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Track 02 · AI Engineering & Forward Deployed

I build and deploy AI systems — from LLM orchestration to production.

I don't just write the spec — I build the thing. I designed JustReva's voice pipeline end to end (speech in → intent → LLM → speech out), made the build-vs-buy calls across 13+ providers, and I'm a named inventor on 15 patent-pending AI inventions at TD Bank. “Forward-deployed” just means I sit with the customer, inside the real constraints — latency, compliance, cost — and ship the thing that actually works.

15
AI/ML inventions · 30 filings (US + Canada)
<3s
end-to-end voice latency, speech in → speech out
13+
AI vendors evaluated & integrated
Proof

Work that speaks to this

The case studies that matter most for this role. Click any card to expand.

Patents

Named inventor on 15 AI/ML inventions

At TD Bank I'm a named inventor on 15 generative-AI inventions, each filed in both the US and Canada (30 filings in total). All are published applications — patent-pending, not yet granted — and cluster into three areas.

15
distinct AI/ML inventions
30
patent filings (US + Canada)
2023–2025
filed while at TD Bank

Full list on Google Patents.

Experience

Where this shows up

Dec 2025 — Present
JustReva

Co-Founder & Technical Product Lead

Voice AI for healthcare · LLM orchestration · HIPAA-compliant · Live product
  • Co-founded and shipped a production conversational AI product from scratch. Defined strategy, designed the LLM orchestration architecture (ASR, TTS, intent routing), and drove it to launch with a small founding team
  • Built the full discovery-to-trial journey: live voice demo, tiered SaaS pricing ($499/mo), and enterprise pilot program
  • Evaluated and integrated third-party AI providers across cost, latency, and compliance constraints. Making build-vs-buy decisions at every layer
  • Own end-to-end GTM: positioning, competitive differentiation, pricing strategy, and conversion optimization for a new product category with no established playbook
May 2025 — Present
TD Bank

Product Manager, Data & AI Platforms

Enterprise AI/ML · 100K+ users · Fraud detection · Vendor integrations
  • Own product vision, strategy, and roadmap for enterprise AI platforms supporting 100K+ users across multiple business lines
  • Led delivery of an AI-powered fraud detection platform providing real-time coverage across 100K+ employees, saving $5M+ annually
  • Drove vendor evaluation and third-party integration for AI/ML capabilities. Assessing build-vs-buy tradeoffs against scalability, performance, and compliance
  • Led cross-functional workshops with 12+ senior stakeholders across 5 product areas to align priorities and co-create solutions
Jul 2021 — May 2022
Summatti

Data Scientist, Product & Growth

Early-stage B2B SaaS · ML recommendations · Growth experimentation
  • Built and productionized ML recommendation systems powering user engagement and product discovery across multiple surfaces in a B2B SaaS product
  • Operated as hybrid PM/data scientist in a resource-constrained startup. Tying model improvements directly to activation and retention
Toolkit

What I bring to the role

Product & Growth

Product StrategyRoadmapping & OKRsFunnel OptimizationA/B TestingGrowth KPIsPLGGo-to-MarketPricing StrategyCompetitive Analysis

AI & Technical

LLMs & LLM APIsConversational AIASR / TTS / VoicePythonSQLML PlatformsAWS / GCPData PipelinesExperimentation Infra
Get in touch

Need someone who can architect the AI and sit in front of the customer?

I'm exploring AI engineering and forward-deployed engineer roles. I bring product judgment and a builder's hands.