Srishti Ahlawat is a Computer Science graduate with a BTech specializing in AIML. She has professional experience as a Software Development Engineer Intern at Amazon, working on full-stack changes using Java and React JS. Her research background includes developing machine learning models for cancer prediction and time series analysis at institutions like McGill and Monash. She is proficient in Python, JavaScript, and various ML tools.
Experience
MITACS GLOBALINK RESEARCH INTERN
McGill University
Used classification and regression to develop a machine learning model to predict whether a head-neck cancer patient would require a replanning or not and if they do require replanning then when should the be replanned.
SOFTWARE DEVELOPMENT ENGINEER INTERN
Amazon
Worked on a few front-end as well as back-end changes on Alexa Skills Developer website. The tech stacks I worked on were Java, React JS, HTML, CSS and Javascript.
PROJECT INTERN
University Of Queensland
Worked on Elpis, which is a speech recognition system being developed to speed up the process by giving the language worker a first-pass hypothesis transcription. My work involved developing the Elpis interface to work in an Indian language too.
MACHINE LEARNING RESEARCH INTERN
Monash University
Developed software to apply the Fourier Transform to time series, and used both the imaginary output and the transformation of the output into phase+amplitude as inputs to other classifiers like nearest neighbour, random forests and logistic regression classifiers.
Education
SRM UNIVERSITY
BTech
Computer Science with AIML