---
title: "Insha Khan - Computer Vision Intern in Lucknow | Tal"
description: "Meet Insha Khan, Ex R&D Intern @ Dognosis | Senior at Ashoka University | CS + Math based in Lucknow. AI stack includes antigravity, cursor, and opencode."
image: "https://tal.club/meet/insha-khan/share-image"
---

# Insha Khan on Tal

## Headline

Ex R&D Intern @ Dognosis \| Senior at Ashoka University \| CS \+ Math

## About

Hello\! I'm a senior @ Ashoka studying CS and Math with a strong interest in the intersection of theory and real world applications of problem\-solving\! My academic and project work spans machine learning, computer vision, natural language processing, and data analytics—with a deep appreciation for foundational subjects in math like Linear Algebra, Probability Theory, and Statistics\. Let’s connect and collaborate\!

## Location

Lucknow

## AI stack

antigravity

cursor

opencode

## Work experience

Computer Vision Intern at Dognosis, May 2025 \- Aug 2025 · 4 mos, Bengaluru, Karnataka, India, \- Developed a Judgement Bias Task analysis pipeline to quantify canine optimism–pessimism scores by training detection models \(SAM2 \+ YOLOv8x\) for dog tracking, and computing latency metrics across 50\+ trials\. \- Engineered and deployed an autonomous 8\-camera Raspberry Pi acquisition system with event\-triggered recording via remote ntfy signals, synchronized multi\-camera capture, and optimized mounting for full\-body canine tracking with an accuracy of 90%\. \- Contributed to behavioral ML pipelines replicating system services, and supporting datasets used for DeepEthogram and DeepLabCut\.

Teaching Assistant at Ashoka University, Jan 2025 \- May 2026 · 1 yr 5 mos, On\-site, • Assisted with the course Introduction to Computer Science under Prof\. Alok Thakkar and Prof\. Debayan Gupta, teaching functional and declarative programming paradigms for a class of 120\+ students\. • Assisted with the course Graph Theory and Network Science under Prof\. B\. Bhattacharya, an advanced graph theory elective for a class of 30\+ undergraduate students\. • Assisted with the course Infomation Security under Prof\. Subhashis and Prof\. Aalok, for a class of 40\+ students

Intern at Extern, Jun 2024 \- Jul 2024 · 2 mos, Remote, • Exploratory Data Analysis using Data Science libraries like numpy, pandas, sci\-kit learn, seaborn • Sentiment Analysis and Consumer Insights using Gemini AI • Strategic Insight Development using data visualization tools to present insights that inform strategic brand building\.

Summer Intern at Koita Centre for Digital Health \- KCDH \(Ashoka\), May 2024 \- Jun 2024 · 2 mos, Remote, • identified impact of the type of health insurance on a sample of MIMIC IV dataset • used Exploratory Data Analysis, identified trends and analyzed patterns within the data • pitched strategies for resource allocation, identified disparities in healthcare services offered

Research Intern at Ashoka University, Apr 2024 \- Oct 2024 · 7 mos, Research Intern under Prof\. Anirban Sen • identifying media biases in newspaper articles around agricultural laws and farmers protest in India • NLP: LLaMA embeddings, BERTopic for topic modeling, Dimensionality Reduction: UMAP for visualizations, Clustering: HDBSCAN for extracting dense clusters\. • planned to present a poster at ACM COMPASS 2024

## Education

Bachelor of Science \- BS, Mathematics and Computer Science, Ashoka University

High School Diploma, City Montessori School

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

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