Available for hire

ashutosh
bhagat.

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

View My Work My Resume

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

Clipy-Clipboard Screenshot
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
View Project
Handwritten Digit Classifier screenshot
02.Machine Learning Project
In Progress

Car Resale Price Prediction

A Machine Learning project that predicts the price of a car based on its features. It uses a dataset of cars and their features to train a model to predict the price of a car. The accuracy of predicted price is arounf 92% which is pretty good. I have used Supervised Learning to train the model.

Python Machine Learning Supervised Learning
View Project
Clipy-Clipboard Screenshot
03.Machine Learning Project
Deployed

Student Performance Prediction

In order to forecast student's midterm grades based on a variety of behavioral and academic factors, the project employs supervised learning and a linear regression model. Examining how machine learning can help with academic performance analysis and prediction was the aim.

Python Machine Learning Streamlit
View Project

Let's work together.

Open to ML Engineering & Frontend Developer roles.

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

© 2025 Ashutosh Bhagat. All Rights Reserved.