Senior product leader with 15+ years shipping fintech, lending, tax, and enterprise SaaS platforms. Outside work, I build hands-on AI and automation prototypes to understand what these systems can actually do, where they break, and how product teams should design around them.
role: Senior PM · fintech & enterprise SaaS · AI-enabled product builder · MBA
An AI agent that scans postings, scores fit, builds dual ATS-tailored résumés and tracks every application — then a zero-downtime re-architecture executed by an AI agent under product direction, with a live demo and the whole system open-sourced.
An interactive chart that plots Bitcoin against its on-chain Realized Price bands — the collective cost basis of all holders — to show where price sits in the cycle. Aggregates three free public data sources live in the browser, deployed as a zero-backend static site.
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A multi-profile personal AI operating system: 100+ reusable skills, persistent memory, tool orchestration and multi-channel delivery across Telegram, Discord, Slack & email.
read case study →An AI investment-research engine with deterministic scoring frameworks — quality, return estimation and red-flag detection — across Indian and US markets, with automated daily monitoring.
I'm a product leader who ships complex platforms — and an independent AI builder on the side.
Over 15+ years I've taken complex platforms from messy constraints to shipped outcomes — across fintech, enterprise SaaS, lending, tax and audit. I've lifted NPS from 26 to 70 for 125,000+ professionals, cut time-to-market by 60%, and led a zero-data-loss cloud migration for an entire customer base.
Outside my day job, I build practical AI and automation projects hands-on: job-search workflows, investment research frameworks, browser automation, and data visualizations. These projects are a learning lab — a way to understand what AI can actually do, where it breaks, and how product teams should design around it.
The throughline: enterprise product judgment first, with hands-on AI fluency as an edge. Based in Toronto, open to senior product roles across fintech, enterprise SaaS, platform products, and AI-adjacent teams.
Scheduled agents that run real operations: scan, score, write, verify, report, and notify. Built with cron, memory, tools, browser automation, and human approval gates.
Parallel agents used for build, review, QA, and fact-checking. One agent can produce a plan, another can review it, and another can validate it against code or browser output.
Agents connected to real tools instead of just chat: files, browser, GitHub, Cloudflare, PDFs, messaging, cron jobs, and local scripts.
MCP-style tool connections that let agents reach outside the chat window and operate across local systems, web apps, and external services.
Real browser workflows for messy websites: logged-in sessions, page checks, form prep, screenshots, CDP cookies, and Playwright-style validation.
Comparing different engines, prompts, or models on the same input, then choosing based on useful output instead of vibes.
Using cheaper models for routine work and stronger models only where quality matters. The goal is useful automation without runaway cost.
Using AI agents as the build team: prototype, refactor, debug, test, and deploy, while I make the product calls on scope, tradeoffs, and quality.
Open to senior product roles across fintech, enterprise SaaS, platform products, and AI-adjacent teams. The fastest way to reach me is email or LinkedIn.