Machine Learning Computer Science

Rithesh Kumar

Santa Cruz, CA *****

Phone: 831-***-****

Mail: ********@****.***

LinkedIn: https://www.linkedin.com/in/rithesh-kumar-91332a156 Areas of Interest

• Artificial Intelligence • Computer Vision • Natural Language Processing

• Reinforcement Learning • Cognitive Psychology

Education

University of California Santa Cruz (UCSC) / Masters in Computer Science and Engineering May 2025, Santa Cruz, CA, United States

National Institute of Technology Karnataka (NITK) / Bachelors in Computer Science May 2020, Surathkal, Karnataka, India

Industrial Experience

Goldman Sachs / Decision Scientist

August 2020 -July 2023, Bangalore, India

• Implemented a few Machine-Learning analytical models for credit decisioning and policy making, including models for consumer risk scoring and delinquency rating.

• Completed a few research projects on consumer market analysis pre and post-COVID scenarios by performing feature extraction and visualization on the varying factors and suggested improvements in a few policies to adapt to the changing environment.

• Worked on implementing credit policies and researching various methods of integrating and optimizing the ML models used in the decisioning process

• Lead a team of developers involved in building the pipeline for the credit decisioning and loan offer processes Sprinklr India / Research Intern (Machine Learning) May 2019 - July 2019, Gurgaon, India

• Built a few Seq2Seq models to build a spam classifier and product review system on the Twitter database in the 2-month internship program under the Machine Learning Research team

• Completed my study on model compression algorithms and proposed a teacher-student model for ML model compression in mobile applications

Open Source Contribution

Sage Organisation - SageMath

May 2019 - July 2019

• Contributed to the graph modules of SageMath, a free, open-source mathematics software, adding a few algorithms for the calculation of the eccentricity, radius, diameter, and maximum matching of graphs Publications

Prostate Cancer Grading using Multistage Deep Neural Networks January 2023, Springer Publications

• In this paper, an Artificial Neural Network (ANN) model optimized with a hybrid of Particle Swarm Optimiser (PSO) and Differential Evolution (DE) is proposed to monitor the behavior of the network and detect any anomaly in it

• The paper was accepted at the 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2021)

Network Anomaly Detection using Artificial Neural Networks Optimised with PSO-DE Hybrid January 2019, Springer Publications

• The paper focuses on using an Artificial Neural Network (ANN) model optimized with a hybrid of Particle Swarm Optimiser (PSO) and Differential Evolution (DE) to monitor the behavior of the network and detect any anomaly in it.

• The paper was accepted at the Sixth International Symposium on Security in Computing and Communications

(SSCC’18)

Projects

NLP2SQL using Semi-Supervised Learning

July 2019

• Semi-supervised learning with MAPO policy gradient was used to query a database using Natural Language by translating it into an SQL query

Differential Privacy in Machine Learning

Aug 2019 - March 2020

• Attempted to explore the aspects of Renyi Differential Privacy, mainly to prove the convexity of Renyi DP under certain constraints and tried to observe the nature of its convexity with the relaxation of a few constraints

• A portion of the research was towards using the Renyi DP in Machine Learning algorithms, where the aim was to try to protect the individual information in the training data without a significant loss in the performance of the model

packcap: The Network Monitoring Tool

Aug 2019 - March 2020

• Developed a Network Packet Capture Tool with a simple CLI, which works similar to the Wireshark packet capture tool to understand the working of Computer Networks

• The research paper on Network Anomaly Detection (mentioned in the above section) was one of the significant outcomes of this project

Skills

• Languages: Python, C, C++, Javascript

• Libraries and Frameworks: Keats, Tensorflow, Spacy, OpenCV Achievements

• Scholar of National Talent Search Examination, a prestigious nationwide scholarship program aimed at identifying and encouraging education across India

• A fellow of Kishore Vaigyanik Protsahan Yojana (KVPY), another distinguished scholarship for students interested in pursuing science as a career

Hobbies

• Writing quotes and short stories - YourQuote page • Baking and Crocheting - Instagram page

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