Yoosha Mirza

Gen AI Engineer

Neurabit Solutions • Temps plein

Oct 2025 - Present • 7 mos

I have worked on multiple projects in the field of Artificial Intelligence and Machine Learning, covering computer vision, large language models, and AI-driven automation. • Developed a computer vision system for real-time wound analysis, capable of extracting accurate measurements from images. • Built a RAG-based LLM chatbot, integrated into a website, and deployed on a cloud MCP server to enable intelligent, context-aware interactions. • Created a fully functional AI voice calling agent capable of handling tasks such as booking, collecting feedback, and retrieving real-time information including weather, location, and other dynamic data. • Designed and implemented the complete full-stack architecture, including both frontend and backend development, along with deployment. • Worked extensively with LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) systems. • Built core Machine Learning projects and explored various AI-driven solutions across multiple domains.

LLM Trainer

SarvM.AI

Dec 2024 - Aug 2025 • 8 mos

I worked on training Large Language Models (LLMs) for Indian languages, focusing on improving language understanding, contextual accuracy, and multilingual performance.

Machine Leaning

iit indore

Aug 2023 - May 2024 • 9 mos

My work focuses on building practical AI and Machine Learning solutions across computer vision, large language models, and intelligent automation. • Developed a real-time computer vision system for wound analysis, enabling precise measurement extraction from images. • Designed and deployed a RAG-based LLM application, integrated into a web platform and hosted on cloud infrastructure. • Built an AI voice interaction agent capable of handling bookings, collecting feedback, and retrieving live information such as weather and location data. • Managed the complete full-stack development lifecycle, including frontend, backend, and deployment. • Leveraged technologies including LangChain, LangGraph, and advanced LLM orchestration techniques while working on core Machine Learning projects.