---
title: "Ayush Bhatt - Python Developer in Ahmedabad | Tal"
description: "Meet Ayush Bhatt, Biomedical Engineer | AI & Healthcare Technology Enthusiast | Aspiring R&D/ML Engineer based in Ahmedabad."
image: "https://tal.club/meet/ayush-bhatt/share-image"
---

# Ayush Bhatt on Tal

## Headline

Biomedical Engineer \| AI & Healthcare Technology Enthusiast \| Aspiring R&D/ML Engineer

## About

I’m a builder at heart, creating solutions that bridge AI, IoT, and intelligent systems to build impactful technology\. Some of the projects I’ve built include a smart pill bottle that tracks pill counts and sends medication reminders, an AI model for skin disease detection deployed as a web app with 85% accuracy and automation workflows linking WhatsApp to Google Drive via n8n for streamlined file sharing\. During my internship at IISc Bangalore, I built Python algorithms to analyze biomedical \(EOG\) signals, detecting eye blinks with 94% accuracy\. Skilled in Python, AI/ML, IoT, and automation, I turn ideas into prototypes and scalable tools\. I’m eager to join innovative teams as a Python developer, AI/ML engineer, or any role where technology creates real value\.

## Location

Ahmedabad

## Work experience

Python Developer at Indian Institute of Science \(IISc\), Jan 2025 \- Apr 2025 · 4 mos, Bengaluru, Karnataka, India, \- Developed Python scripts to process EOG data collected with EEG during a neuroscience task\. \- Cleaned and filtered signals using NumPy, Pandas, Matplotlib, SciPy, wavelet decomposition, and median filters\. \- Built a blink detection algorithm with 95% accuracy, identifying precise onset times\. \- Applied K\-means clustering to classify blinks by amplitude \(small, medium, large\) \- Created a hysteresis\-based saccade detection script \(horizontal, vertical, oblique\) with 62% accuracy \- Explored LSTM and PCA algorithms to optimize EOG analysis \- Conducted regression and correlation analyses on blink onsets with confidential task data \- Generated visualizations and statistical summaries to support lab’s research on eye movement patterns\. \- Enabled instant, automated blink onset detection, reducing researcher’s manual processing time by \- approximately 40% for EEG\-EOG integration\.

## Education

Bachelor's degree, Biomedical/Medical Engineering, L\.D\. College of Engineering

Sciene, Higher Secondary Education, RPTP Science School

[View the original profile](https://tal.club/meet/ayush-bhatt)

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