My name is Niraj (pronounced knee-rudge) Yagnik. I am passionate about programming and dedicated to leveraging artificial intelligence to tackle some of humanity’s most urgent social challenges. My work lies at the intersection of AI and society, focusing on enhancing the accessibility and interpretability of AI systems. This endeavor aims to empower individuals to improve their daily lives through technology and addresses the ethical and regulatory aspects essential for responsible AI development.
At the University of California, San Diego, my work has centered on applying Language Models to enhance healthcare.I’ve developed methods enabling platforms to deliver critical medical information directly to patients, from diagnosis to treatment options. Currently, I am exploring the confluence of AI and social sciences to demystify AI technologies. My work aims to identify challenges in human-centric testing, foster methodological improvements, and boost explanation quality and stakeholder trust.
Download my resumé.
MS in Computer Science and Engineering, 2024
UC San Diego
B.Tech in Computer and Communication Engineering, 2021
Manipal Institute of Technology, Manipal
Natural Language Processing, Recommendor Systems, Supervised Learning, Data Systems for ML, Ensemble Techniques, Scalable ML
EDA, Data Preparation, Predictive Analysis
Large Language Models, Transformers, Gen AI, Text Processing, Prompt Engineering, Text Classification, Question-Answering
Social Computing, Explainable AI, Software Development, Interviewing, Survey Design, Thematic Analysis
Data Extraction, ETL, SQL, Azure Synapse
Android Studio, C#, HTML
Fall 2022 Courses: Web Mining and Recommender Systems, Principles of Artificial Intelligence, Linear Algebra for Data Science
Winter 2023 Courses: Algorithm Design and Analysis, Data Systems for Machine Learning, Antisocial Computing
Spring 2023 Courses: Statistical Natural Language Processing, Advanced Data-Driven Text Mining
Fall 2023 Courses: Biomedical Natural Language Processing, Software Engineering
Winter 2024 Courses: Personal Genomics
Courses: Data Mining, OS, Data Structures, Algorithm Design, Pattern Recognition, Computer Vision
Skills: Recommender System, Machine Learning, Natural Language Processing, Large Language Models, Teaching, Reasearch
Skills: Human-Computer Interaction, Research ,Artificial Intelligence, Explainable AI, Technical Writing, Interviewing,Thematic Analysis
Skills: SQL, Big Data,Data Analytics,Python, Azure Synapse Analytics, Data Engineering
Skills: SQL, Big Data,Data Analytics,Python, Azure Synapse Analytics, Data Engineering
Skills: Power BI, Data Analytics, Azure Synapse Analytics, Sales Analytics
Skills: Machine Learning, Data Science, Natural Language Processing
October 2023: Invited to give Tech Talk at my alma mater (Manipal Institute of Technology) on the applications of genetic algorithms to optimize artificial intelligence to a class of 100. Received an approval rating of 5/5 .
August 2021: Ranked 3rd in my major constituting of 160 students.
March 2020: Received Certificate of Academic Achievement for standing 1st among 150 students in the Fifth Semester.
September 2020: Research Work was deemed as one of the top 50 submissions at the Sixth International Symposium on ISTA, 2020.
Received Shravan Kumar grant - March 2022: - My Research work on Optimizing Activity Recognition in Video Using Evolutionary Computation was recognised as the best research work by the College department for the academic year.
Big Data Specialization - UCSD
Neural Networks and Deep Learning - DeepLearning.AI
Sequence Models - DeepLearning.AI
Data Science Foundation - Udacity