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Ramanagiri UserRU
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Ramanagiri User

@ramanagiri

Generative AI developer building scalable LLM-driven solutions.

India
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What I'm looking for

I seek a role building production LLM/RAG systems at scale, with collaborative teams, opportunities to lead AI architecture, and a focus on cost-effective, measurable impact.

I am a Generative AI developer specializing in architecting scalable LLM and RAG solutions for network operations and automation. I design multi-agent systems and AI-driven monitoring platforms that reduce detection and resolution times while cutting operational and licensing costs.

I delivered an AI-powered Network Performance Monitoring Tool that reduced MTTD by 40% and a KPI suggestion engine that lowered manual effort by 40% and configuration time by 35%. I also led demos to 20+ stakeholders and drove product adoption through clear technical storytelling.

I build with Python, React.js, LangChain, CrewAI and cloud platforms (GCP/AWS), integrate open-source LLMs (LLaMA, Mistral) and prioritize cost-effective, production-ready AI solutions that support human-in-the-loop workflows and autonomous automation.

Experience

Work history, roles, and key accomplishments

TS
Current

Multi-Agent AI Engineer

Aug 2024 - Present (1 year 10 months)

Designed an open-source multi-AI agent platform using CrewAI and Ollama to replace proprietary tooling, cutting operational costs by 45% and resolution time by 30% while integrating LLaMA 3.1 and Mistral 7B for licensing savings.

VE

Full Stack Developer Intern

Verzeo

Oct 2022 - Jan 2023 (3 months)

Developed and deployed a full-stack e-commerce web app (React.js, Node.js, MongoDB) that reduced page load time by 25% and delivered all features on schedule during a 3-month Agile engagement.

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

Bachelor of Technology, Computer Science & Engineering

2020 - 2024

Grade: 8.29 / 10

Completed a Bachelor of Technology in Computer Science & Engineering with a CGPA of 8.29/10, graduating with First Class with Distinction in May 2024.

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