Utkarsh Jyani
@utkarshjyani
NLP Engineering intern at ConcertAI
Greater Noida, India
Utkarsh Jyani is a Computer Science Engineering student at Bennett University specializing in Artificial Intelligence. He has gained professional experience as an NLP Engineering Intern at ConcertAI and a Front End Development Intern at DigiMoksha Solutions. Utkarsh is skilled in Python, React, and various machine learning frameworks, with a strong record of academic excellence and project innovation.
Experience
NLP Engineering intern
ConcertAI
Worked on LLM compression - performed Quantization & distillation on BERT achieving an overall compression of 70% for both techniques. Working on Medical NER Model for detection Section headers. Skills: Python, PyTorch, Transformers, Johnsnowlabs, PySpark.
Front End design and development intern
DigiMoksha Solutions
Creating Useful product designs. Implementation of Designs provided by the UI/UX team. Skills: HTML, JavaScript, React.JS, React.Native.
Education
Bennett University (Times of India Group)
Bachelor of Technology
Computer Science Engineering
Specialisation: Artificial Intelligence. Courses: Data Structures, Analysis Of Algorithms, Operating Systems, Computer Networks, Database Management Systems, Statistical Machine Learning, Artificial Intelligence & Machine Learning, Intelligent Model Design using AI, Deep Learning, Natural Language Processing.
Licenses & Certifications
Google Data Analytics Professional Certificate
The Full Stack Web Development Bootcamp 2023 - MERN STACK
Google UX Design Professional Certificate
Natural Language Processing with Probabilistic Models
Natural Language Processing with Classification and Vector Spaces
Fundamentals of Deep Learning
Natural Language Processing with Attention Models
Neural Networks and Deep Learning
Structuring Machine Learning Projects
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Fundamentals of Accelerated Computing with CUDA Python
Docker for absolute beginners
Manage container images using AWS
AWS