Savvica, 2004
E-learning. J2EE, then Rails. Acquired by Educomp.
I co-founded an e-learning company in 2004. We wrote it in J2EE, rewrote it in Rails, and sold it to Educomp.
AI-native lawyer and technology executive.
I build software, lead engineering teams, and turn legal experience into working products.
Shipping software since 2004. Called to the Ontario bar, 2012.
E-learning. J2EE, then Rails. Acquired by Educomp.
I co-founded an e-learning company in 2004. We wrote it in J2EE, rewrote it in Rails, and sold it to Educomp.
Regulation W compliance. Credit pricing on the grid. Eleven engineers.
Embedded at Barclays Capital. I built a Regulation W compliance system and a structured-credit pricing engine, and moved the quants' Excel toolkits onto grid services. The team grew to eleven.
Articled at Davies. Called to the bar in 2012.
I articled at Davies and have practised law since 2012.
3,500 restaurants. One espresso machine each.
Tim Hortons put espresso in every Canadian restaurant. I owned the program — vendor negotiation, product approval, installation — until 3,500 of them had a machine.
Roughly 45 million litres a year.
I led procurement and negotiated a five-year national dairy supply for the Canadian restaurants. Roughly 45 million litres of milk and cream a year.
A swab kit through Health Canada, and the lab that read it.
I wrote the entire backend in Rails, took a buccal-swab test kit through Health Canada, and stood up the certified lab that processed it. Entheon bought us.
AI governance, privacy, licensing.
Technology counsel, fractional, alongside the operating jobs. AI governance, privacy under PIPEDA and GDPR, and SaaS and IP licensing from seed stage to enterprise.
Cross-border trade collateral. Rails on GKE.
I architected and built the trade-collateral platform — Rails, PostgreSQL and Hotwire on GKE, with real-time document processing — and ran the first pilots with smaller exporters.
180 magazines to 350. Twenty-one engineers.
CTO and general counsel. Twenty-one engineers through three leads. I wrote the sales qualifier in Symfony myself. The network went from 180 magazines to 350 while I was there.
Founding engineer.
After the executive seats I went back to writing code full time. Hands-on is where the work is, and how I learn.
Canadian employment and contract research, free.
Coding agents read a treatise corpus in a sandbox of your own and answer with the passage attached. Waitlist-gated early trial, free.
Open BlacklineArgue aloud against an AI jurist.
Upload the brief and the record, then argue out loud. The jurist interrupts with questions tied to a passage, and keeps the transcript. Invite-only beta.
Open GreenroomFirst-round voice interviews, scored against your rubric.
A recorded voice interview against the employer's own weighted rubric. A score may only cite that candidate's own answers. Live alpha, free.
Open SlateOntario real estate, from the APS to the reporting letter.
AI real estate clerk and receptionist for Ontario lawyers. Send the APS; it carries the file to the reporting letter. The lawyer reviews, signs, registers and controls funds.
Open LintelThe rest of it.
Not everything is a job.
Most companies try to adopt AI by buying new software and asking people to learn it. It rarely sticks.
The models learned from centuries of people organising work: letters, memos, handoffs, sign-off. So treat agents as new hires. Give them the tools your people already use, a clear role, limits on what they may do and someone to report to. Then manage them.
I build AI agents that work the way people already work: by email, phone, chat, calendar and to-do list, managed like people.
Your team doesn't learn a new tool. They reply to an email.
An AI clerk for Ontario real estate lawyers, with no interface. The lawyer emails, texts or faxes the agreement. Lintel runs the searches, chases the lender and the other side, and drafts everything up to the reporting letter. The lawyer reviews, signs, registers and controls the funds.
Open LintelCo-founded an e-learning company, then sold it to Educomp.
Teach people inside the tools they already use, and they learn.
Built a Regulation W compliance system. The team grew to eleven.
A compliance system can check every trade. A person still signs.
Practised law since 2012.
Law comes down to one question: who may approve what?
Owned the national espresso program: vendor negotiation, product approval, installation.
3,500 restaurants got an espresso machine. 3,500 crews had to learn it.
Took a swab kit through Health Canada and stood up the certified lab that read it.
In a certified lab, a qualified person signs off every result. Agents need the same.
CTO and general counsel. Twenty-one engineers through three leads. Led AI adoption across the franchise network, reaching 220 franchises.
Franchise owners adopt what saves them time this week.
Founded Lintel. My own work runs through a team of AI agents, each with a set role.
Lawyers email Lintel like a clerk, and manage it like one.
I give my AI agents an email address, a calendar and a to-do list, and I manage them the way I'd manage people. Here is why it works, what it costs and where it breaks.
I'm glad to compare notes with people adopting AI in their teams, building agents, or hiring for this work. Connect on LinkedIn, find a time, or email me.
AI-native lawyer and technology executive.
Called to the Ontario bar, 2012.
A 32-second film about Ajay: software, law, kitchens, a lab, and what he makes now. Graphic scenes are illustrations, not archival footage. The costume and fire-truck photographs are real.