Available for hire

ashutosh
bhagat.

Machine Learning Engineer & Full Stack Developer. Specializing in Supervised Learning models and high-performance FastAPI backends.

About Me

I started my tech journey in the creative field as a Graphic Designer, cultivating an eye for detail and user experience.

Driven by curiosity, I transitioned into engineering, finding my true passion in Machine Learning. I thrive on the logic of algorithms and the challenge of optimizing predictive models.

To bridge the gap between data and users, I mastered FastAPI and JavaScript. This allows me to not just build models, but deploy them as scalable, real-world applications.

Active Community Member

AWS UG Community Vadodara

ISTE Committee, SVIT Vasad 2026

Technical Head

A.I.M. Club

The A.I.M. Club

Vice President and Contributor

AWS UG Community Vadodara

AWS UG Community Vadodara

Contributor and Graphic Designer

Ashutosh Bhagat

Technical Proficiency

A breakdown of my engineering toolkit.

AI & Machine Learning

  • Python (Advanced)
  • Supervised Learning
  • Scikit-Learn & Pandas
  • Data Preprocessing

Frontend & Design

  • HTML5 & CSS3
  • JavaScript
  • Tailwind CSS
  • Graphic Design (Figma)

Featured Projects

01.Web Application
Deployed

Clipy-Clipboard

A secure online clipboard that lets users share text and files instantly through unique codes. Built for fast, cross-device transfer with temporary, privacy-focused access. Developed using FastAPI, Tailwind CSS, and modern web technologies for a smooth, lightweight experience.

Python FastAPI HTML5 & CSS3
02. Computer Vision

Handwritten Digit Classifier

An end-to-end Computer Vision project using CNNs. Features a React-based drawing canvas that sends image data to a backend model for instant classification.

TensorFlow React Canvas API

Impact

Improved QA accuracy to 98.6% and reduced support tickets by automating document triage for ops teams.

Let's work together.

Open to ML Engineering & Full Stack roles.

Avg. response time < 24 hrs • Happy to jump on recruiter screens first.

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