SentryML
A machine-learning system you can inspect.
Predicts customer churn with an XGBoost model, exposes predictions through FastAPI, and records model and data-drift signals for review.
AI DEVELOPER / APPLIED AI
Machine learning, LLMs, and safer AI systems.
PORTFOLIO AI
A guide to my work, projects, and learning
Portfolio-only answers · based on the project details shown below
Three projects. One curious direction.
A machine-learning system you can inspect.
Predicts customer churn with an XGBoost model, exposes predictions through FastAPI, and records model and data-drift signals for review.
Exploring safer AI operations.
A learning lab where policy checks constrain AI tool calls, deterministic gates verify changes, and rollout controls can promote or roll back a release.
A custom-domain email product.
A product exploration for creating and managing custom-domain mailboxes, with a focused inbox experience and an evolving mail-service foundation.
A little about how I build.
I’m drawn to the point where AI meets real work—and where careful testing makes ambitious ideas more useful.
I learn by building practical systems: machine-learning APIs, tools that put guardrails around AI actions, and products shaped around everyday needs.
My projects are a work in progress. I share what each one does, how it is put together, and what I am still learning along the way.
Learning, completed.
COMPLETED · AUGUST 2026
University of Europe for Applied Sciences · Potsdam, Germany
HAVE A QUESTION OR IDEA?
For project questions, collaboration, or a conversation about applied AI, send me a note.
chavanpiyush100@gmail.com ↗