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karan sharma

@karansharma2004

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AI Engineer building GenAI, LLM, and RAG applications with Python, PyTorch, FastAPI, and Hugging Face.

India

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What I'm looking for

I’m looking for an AI/ML role where I can build LLM/RAG and computer-vision systems, evaluate real-world risks, and learn how to ship reliable models to production with a strong engineering team.

I'm an AI Engineer passionate about building intelligent applications using Machine Learning and Generative AI. I'm currently pursuing a B.Tech in Computer Science with a specialization in Artificial Intelligence and Machine Learning and enjoy solving real-world problems through scalable AI solutions.

During my AI internship at TalaKunchi Networks Pvt. Ltd., I worked with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI security research. I analyzed LLM-powered systems, evaluated model behavior, and contributed to research on improving the reliability and security of AI applications.

I have hands-on experience with Python, PyTorch, TensorFlow, Scikit-learn, FastAPI, Hugging Face Transformers, OpenCV, SQL, AWS, and Azure. I'm also experienced with modern AI workflows involving RAG, embeddings, vector databases, and LLM-powered applications.

One of my key projects is GeoSynapse-X, a deep learning system for satellite image damage assessment that uses a custom Siamese CNN with attention mechanisms for disaster analysis. I have also developed machine learning applications such as a weather prediction system and continue building AI-powered tools to strengthen my expertise in Generative AI and production AI systems.

I enjoy learning new technologies, writing clean and maintainable code, and collaborating with distributed teams. I'm currently seeking Remote AI Engineer, Applied AI Engineer, Generative AI Engineer, Machine Learning Engineer, or LLM Engineer opportunities where I can contribute to impactful AI products while continuing to grow as an engineer.

Experience

Work history, roles, and key accomplishments

AI Intern

TalaKunchi Networks Pvt Ltd

Feb 2026 - May 2026 (3 months)

Built foundational understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines, including transformer behavior, context handling, and retrieval integration. Researched LLM vulnerabilities (prompt injection, jailbreaking, data leakage) and collaborated on real-world attack workflows and mitigation strategies.

Large Language Models RAG Transformers Retrieval Integration Prompt Injection Jailbreaking LLM Security