a Python desktop app automating eBay listing creation, reducing processing time 95% (10 min → 30 sec per item) and processing 26,000+ luxury items annually. Rule-based classification across 77+ configurable categories. Configuration-driven architecture with Category Manager UI eliminated 3,000+ lines of hardcoded logic. Adopted by CEO for daily use — trained non-technical stakeholder on operation and configuration. Saves ~1.5 FTE in labor. Web Platform — Designed and deployed the company's first digital presence: 15,500+ LOC, 19 pages, shipped solo in 6 weeks. Live eBay API integration, Redis caching, 8-language i18n, SEO optimization. Generates 50+ qualified B2B consignment inquiries monthly from zero prior digital pipeline. Sales Consolidator — Automated multi-platform transaction reconciliation. Adopted by finance team for daily payout reconciliation across 750+ consignor accounts. Intelligence — Audited 8 years of auction data, normalizing 10,000+ raw entries into 7,273 verified brands (1,681 luxury labels). Powers data-driven B2B outreach and prospect scoring.
• Sort, scan, and load packages onto delivery vehicles or designated areas for transport. • Handle packages safely and efficiently to prevent damage during transit. • Follow all safety protocols and company procedures to maintain a secure work environment. • Work in a fast-paced environment, meeting tight deadlines for package sorting and delivery schedules.
-Drove a utility vehicle to evenly distribute and smooth out the TruCourt tennis court material, ensuring a level and consistent playing surface. -Operated the irrigation system to water the tennis court, maintaining optimal moisture levels for surface consistency and playability. -Maintained court cleanliness and line visibility -Coordinated with tennis shop manager for scheduling