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Manjunath Karaguppi

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

Bengaluru

< 1 year of work experience

Samsung R&D Institute India - Bangalore
Sep 20258 mosApr 2026

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

Manjunath’s AI Stack

antigravity
antigravity
claude code
claude code
cursor
cursor
deepseek
deepseek
github copilot
github copilot
kimi
kimi

Education

Cambridge Institute of Technology

Bachelor of Engineering - BE, Artificial Intelligence

Cambridge Institute of Technology

20224 yrs2026

12th

Kle society raja lakhamagouda science institute Belagavi

20222022

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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

Manjunath Karaguppi - Intern in Bengaluru | Tal