---
title: "Chaitanya Joshi - Software Engineer Intern in Bengaluru | Tal"
description: "Meet Chaitanya Joshi, SDE Intern @Livo Assistant | Building in AI | Developer thinking out loud about tools, startups & where software is actually going | MCA @ BIT based in Bengaluru. AI stack includes aistudio, anthropic apis, and claude code. Explore public work links including github."
image: "https://tal.club/meet/chaitanya-joshi/share-image"
---

# Chaitanya Joshi on Tal

## Headline

SDE Intern @Livo Assistant \| Building in AI \| Developer thinking out loud about tools, startups & where software is actually going \| MCA @ BIT

## About

I'm a developer who gets frustrated when great tools don't talk to each other\. Right now I'm building at Livo — designing AI pipelines that collapse months of manual work into hours\. Before that, I was running research workflows at RiseUpp and obsessing over why software teams still waste so much time on coordination that should be automatic\. Outside work, I write about three things: → AI tools that are actually changing how developers build \(not the ones that just got a press release\) → What's happening in the Indian startup ecosystem that doesn't make it to the news → The gap between how software gets built and how people outside tech think it gets built I'm also building a side project in the AI tools space\. Not ready to talk about it yet — but if you're obsessed with context, memory, and how we actually work across multiple AI systems, follow along\. Currently: Bengaluru \| BIT MCA '27

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

claude code

cursor

github copilot

meta

## Work experience

Software Engineer Intern at Livo Assistant, Jun 2026 \- Present · 3 mos, Bengaluru, Building at Livo\. — Designing and deploying AI pipelines that automate complex, multi\-step workflows — Engineering deep software integrations across data sources, documents, and systems — Cutting months of manual effort down to hours with zero human intervention

Research Analyst at RiseUpp, Dec 2023 \- Feb 2024 · 3 mos, • Analysed and processed structured datasets to extract actionable insights, applying quantitative research methods • Designed and executed research workflows; documented findings used in internal product decisions • Validated data accuracy and consistency across multiple sources using systematic testing approaches • Collaborated cross\-functionally to synthesise research outputs into digestible reports

## Education

Master's degree, Computer applications, Bangalore institute of technology

parivarthan gurukul heritage

## Public links

- github: https://github\.com/chaitanya\-link

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

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