RITU
PRAVAKAR
**************@*****.***
Los Angeles, CA 90007
ritupravakar (github.com)
SKILLS
• Programming: C, C++, Python
• Databases: Oracle, MongoDB
• Git, Jenkins
• Machine Learning, Data Science
EDUCATION
University of Southern California
Los Angeles, CA • Expected in 06/2024
Master of Science Computer Science
Ramaiah Institute of Technology
Bangalore • 07/2020
Bachelor of Engineering Computer
Science
• CGPA 9.74/10, Ranked 2 in class
• Silver Medal Recipient (2020)
• Defense Scholarship, Department of
Technical Education, Government of
Karnataka (2016 - 2020)
• Subroto Memorial Scholarship Indian
Air Force (2016 - 2020)
After working on fault-tolerant algorithms and publishing in reputed journals in IEEE and Springer, Singapore, learnt the importance of efficient data processing on large-scale computing systems. Further working with JP Morgan Chase, gained real-time experience in computing risk over millions of trades and realized that large-scale data processing is what excites me. Aim to help design efficient distributed systems that can process the ever-growing scale of information over the network and produce meaningful insights. WORK HISTORY
JPMorgan Chase & Co - Software Engineer II
01/2022 - 07/2022
• Developed calculators for scaling collateral and marked to market values of trades for OTC (Over the counter trades) and F&O
(Future and options) trades as part of implementation of ICAAP
(International Capital Adequacy Assessment Process) for EU/UK in capital adequacy
• Developed orchestrating platform for calculators for ICAAP process for OTC derivates for UK
JPMorgan Chase & Co. - Software Engineer I
08/2020 - 01/2022
• Developed multiple features implementing regulatory requirements in standardized approach for counterparty credit risk calculators, calculating exposure at default for derivative products
• Developed calculators for initial margin evaluation in ICAAP in SACCR flow
JPMorgan Chase & Co - Intern
01/2020 - 07/2020
• Developed orchestrating platform for calculators of non-cleared derivatives to calculate initial margin, process sensitivities and load trades for products such as SFT, F&O, and OTC into margin's computing server system as part of SIMM methodology developed by BASEL Committee
• Automated archival functionality to archive in Neptune, graph- based storage service offered by AWS and SIMM result file transfers across different servers using Secure Copy Protocol, using Secure Shell (SSH)
CERTIFICATIONS
• Neural Networks and Deep Learning,
DeepLearning.AI, Coursera
• Structuring Machine Learning Projects,
DeepLearning.AI, Coursera
• Applied AI with DeepLearning, IBM,
Coursera
• Fundamentals of Scalable Data
Science, IBM, Coursera
• Cloud Computing Applications, Part 1:
Cloud Systems and Infrastructure,
UIUC, Coursera
• Cloud Computing Applications, Part 2:
Big Data and Applications in the Cloud,
UIUC, Coursera
VOLUNTEERING
• May 2021 Contributed to the world's
largest environmental award by
searching for top environmental
saving activities and products, Energy
Globe Foundation, United Nations
• June 2021 Research proposal for the
psychological impact of COVID19 on
youth, Cameroon Association of
Active Youths (CAMAAY), United
Nations
ACCOMPLISHMENTS
• School Rank 1, Kendriya Vidyalaya No. 2 Jalahalli East (2016)
• Merit Certificate for being in top 1.5% of Kendriya Vidyalaya Sangathan (2016)
• Subroto Memorial Scholarship Indian Air Force (2014 - 2016)
• Country rank of 1 in Mathematics and the overall country rank of 1995, National Level Science Talent Search Examination (NSTSE)
(2014)
• International rank of 2161, International Mathematics Olympiad, Science Olympiad Foundation (2014)
• National rank of 723, National Science Olympiad, Science Olympiad Foundation (2014)
PUBLICATIONS
• Geetha, J., Jayalakshmi, D. S., Pravakar, R., Naik, P. D., & Reddy, S. S. (2020, July). Optimal Scheduling Algorithm for Distributed Streaming of Data Flow across Edge Devices and Cloud. In 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (pp. 1-5). IEEE.
• Shidaganti, G., Pravakar, R., Shirisha, M., & Samyuktha, H. R.
(2021). A Case Study on Distributed Consensus Problem on Cloud- Based Systems. In Evolutionary Computing and Mobile Sustainable Networks (pp. 627-636). Springer, Singapore.
• Naik, P. D., Pravakar, R., Reddy, S. S., & Parkavi, A. Compilation Techniques to Improve Efficiency in Communication.
• A Study of Data Storage, Data Retrieval And Streaming Architectures Across Various Platforms (Accepted as Book Chapter for Hybridization of Blockchain and Cloud Computing: Overcoming Security Issues in IoT, CRC Press, Taylor & Francis Group, Apple Academic Press)
PROJECTS
• Data Security Using DNA Cryptography, developed a Symmetric Key Cipher Algorithm using DNA Cryptography
• Online Learning Portal, project uses MEAN stack development for the collection, storage, and analysis of trends in an institutional online learning portal
• Multipath-based Opportunistic Routing Scheme for Wireless Sensor Network, developed a C++ code for transmission mechanism to improve end to end transmission reliability using bifurcation for large scale wireless networks
.