Insha Khan profile photo 1 on Tal

Insha Khan

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

Lucknow

1+ year of work experience

Dognosis
May 20254 mosAug 2025

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.
Ashoka University
Jan 20251 yr 5 mosMay 2026

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
Extern
Jun 20242 mosJul 2024

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.
Koita Centre for Digital Health - KCDH (Ashoka)
May 20242 mosJun 2024

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
Ashoka University
Apr 20247 mosOct 2024

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

Insha’s AI Stack

antigravity
antigravity
cursor
cursor
opencode
opencode

Education

Ashoka University

Bachelor of Science - BS, Mathematics and Computer Science

Ashoka University

20224 yrs2026
City Montessori School

High School Diploma

City Montessori School

20184 yrs2022

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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