Open to Senior AI Solutions Engineer roles

I help adopt AI, starting with the resistant.

Companies call me when the pilot worked but the team never followed. I sit with the skeptics, map what's actually broken, and redesign from there.

Let's Diagnose → AI Solutions Engineer · Johns Hopkins EE
Akhil Vasvani
Role
AI Solutions Engineer
Background
Johns Hopkins EE (B.S. + M.S.) ML for signal processing
Recognition
Perplexity Business Fellow '25
Location
New York
10,000+ hours recaptured
1,000+ employees trained
500+ active users driven
Past 18 months
About
More art
than science.

Most companies force AI on their teams. I sit with them, understand their actual needs, and guide them there.

My framework — Describe → Diagnose → Redesign — is how I approach every engagement: understand what's actually broken before touching anything.

Every skeptic has an "aha" moment. Getting there is more art than science, but once it happens, they see the value themselves.

Career
The path here.

Engineering roots, AI in production, then the part nobody wanted to do — getting people to actually use it.

2024 — Present
AI Solutions Engineer · Internet Brands
New York

Lead AI adoption across a 7,000-person org. Standardized research workflows, ran literacy training for 1,000+ employees, and built internal tools that replaced six-figure vendor contracts.

Enterprise AIChange ManagementTooling
2022 — 2024
Machine Learning Engineer · Placeholder Co.
Remote

Shipped production ML pipelines for signal-processing workloads. Owned the path from research notebook to deployed service, and partnered with PM to translate model behavior into product surfaces.

ML EngineeringSignal ProcessingMLOps
2020 — 2022
Research Engineer · Johns Hopkins APL
Laurel, MD

Applied ML to defense-adjacent signal-processing problems. Co-authored two papers and built simulation tooling still used by the lab.

ResearchPythonPyTorch
2018 — 2020
M.S. Electrical Engineering · Johns Hopkins
Baltimore, MD

Focus on machine learning for signal processing. Thesis on adaptive filtering with neural networks.

Graduate Research
2014 — 2018
B.S. Electrical Engineering · Johns Hopkins
Baltimore, MD

Founding member of the campus ML reading group. Internships across signal processing and embedded systems.

Undergraduate
Download résumé (PDF) · Updated 2026
Case Studies
CS-01
Describe → Diagnose → Redesign
Enterprise AI Workflow Standardization
Internet Brands · 7,000-person org
"Nobody had questioned how research was done in over 10 years."
Outcome
90% reduction in research time
Read full case
CS-02
Diagnose → Redesign
UI Comparison Tool for Copyright Editors
Internal build · Replaced $50K vendor
"Editors took the blame. The tool couldn't catch pixel-level differences."
Outcome
~$300K in annual savings
Read full case
CS-03
Describe → Redesign
Marketing Team Daily Monitoring Dashboard
Data Eng + Marketing Team + PM
"15 files failed silently. Root cause took until 4pm to resolve."
Outcome
6–9 weekly hours → 4–6 minutes
Read full case
Writing
Coming soon
What I learned running AI literacy for 1,000 people
Soon
The skeptic is usually right
Soon
A field guide to Describe → Diagnose → Redesign
Soon
Contact

Let's diagnose what's actually in the way.

Tell me about the pilot that didn't land, the team that pushed back, or the workflow nobody questioned. I'll read it carefully and reply within two business days.

Send a message
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Direct Channels
Email
hello@akhilvasvani.com
Best for project inquiries — I reply within 48 hours.
Send email
LinkedIn
linkedin.com/in/akhilvasvani
For roles, referrals, and longer-form conversations.
Open profile
Twitter / X
@akhilvasvani
Where I think out loud about AI adoption.
Follow
GitHub
github.com/akhilvasvani
Tools, experiments, and the occasional teardown.
View repos
Based inNew York · ET
Response~48 hours, weekdays
CurrentlyOpen to Senior AI Solutions Engineer roles