Over 10 years, our team at TLCengine has built a complete AI-powered real estate ecosystem — serving 40,000+ agents, securing $55M in grants, and winning industry awards. We didn't wait for permission. We built it. 38 live production services, purpose-built for luxury real estate. Together, we are stronger.
Replace fragmented Windows-era systems with a unified, cloud-ready architecture. Our team has already migrated production servers from Windows Server 2019 to Ubuntu 22.04, consolidated 12 servers, and built the middleware integration layer that maps all 65 BHS systems.
From virtual staging with FLUX.1 to automated property descriptions with Qwen2.5, from people intelligence dossiers to voice-powered market analysis — AI isn't a future plan, it's running in production. Our team operates dual RTX 5070/5090 GPU infrastructure powering real-time AI services.
59 million geocoding records. 860,000 NYC tax lots. REBNY feeds, DOB permits, PLUTO zoning, property sales — all unified through ETL pipelines into a single queryable platform with real-time APIs.
At TLCengine, led integrations combining MLS data (REBNY, All Jersey MLS, BrightsMLS using Trestle, Bridge Interactive, Spark API), public tax records, GTFS transit feeds, POI, and brokerage back-office systems (Anywhere API, MailChimp, Follow Up Boss, CINC Lofty) into unified workflows, automating 4–5 separate data processes and cutting manual data handling by 40%+. Led design and implementation of REBNY RLS compliance and listing-quality tool used by 40,000+ agents, integrating RLS listing data, association rules, and FHA guidelines into a single platform. Automated listing checks via AI reduced UCBA violations by 300%+.
As Enterprise Architect at TLCengine, delivered consumer search sites and portals for clients including realtor.ca (Cost of Living widget) and several MLSs/brokerages, taking projects from user stories to production in 3–6 months. Drove 25% increase in engagement on realtor.ca (100K page views in first two months) plus 10% increase in showings and 25% increase in web traffic for a U.S. MLS client.
TLCengine's lifestyle search and True Lifestyle Cost tools were embedded into MLS, broker, and portal environments used by 40,000+ agents at MFRMLS and BNAR. One collaborative search rollout saw ~45% of active users consistently using new tools within the first year (20+ percentage points higher than prior adoption). At Citi as VP of Innovation, streamlined access to internal tools for 200,000+ employees via SSO and smart auto-complete forms, increasing adoption from 5% to 30% in under 8 weeks using a global SWAT team (NYC, LA, Singapore, India, Ireland). Replicated across 6 additional products, earning a firm-wide innovation award from the COO.
For NJ Transit, led design of a single IoT and analytics stack integrating onboard sensors, video, Wi-Fi, GPS, and UWB across buses and rail, replacing multiple point solutions. This unified platform helped secure $55M USD in grants (including $25M for scale-up) and reduced need for separate vendor systems and duplicate data pipelines by 20%+.
At TLCengine, worked directly with MLS committees and brokerage leadership to simplify workflows (SSO, integrated search, responsive mobile web) and add agent-requested features. At BNAR, new collaborative search and portal doubled consumer engagement year-over-year and increased agents actively collaborating with clients to ~45% of users, reflected in higher NPS and renewal decisions.
As AI/ML innovation consultant for NJ Transit, led creation of "Innovation Train" platform that consolidated connectivity, edge compute, analytics, and monitoring into reproducible configuration, enabling $75M USD in grant applications ($55M awarded) while avoiding cost of buying multiple proprietary systems. At TLCengine, executed $1M+ USD in web SaaS implementations on time and under budget while increasing traffic and engagement by 25%.
Complete audit of all 65 BHS technology systems across 14 categories. Interactive survey system for technology assessment, project readiness dashboard with 10 persona-specific mockups, and a middleware layer designed to unify BHS's fragmented tech stack.
Full-stack property scanning platform: mobile app captures floor plans via LiDAR/camera, ML pipeline generates floor plans, AI writes room descriptions, virtual staging transforms empty spaces, and 3D Gaussian splatting creates dollhouse views. Web + iOS + Android.
Know your client before they walk in. AI-powered research platform that builds comprehensive profiles from web data, social networks, and public records. DISC personality analysis, event scanner for conference prep, LinkedIn integration, and bulk enrichment for entire contact lists.
End-to-end luxury real estate transaction management. Buyer journey (6 phases, 52+ steps) and seller journey (31+ steps) across 4 property types. Lifestyle quiz with neighborhood matching across 18 LocalLogic categories, interactive calculators, and role-based dashboards for 10 user types.
Full personal finance platform with mortgage calculator pulling live Freddie Mac rates, property tax lookup by state, 15 financial calculators, and a Chrome extension that overlays instant payment estimates on Zillow, Redfin, Realtor.com, and Trulia. 266+ passing tests.
3D interactive city visualization with building extrusions across 8 US cities. Split-screen 2D/3D view, 177 BHS NYC property markers, 6 color schemes, address search via self-hosted Nominatim, and building detail overlays. No external dependencies — pure performance.
Why pay per-query for Google Maps geocoding when you can own the entire stack? Two complete geocoding engines — Nominatim (59M places) and Pelias (72GB Elasticsearch index) — with unified Geo Service API providing autocomplete, geocoding, reverse geocoding, POI, schools, and boundary data.
860,000 NYC tax lots from PLUTO, DOB permits and violations, property tax assessments, sale records, and BHS listing scraper — all unified through automated ETL pipelines into a single REST API. The data backbone for every real estate decision.
Real-time monitoring and control across 2 GPU servers, 38+ services, 13 Docker containers, and 12 databases. Service restart/stop controls, GPU utilization (RTX 5070 + RTX 5090), disk health, SSL certificate tracking, and live log streaming.
Built SSO platform for 200,000+ employees. Drove adoption from 5% to 30% in 8 weeks with a global SWAT team across NYC, LA, Singapore, India, and Ireland. Replicated across 6 products. Earned firm-wide COO innovation award. Collaborated with Ruder Finn on Citi's 200th anniversary.
MLS/brokerage integrations for 40,000+ agents. REBNY RLS compliance tool. Inman Innovator Award for MFRMLS. Delivered realtor.ca Cost of Living widget (100K views in 2 months). Lifestyle search driving 25% engagement increase. $1M+ SaaS on time and under budget.
Led "Innovation Train" platform integrating IoT sensors, video, Wi-Fi, GPS, and UWB across fleet. Secured $55M in federal grants (including $25M scale-up). Won IDC Best in Future of Digital Innovation Award. Enabled $75M in total grant applications.
Our team built the complete ecosystem on this page: 38+ live services, 26 repositories, dual GPU servers, AI pipeline, geocoding infrastructure, middleware integration layer, and every tool a luxury brokerage needs — all running in production. Together we are stronger.
BHS faces Goliaths — Compass with $4.9B in funding, Serhant with celebrity media reach, Corcoran backed by NRT's billions. They have armies of engineers, unlimited budgets, and market dominance.
But our team has spent 10 years building precisely what BHS needs — with precision, speed, and deep real estate domain expertise.
We are that competitive advantage.
A team that has already created what their entire engineering departments are still planning. 38 live services. AI-powered intelligence. Self-hosted infrastructure that eliminates per-query costs. A middleware layer that maps every system BHS runs. Voice assistants that reduce agent friction. Tools that make agents 40% more productive.
Together, BHS and our team won't just compete in the luxury marketplace.
We will win it. Together we are stronger.