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Vijendra Mane

@vijendramane

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AI/ML practitioner specializing in agentic AI, vision models, and production-ready end-to-end systems.

India

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What I'm looking for

I seek a role building production-grade AI systems where I can deploy agentic and vision models, own end-to-end pipelines, and measure real-world impact.

I am an AI/ML practitioner with hands-on experience building agentic AI systems, vision models, and retrieval-augmented generation (RAG) pipelines for real-world use.

I've developed production-capable services and deployments using Flask and FastAPI, and built automation systems that integrate LLMs with databases for enterprise workflows.

My projects include an AI agent testing platform with full-stack integration and an IEEE-published evaluation methodology, and a YOLOv8-based detection system achieving 90%+ accuracy on field tests.

I focus on reliable end-to-end solutions, measurable evaluation, and practical deployment to reduce manual effort and accelerate decision-making in applied domains like e-commerce and agriculture.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Intern

Current

100BillionTech

Oct 2025 - Present (8 months)

Developed a RAG-based AI chatbot with real-time DB connectivity and secure text-to-SQL querying, and built an LLM-driven product-entry automation system using Node.js and MySQL for e-commerce integration.

RAG Node MySQL Flask fastAPI LLM

AI Systems Engineer

Personal Projects

Built Cerebra, an agentic AI testing platform with LangChain, FastAPI, React, and Docker and published an IEEE paper; developed Detectron using YOLOv8/CNNs and Flask achieving 90%+ detection accuracy for insect and plant disease identification.