Loading amazing content...
Loading amazing content...
open to senior w2 rolesi build production ai systems end to end. llm integrations that assume the model will fail, stripe billing that stays correct through webhook replay, multi-tenant postgres that keeps every tenant’s data its own. hand me an ambiguous business problem and you get back a live platform.

current focus
next.js · ai · postgres
nine production platforms between jun 2025 and jun 2026, all delivered. click any bar to read how it was built.
enterprise ai readiness platform · leading with ai, a limpid&co division · lead engineer
oct 2025 – jun 2026
delivered, live in production
the problem
enterprises roll out ai and adoption quietly stalls. leadership cannot see which teams are resisting, or why, so every intervention is a guess. built for a client presenting at web summit 2025.
outcome
phase 1 delivered and invoiced. i wrote the phase 2 production proposal, team structure and financials included, and it won. engagement completed jun 2026, platform live in production.
what i built
100% job success · 500+ hours · every review 5.0
“I contacted Dev for a long term project and his communication during has been great, going above and beyond to take care of any details along the way.”
enterprise saas platform
“Dev is bright, hard-working and an expert at modern development.”
full-stack dtc platform
“Dev is a great Engineer, he has strong technical skills and has been able to bring my AI app vision to life with quality work. I would recommend Dev.”
ai application build
“Hired him to consult me on some AI tasks and he did a great job. Helped me understand what I was doing better and next steps to take.”
ai architecture consultation
llm systems that assume the model will fail
money that stays correct through failure
the boring parts, done properly
the formal backing behind the shipped work.
credential of readiness: analytics, strategy & management
boston, ma
strategic planning professional
certification
python for data science, ai & development specialist
certification
technical degree: computer science & network support
davie, fl
before engineering full time
cut customer acquisition cost 45% and manual process load 60% · trained a team of 8 to 95% adoption, 30% lift in sales productivity
35% more successful appointments, 25% growth in qualified leads
i want to own a product surface, not a backlog column. my value is the full arc: understand the domain, model it into architecture, ship it. i want a role where that arc stays intact.
i'm best where ai is core to the product rather than bolted on. i've shipped five distinct ai integrations to production and i architect from the assumption that models fail: retries, fallbacks, deduplication, and billing that stays correct through all of it.
small to mid product team where engineers sit in product decisions. not a team of 200 where architecture is someone else's job.
i respond to every message. if the role is a good fit i'll say so clearly. if it's not, i'll say that too.
Dev Ganugapenta, resume
two pages ats-friendly, or three pages with the engineering detail