Quantiphi and Google PSO · 2018 to 2019
Enterprise vision and ML delivery for Fortune 500 clients, with Google's services team
Led by Ansuj Joshi as machine learning engineer at Quantiphi Analytics, May 2018 to Dec 2019, including work with Google Professional Services as Associate Cloud Engineer
Situation
Fortune 500 clients, including Disney, needed computer vision, NLP and predictive analytics shipped on cloud infrastructure.
What we built
A real-time computer-vision safety system on Kubernetes with autoscaling, and an Agile ML API on GCP AI Platform.
What changed
Deployment time for ML APIs fell by 60%.
The problem
Enterprise ML projects fail at the last mile: getting a model into an API that scales, is monitored, and ships on a schedule.
What we built
- A real-time CV safety system deployed on Kubernetes with autoscaling.
- An Agile ML API pattern on GCP AI Platform, built with Google PSO, that made deployment a repeatable step.
How it works
- Models are packaged as services with a standard interface; deployment is a pipeline, not a project.
What changed
60%
faster ML API deployment
Source: Ansuj Joshi resume, 2026
Stack
If this looks like your situation
Tell us where it hurts. We will say whether it is worth automating, and what we would build first.
Related work
Agriva, real estate
2026
86 live listings, most of them wrong somewhere, and admins fixing by hand
The whole catalogue was audited and cleaned with an audit trail on every change, and new listings cannot publish with a critical issue.
86live listings audited
Built by Vyzma. Led by Ansuj.
Cyncly, B2B software
2023 to 2025
Customers could not find a product they could only picture
Customer engagement rose 35% and inference latency fell 40%.
35%higher customer engagement
Led by Ansuj Joshi as senior AI engineer at Cyncly (formerly 2020 Technologies), Nov 2023 to Jan 2025
Agriva, real estate
2026
Buyers could not search farmland the way they talk about it
Chat is now the primary way buyers search on agriva.ai, and every answer is grounded in listing data rather than guessed.
Built by Vyzma. Led by Ansuj.