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Gunavathi R Bhat

@gunavathirbhat

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AI Engineer with expertise in machine learning and NLP.

India

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my AI skills to solve complex problems and contribute to impactful projects.

I am an AI Engineer with a Bachelor’s degree in Computer Science and Engineering, graduating with a CGPA of 9.54. My journey in AI began with a passion for machine learning and natural language processing, which I have honed through various projects and internships. Currently, I am enhancing the RAG system into an Agentic RAG pipeline at AIML TechnoSystems, where I focus on improving retrieval precision and agent autonomy.

Throughout my career, I have developed innovative solutions such as an AI-powered customer support chatbot and a real-time ticket escalation predictor, significantly reducing manual intervention and improving operational efficiency. My experience extends to building autonomous AI systems and integrating advanced AI frameworks, which has allowed me to contribute effectively to team projects and deliver impactful results.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

AIML TechnoSystems

Aug 2022 - Present (2 years 11 months)

Currently enhancing the RAG system into an Agentic RAG pipeline using LangChain, with multi-vector store support and dynamic agent workflows for document comparison, Q&A, and summarization. Built a Retrieval-Augmented Generation (RAG) system to extract and embed unstructured content from various file types into vector stores, enabling accurate semantic search across multimodal enterprise documents

Lang Chain LangGraph AutoGen Machine Learning NLP RAG RAG Pipeline Vector Stores

AI Intern

NeonAI

Mar 2025 - Present (4 months)

Built an autonomous AI-powered Test Generator using clustering algorithms and LLMs to generate personalized MCQ tests, enabling adaptive learning experiences for students. Contributed to a Course Creation Agent by integrating LangChain with FastAPI, generating modular course content and YouTube references; also assisted in deploying the service on AWS.

Clustering LLMs)Lang Chain fastAPI AWS Document Comparison Vector Search

Software Engineer Intern

Tech Fortune Technologies

Sep 2021 - Present (3 years 10 months)

Developed a sequential neural network using LSTM for sentiment analysis of movie reviews, achieving an accuracy of 88.30%. This project focused on leveraging deep learning techniques to understand and classify emotional tones in textual data.

Python Machine Learning Deep Learning

Education

Degrees, certifications, and relevant coursework

B M S Institute Of Technology and Mgmt

Bachelor of Computer Science and Engineering, Computer Science and Engineering

Grade: 9.54/10

Completed a Bachelor of Computer Science and Engineering with a strong academic record, achieving a CGPA of 9.54/10. Gained comprehensive knowledge in computer science principles and engineering applications.