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Abhishek YadavAY
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Abhishek Yadav

@abhishekyadav35

Computer Science undergraduate building an Alzheimer’s MRI classification application with machine learning, APIs, and web technologies.

India
Message

I’m developing an Alzheimer’s Disease Detection System that classifies brain MRI scans. The project combines a Python and PyTorch machine-learning pipeline with Flask, REST APIs, and a React.js frontend.

For Synapse AI Agent, I developed and deployed a full-stack AI assistant with Chat, Study, Coding, and Math workflows. I integrated Groq and Tavily APIs, persistent conversation history, and JWT authentication.

During my AICTE virtual internship, I developed a machine-learning-based Water Quality Detection System using data preprocessing and feature analysis. I’m also a finalist in the Forge 2 · Edition 1 Hackathon, where I developed AI-native multi-agent applications using Hermes and OpenClaw.

Experience

Work history, roles, and key accomplishments

AI

Machine Learning Intern

AICTE

Jan 2025 - Dec 2025 (11 months)

Developed a Machine Learning-based Water Quality Detection System using data preprocessing, feature analysis, and machine learning techniques. Implemented and evaluated a workflow for analyzing water quality parameters and generating classification results.

Education

Degrees, certifications, and relevant coursework

PA

Pranveer Singh Institute of Technology (AKTU)

B.Tech, Computer Science Engineering

2023 -

Grade: 70% (Till 6th Semester)

Pursuing a B.Tech in Computer Science Engineering with a percentage of 70% up to the 6th semester.

PR

P.M.I.C Rarua

Intermediate (UP Board), Intermediate

Grade: 81%

Completed Intermediate (UP Board) with a percentage of 81%.

PR

P.M.I.C Rarua

High School (UP Board), High School

Grade: 76.83%

Completed High School (UP Board) with a percentage of 76.83%.

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