Building AI-native products that compress time for the world's most important professionals. 5+ years shipping GenAI features, ML-powered tools, and platform products across B2B SaaS.
I'm a Technical Product Manager who sits at the intersection of AI/ML engineering and human-centered design. My work spans GenAI automation pipelines, narrative generation systems, intelligent comp-suggestion UX, and mobile field inspection tools — all built for professionals who can't afford friction.
At Valcre, I own the roadmap for AI-backed features in commercial real estate appraisal software: from an Azure OpenAI MCP document processor that extracts structured JSON from leases and income statements, to a Narrative Generation system with USPAP-compliant prompts, to an AI-powered comp suggestions engine with real-time similarity scoring.
Before that, I shipped ESG carbon-footprint tracking at Eka Software, integrated ML-based contextual search at Firstsource, and led behavioral analytics and food-ordering features at Sodexo — driving 20–40% adoption gains across the board.
My superpower: I write production-grade prompts, stress-test AI outputs against adversarial data, and design guardrails — then translate all of that into PRDs and roadmaps that engineering actually ships.
Designed the end-to-end UX and product strategy for an AI comp-suggestion system that automatically surfaces the most relevant comparable sales for appraisers, scored by similarity to the subject property. Replaced a manual search-only workflow with an intelligent suggestion layer that learns from appraiser feedback.
Defined, prompted, and stress-tested a production GenAI narrative writing system embedded inside Valcre's Excel add-in. Appraisers click a "Writer" button on any narrative field to receive three AI-generated variants (Short, Standard, Detailed) drawn exclusively from structured Excel named ranges — with strict prohibitions on interpretive language, speculation, or hallucinated data.
Led handover and product strategy for an Azure OpenAI agentic document processor. Dropped commercial real estate documents (leases, rent rolls, income statements) into Azure Blob Storage, triggering an MCP orchestration pipeline that classified document type, applied schema-matched prompts, and produced structured JSON for import into Valcre's platform — eliminating manual data entry entirely.
Specified and designed a mobile-first voice memo feature enabling appraisers to record field observations during property inspections. AI auto-transcribes audio, generates an LLM summary, extracts structured data points, and links recordings to timestamped GPS coordinates and photos — creating a searchable inspection knowledge base on the property record.
Led product development for ESG-focused modules within Eka's commodity trading and risk management platform. Enabled enterprise clients to track Scope 1/2/3 emissions, optimize resource utilization, and generate compliance-ready sustainability reports — reducing reporting delays by 40% and deploying in 10 weeks.
Integrated a machine learning–based contextual search feature into Firstsource's enterprise customer support product. Replaced keyword matching with semantic, intent-aware search that surfaced relevant knowledge articles and resolution paths — cutting troubleshooting time for support agents by 40% and boosting product adoption by 30%.
Designed and launched three major consumer features for Sodexo's corporate cafeteria platform: a "Pay Later" deferred payment option, a real-time wait-time tracker, and personalized food recommendations. Also introduced a vendor rating system and online menu viewing — collectively driving 30% more daily transactions and 20% higher adoption.
The Narrative Generation feature required more than prompt writing — it demanded a production-grade prompt architecture with adversarial testing, hallucination prevention, and Azure AI safety integration. Here's how I engineered it.