Open to opportunities

Ayush Gaur

@ayushgaur

Message

Aspiring machine learning engineer with a focus on innovative solutions.

United States

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my machine learning skills to impactful projects while continuing to learn and grow in a supportive environment.

I am a dedicated machine learning engineer currently pursuing my Master's degree at North Carolina State University, where I focus on machine learning and artificial intelligence. My academic journey has equipped me with a solid foundation in neural networks, computer vision, and data processing, complemented by hands-on experience in developing advanced machine learning systems.

As a Machine Learning Intern, I successfully developed a RAG system utilizing GPT-4 and LangChain, significantly enhancing the Graduate Office's ability to respond to student queries. My projects, including an end-to-end MLOps pipeline for phishing detection and a mini GPT language model, showcase my ability to implement complex algorithms and optimize performance through rigorous testing and deployment strategies. I am passionate about leveraging technology to solve real-world problems and continuously seek opportunities to grow and innovate in the field of machine learning.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Intern

Current

North Carolina State University

Jul 2024 - Present (10 months)

Developed a RAG system using GPT-4 and LangChain, significantly improving response relevance for student queries. Prepared data preprocessing scripts and implemented semantic search functionality, optimizing document retrieval with high precision. Deployed the system on a FastAPI-based internal portal, containerized with Docker and hosted on AWS EC2, reducing staff query response time.

Lang Chain Python RAG Search NLP LLM fastAPI Docker AWS EC2 Semantic Search

Education

Degrees, certifications, and relevant coursework

North Carolina State University

Master of Science, Machine Learning

Grade: 3.23/4.0

Activities and societies: Coursework: Neural Networks, Pattern Recognition, Computer Vision, Digital Imaging Systems, Random Processes, Detection and Estimation Theory, Computer Networks

Pursued a Master of Science with a specialization in Machine Learning. Coursework included Neural Networks, Pattern Recognition, Computer Vision, Digital Imaging Systems, Random Processes, Detection and Estimation Theory, and Computer Networks.