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mahesh m s gowda

@maheshmsgowda

I build production-style LLM, RAG, and multi-agent AI systems.

India
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What I'm looking for

I'm seeking Generative AI Engineer, AI Engineer, Machine Learning Engineer, or Software Engineer roles where I can design and deploy end-to-end LLM, RAG, and agentic AI systems.

I've shipped 15+ production-style LLM and agentic applications, including multi-agent pipelines, self-correcting RAG systems, MCP integrations, and deployed AI tools with live demos.

I built an AI Tech News Generator that automates AI-news retrieval, LLM summarization, scheduling, and email delivery, validated across 35+ generation cycles. I also designed a LangGraph multi-agent blog-writing system and a Self-RAG document Q&A pipeline with relevance grading, query rewriting, and hallucination detection.

During my Data Science internship at CodTech IT Solutions, I deployed an ANN churn model reaching 86% validation accuracy and delivered solutions in regression, ETL, and optimization. I enjoy turning research-stage Generative AI techniques into practical end-to-end products using Python, LangChain, LangGraph, FastAPI, vector search, and modern deployment tools.

Experience

Work history, roles, and key accomplishments

CS

Data Science Intern

CodTech IT Solutions

Apr 2025 - Jun 2025 (2 months)

Built and deployed a Keras/TensorFlow ANN churn model on a 10,000-customer dataset, reaching 86% validation accuracy via a Streamlit app. Developed a house-price prediction model on a 13,000+ record dataset, engineering features and comparing Linear, Lasso, and Ridge regression; deployed via Flask.

Education

Degrees, certifications, and relevant coursework

M S Ramaiah Institute of Technology logoMT

M S Ramaiah Institute of Technology

Master of Computer Applications, Computer Applications

2023 - 2025

Grade: 8.5 CGPA

Pursued a Master of Computer Applications (MCA) with a focus on machine learning, artificial intelligence, and data mining.

GC

Government First Grade College

Bachelor of Science, Science

2020 - 2023

Grade: 7.8 CGPA

Completed a Bachelor of Science degree with coursework in computer science and related disciplines.

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