Tenzin Lhakpa
AI Engineer specializing in Generative AI, LLMs, Multi-modal Learning, AI Agents, and RAG Systems, driving innovative solutions at the intersection of NLP, computer vision, and advanced machine learning.
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AI Engineer specializing in Generative AI, LLMs, Multi-modal Learning, AI Agents, and RAG Systems, driving innovative solutions at the intersection of NLP, computer vision, and advanced machine learning.
A smart RAG based virtual assistant for restaurants built with GPT-4 and advanced conversational AI, RestroBot handles reservations and orders with the efficiency of a machine and the courtesy of your best staff member.
A machine learning model to detect mechanical faults in rotatory machines using the vibration signal generated by a rotatory machine for heavy industries.
An intelligent system that predicts student performance using machine learning algorithms and historical academic data.
A Machine Learning based tool to extract figures and their associated captions from PDF documents. Particularly useful for developing LLMs.
A specialized tool designed to facilitate the collection of large-scale textual data for training and fine-tuning Large Language Models (LLMs).
Submitted to ICLR 2025
An AI Assistant for Endoscopy Applications that leverages advanced machine learning techniques to assist medical professionals in endoscopic procedures. The system provides real-time analysis, anomaly detection, and procedural guidance to enhance diagnostic accuracy and treatment outcomes.
I'm passionate about advancing the field of AI and Machine Learning through meaningful collaboration, with a focus on building practical solutions that solve real-world challenges. Whether you're working on neural architecture design, exploring applications in computer vision, developing ML pipelines, building Retrieval-Augmented Generation (RAG) systems, or implementing Generative AI solutions, I'd love to connect.
My expertise spans from traditional statistical learning to cutting-edge large language models and GenAI applications, with hands-on experience in designing RAG architectures that enhance AI's contextual understanding and reliability. I'm committed to creating AI solutions that deliver tangible impact across industries.