---
title: "C Kaustubh - AI Intern in Bengaluru | Tal"
description: "Meet C Kaustubh, AI Intern @ Together | Prev Applied AI Intern @ Aveva | Prev Research @ C-ISFCR | CSE Senior @ PES University based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including github and c-kaustubh.netlify.app."
image: "https://tal.club/meet/c-kaustubh/share-image"
---

# C Kaustubh on Tal

## Headline

AI Intern @ Together \| Prev Applied AI Intern @ Aveva \| Prev Research @ C\-ISFCR \| CSE Senior @ PES University

## About

Hi, I am Kaustubh\. Senior at PES University\. Machine Learning and AI Researcher with expertise in ASR and NLP\. In the never\-ending pursuit of getting papers reviewed\.

## Location

Bengaluru

## AI stack

claude code

codex

cursor

hugging face

Granola

llama\.cpp

## Work experience

AI Intern at Together, Aug 2026 \- Present · 1 mo, Bengaluru

Teaching Assistant at PES University, Jan 2026 \- Present · 8 mos, Bengaluru, Teaching Assistant for the course Microprocessors and Computer Architecture and Big Data \(at CCBD\)

AIML Intern at AVEVA \(Schneider Electric\), Jun 2026 \- Jul 2026 · 2 mos, Bengaluru, As an AIML Intern at AVEVA, I played a pivotal role in enhancing AVEVA Connect, the company’s cloud\-native Industrial Intelligence platform\. My primary focus was on integrating AI into the Calculation Management Service using Azure OpenAI, which facilitated natural\-language querying of industrial process KPIs\. This experience allowed me to deepen my understanding of AI technologies and their application in industrial settings\.

Technical Lead at Shunya PESU, Jan 2026 \- May 2026 · 5 mos, On\-site, Built and maintain the club website in React/TypeScript/Tailwind\.

Research Intern at Center for Information Security, Forensics and Cyber Resilience, Jun 2025 \- Jul 2025 · 2 mos, Bengaluru, Under Prof\. Preet Kanwal • Designed multi\-modal pipelines \(YOLOv11 \+ Optical Flow \+ LLaVA\-Next \+ LLaMA\-3\) for unsupervised video anomaly detection on the NWPU Campus Dataset \(16\.5h footage\); 75\.48% classification accuracy with F1 0\.845–0\.895 via a keyword\-free composite scoring framework\. • Built a hierarchical LLM summarization engine for arbitrary\-length video with GPU\-accelerated inference \(RTX 4090, CUDA 12\.1\); benchmarked against Gemini\-2\.5\-Flash with comparable scores at lower serving cost

## Education

Bachelor of Technology \- BTech, Computer Science, PES University

Class 12, Computer Science, Bangalore International Academy

## Public links

- github: https://github\.com/snigenigmatic
- c\-kaustubh\.netlify\.app: https://c\-kaustubh\.netlify\.app/

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

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