A founder who’d sat on both sides of the hiring table.
Before Curriculo ATS, Dev spent years inside systems that decide what people see. Recommendation engines. Ranking pipelines. The machinery that sorts a flood of inputs into the five or ten that matter. Work of that kind teaches you a quiet truth: the ranking is only as honest as the signal you feed it. Get the signal wrong and the whole thing launders bias at scale.
That lesson followed Dev into hiring. Watching teams run resumes through keyword filters that rewarded résumé tuning over the actual work, then complain when the short list felt thin. That gap between what hiring tools measured and what hiring actually needed became impossible to ignore. Curriculo started as the answer: a system that scores candidates on what they built, not what they knew to type.
“Keyword matching rewards the people who already know how the game is rigged. Outcomes reward the people who did the work.”
The path here, briefly.
Dev’s background sits at the intersection of machine learning and shipped-in-production software. At Synopsys, the work revolved around systems that had to be precise at scale: the kind of engineering where an off-by-one failure is measured in silicon, not tickets. At Amazon, it was search and recommendations: a constant stream of tiny judgements about what a person probably wants next.
That combination, rigor plus relevance, is the spine of how Curriculo thinks about hiring. An Impact Score isn’t magic. It’s a ranking function built on signals a hiring manager would actually cite if they had to explain their decision out loud.
Career notes
Every role, one consistent question.
Every role on the way here shaped how Curriculo ranks: what counts as evidence, what counts as noise, and who pays when you can’t tell the difference.
- Synopsys · Machine learning engineering
Engineering for precision at scale.
Software and ML work where tolerances are tight and wrong answers are expensive. This is where the bias toward measurable signal (numbers, not vibes) got set.
- Amazon · Search and recommendations
Learning how ranking systems fail.
Years on systems that rank candidates of a different kind: products, results, content. Every failure mode of ranking at scale (feedback loops, cold starts, bad proxies) now shows up in hiring software too. Worth noticing.
- 2024 · Curriculo founded, Brooklyn, NY
Starting from the resume side first.
Curriculo launched its AI resume builder to help candidates write resumes the way hiring managers read them: structured around outcomes, not buzzwords. Watching how candidates described their work turned the shape of a great resume into data, not opinion.
- Today · Curriculo ATS
An ATS that scores what resumes actually say.
The same signal framework running in reverse: an applicant tracking system that reads resumes the way Curriculo taught candidates to write them. Startups and small teams use it to replace keyword filters with a 0 to 100 Impact Score that stands up to scrutiny.
What Dev builds toward
Three non-negotiables for an ATS worth trusting.
Outcomes over adjectives.
Score the revenue generated, the team scaled, the system shipped. Never the adjective pile.
Flat pricing, no per-seat games.
Unlimited team members on every plan. Hiring is already stressful; billing shouldn’t be another axis of it. Why no per-seat fees.
Auditability by default.
A score should come with reasoning a hiring manager can read. Decisions a human can defend in a room.
By the numbers
Where the work has landed so far.
- 200+Founder teams in the ATS beta
- 75%Reduction in screening time
- 15 minFrom sign-up to first scored resume
Try what Dev built
Score your next hire the way great ones already think.
Post your first job free. No credit card, no per-seat billing, no implementation project. Just a candidate inbox already ranked by Impact Score.
Post Your First Job Free → Read the company story
More about the company on the About Curriculo page.