ABOUT ME
Hello and welcome to my website! My name is Rishab Kashyap and I am a Masters of Science in Computer Science student at Arizona State University. I work as a student researcher at MPS Lab in the field of Machine Learning Accelerators and Optimizations under the guidance of Dr Aviral Shrivastava. I am currently looking for job opportunities in the field of Machine Learning, Data Science, Software Engineering, Robotics and Big Data Systems.
MY SKILLSET
Programming Languages -
Machine Learning Libraries -
Tools, Concepts, OS -
EXPERIENCE
Graduate Student Researcher at the MPS-Lab under Dr. Aviral Shrivastava
- Research on Optimal Parallel Training startegies as my thesis work under the guidance of Dr Aviral Shrivastava
- Quantum Computing on NISQ devices, assisting Vinayak Sharma on his thesis
- Participation in various challenges from TinyML competition to Waymo Dataset Challenge
- Machine Learning Accelerator paper reviews and research work
Graduate Student Assistant for the CSE 420 and CSE 520 Computer Architecture Courtses
- Performed under the guidance of Dr Aviral Shrivastava and Dr Hokeun Kim
- Responsible for Grading student assignments and exams for the courses
- Responsible for setting up exams and assignments for students
- Creation of cource content and practice problems
- Taking lectures for specific topics and revision classes for students
Academic Associate for the BIO194 SOLUR Prep Course
- Performed under the guidance of Dr Susan Holechek
- Responsible for content and assignment creation for the students
- Delivering lectures based on Data Science and R programming on Bio Data
- Assistance with Assignment correction and Final project presentations
Student Researcher at the Holechek Lab
Arizona State University
January 2024 - December 2024
https://www.asu.edu/
Student Researcher under Dr Holechek to perform Data Analysis on sensitive health data
- Performed under the guidance of Dr Holechek and support from the All of Us foundation.
- Aim: To identify the ill effects of obesity among the Hispanic community.
- Performed Data Analysis on data provided by the All of Us foundation, funded by the NIH.
Research Intern
Indian Urban Data Exchange (IUDX), Bengaluru
October 2021 - July 2022
https://iudx.org.in/
Research Intern for Secure Multiparty Machine learning Computation
- Startup located at Indian Institute of Science (IISc), Bengaluru, India.
- 10 month research internship under the guidance of Dr Abhay Sharma and Dr Anshoo Tandon
- Responsible for performing research on multi-party encrytion that allows multiple users to collaborate ona single project with their own sensitive data while ensuring data privacy.
- Codebase is written in C++ using standard libraries and boost libraries to implement complex techniques.
- Utilizes the concepts of Machine Learning, Secure Multi-Party Computing, and Homomorphic Encryption schemes.
- The role included system development, risk evaluation, testing, concept evaluation, and implementation.
- Extensive In-depth research into papers for conceptual clarity and possible improvements on existing systems.
MY PROJECTS
ADAPT - Automated Parallel Training for ML workloads on Heterogeneous Systems
- Implementation of an efficient and optimized parallel training strategy
- Utilizes Data, Model and Pipeline Parallel training formats. Tensor Parallel training is experimental.
- Automated training code that identifies optimal strategies by evaluating cost functions.
- Github link will be available soon
Classification of Malicious URLs using an Ensemble Machine Learning Strategies
- 7 Different Machine Learning models used together to classify whether a given URL is malicious or benign
- Each of the first 6 ML models classify different attributes - Symbol frequency, DOM structure, content, etc.
- An ensemble Decision tree is used as the final model to make decisions based on the outputs of the first 6 models.
- Published at the IEEE-CSDE'21 conference ( As seen in Publications section )
Movie Success Prediction using various Machine Learning Techniques
- ML model comparison to correctly classify and predict the success of a given movie.
- Intense Exploratory Data Analysis performed to identify feature importances, usability, quality and correlation
- Different ML models used different subsets of data derived from a common source to make a common prediction <>
- Publications at the MLDS'21 conference and IJAIA'21 journal as shown in the Publications section
Classification of Habitable Exoplanets using Machine Learning Methods
- Utilize different Machine Learning models to classify whether an exoplanet is habitable or not
- Features are extraccted from the NASA Kepler dataset of exoplanets discovered till date
- Different models are evaluated on their performances to find the best possible model to use for classification
EDUCATION
Arizona State University
Masters of Science in Computer Science
2022 - Present
"!!! Go Devils !!!"
- Located in Tempe, Arizona, USA
- Pursuing a Thesis as a part of my Masters Degree. Current Aggregate GPA : 3.46
- Worked on multiple projects and research opportunities as a part of the MPS-Lab
- Relevant Coursework: Combinatorial Algorithms, Privacy in Machine Learning, Statstical Machine Learning, Artificial Intelligence, Knowledge Representation and Reasoning, Advanced Operating Systems, Quantum Computing, Computer Architecture
PES University
Bachelors of Science in Computer Science
2018 - 2022
"Perseverence, Excellence, Service"
- Located on Hosur Road, Bengaluru, India
- Completed my degree with an aggregate GPA of 8.12
- Start of my research path - participated in numerous ideathons and hackathons
- Part of the ACM student Chapter to host hackathons and inter-college competitions
- Member of the PESU South Basketball team
- Three publications under the guidance of Dr R Bharathi and Professor Ananthanagu U
Deeksha Center for Learning
High School
2016 - 2018
"Work Hard, But Work Smart"
- Located on Kanakapura Road, Bengaluru, India
- Completed my 11th and 12th here, with rigorous training integrated with ACE. Overall Percentage of 96 %
- Part of the Basketball team, and IIT training batch. Tough days 😅
The Brigade School
Primary Schooling
2006 - 2016
"O nanna chetana, aaguni aniketana" "O my spirit, transcend all boundaries"
- Located at J.P Nagar 8th Phase, Puttenahalli, Bengaluru, India
- Part of this school from 1st grade to 10th grade, with a 10th GPA of 9.2
- Participated in numerous olympiads, school fests, theatre plays and science fairs
- Played in the intra-school sports and cultural competitions - Basketball, Volleyball, Football, Athletics, MUN, Theater, Music