---
title: "Manjunath Karaguppi - Intern in Bengaluru | Tal"
description: "Meet Manjunath Karaguppi, AI Engineer | Python Developer | Generative AI & LLMs | RAG | AI Agents | FastAPI | Machine Learning | Building Intelligent Applications based in Bengaluru. AI stack includes antigravity, claude code, and cursor. Explore public work links including github."
image: "https://tal.club/meet/manjunath-r-karaguppi/share-image"
---

# Manjunath Karaguppi on Tal

## Headline

AI Engineer \| Python Developer \| Generative AI & LLMs \| RAG \| AI Agents \| FastAPI \| Machine Learning \| Building Intelligent Applications

## About

AI/ML Engineer passionate about building intelligent applications using Generative AI, Agentic AI and Machine Learning\. A 2026 B\.E\. graduate in Artificial Intelligence and Machine Learning, with hands\-on experience in Python, LLMs, RAG pipelines, AI agents and full\-stack development\. Previously interned at Samsung R&D Institute, working on AI evaluation and hallucination detection\. Technical Skills: • AI/ML: Python, TensorFlow, PyTorch, Scikit\-learn, NLP, Computer Vision • Generative AI: LLMs, RAG, LangChain, LangGraph, CrewAI, ChromaDB, FAISS • Backend: FastAPI, Flask, Django, REST APIs • Frontend: React\.js, Node\.js, JavaScript • Databases & Cloud: PostgreSQL, MySQL, MongoDB, AWS, Docker, Git Built projects including an AI\-powered Project Health Agent, SHL Assessment Recommendation Agent and ESG Data Management Platform\. Also contributed to research in AI, IoT, healthcare and assistive technologies\. Open to opportunities: AI Engineer \| Generative AI Engineer \| Applied AI Engineer \| Machine Learning Engineer \| Python Backend Developer\. Interested in connecting with innovators, engineers and teams building impactful AI solutions\.

## Location

Bengaluru

## AI stack

antigravity

claude code

cursor

deepseek

github copilot

kimi

## Work experience

Intern at Samsung R&D Institute India \- Bangalore, Sep 2025 \- Apr 2026 · 8 mos, Bengaluru, Worked as part of a 4\-member team on developing an automated AI evaluation pipeline to identify and assess hallucinations in LLM\-generated outputs\. Implemented Python\-based evaluation workflows and computer vision techniques, leveraging diffusion models and FLUX to support AI output validation\. Optimized image preprocessing workflows, replacing largely manual QA processes and improving evaluation throughput by 20%, enabling approximately 3× more samples to be evaluated per sprint

## Education

Bachelor of Engineering \- BE, Artificial Intelligence, Cambridge Institute of Technology

12th, Kle society raja lakhamagouda science institute Belagavi

## Public links

- github: https://github\.com/manjunath9446

[View the original profile](https://tal.club/meet/manjunath-r-karaguppi)

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