Girish Kumar Email & Phone Number

Santa Clara, Ca, Us

San Francisco Bay Area

Seattle, Washington, United States

- Designed a novel architecture for clustering short text documents using Large Language Models (LLMs).- Built a prototype clustering application in Python using pretrained GPT-3.5 and GPT-4 LLMs.- Researched various prompt engineering approaches to maximize accuracy and reduce hallucination.

Seattle, Washington, United States

- Research towards differentially private (DP) multi-document summarization models for user feedback cluster summarization using large language models such as BART and T5.- Contributed to the opensource library microsoft/dp-transformers to make T5 model training compatible with Opacus, by implementing sample level gradients in PyTorch for non-standard hugging face library model layers- Introduced a novel application and analysis of differential privacy for a multi-document task

Seattle, Washington, United States

Collaborated with MS Research and NLP experts in research towards using differential privacy (DP) and synthetic data generation for overcoming privacy concerns for customer feedback text data- Generated high utility and privacy-preserving labeled synthetic data using transformer-based GPT2 model- Designed a novel approach in PySpark for empirical estimation of true training data leakage by releasing synthetic text data- Trained DP privacy-preserving BERT models with production level accuracy for the task of feedback’s topic classification- Explored the use of DP n-gram extraction method for privacy-preserving text data release

Synthetic Data Generation with Privacy Protection- Research towards a generic solution with theoretical guarantees for utility and privacy of synthetic data generation for tabular, image, and multimodal data- Developing new architectures leveraging existing deep learning networks together with adversarial networks and autoencoders to synthesize data (Python, PyTorch, pandas, scikit-learn)

Davis, California, United States

Mathematics of Data Science - Spring 2022Probability - Winter 2021Calculus A - Fall 2020Multi-variable Calculus - Spring 2020Applied Linear Algebra - Winter 2020Multi-variable Calculus - Fall 2019

Davis, California, United States

Bengaluru Area, India

Ticketing System for User support:- Designed and implemented an intelligent ‘Ticketing System’ with Knowledge Base and self-service functionalities- Developed end-to-end application from UI to backend – Angular based JavaScript web application, Camuda based workflow to manage lifecycle of a ticket, Java based RESTful API architecture- Mentored 2 summer interns to develop a microservice – historic data maintenance in elastic search, metrics collection via Kafka, data visualization – enabling operation managers to analyze the tickets and monitor the performance of support teams- Led the onboarding efforts resulting in onboarding of 12 teams with 56 applications by collaborating with stakeholders

Bangalore

Kiosk application for Secured access to Sensitive Production Environment:- Eliminated 73% of direct production access by developing an intermediate application to run secured shell scripts- Developed a key functionality to enable end-users to raise multiple consecutive shell executions in one request, increasing the platform use by about 500%- Worked with UX team to revamp the app to enhance customer satisfaction and implement highly demanded missing functionalities. Also included an upgrade of front-end from AngularJS to Angular 6- Became a Subject Matter Expert for technical and business aspects of the applicationAutomated Data Migration Tool from Legacy to Kiosk Application:- Worked in collaboration with Tech-Risk and Production access control team on a time and risk-sensitive automated tool (built with Java, Angular, Camuda) to migrate all firmwide operation support shell scripts from legacy to new Kiosk application- Conducted multiple regional and application specific trainings smoothing the onboarding of about 3000 support team members

Hyderabad Area, India

Proposed and implemented in Java, a model for streaming videos to users in remote villages, with low internet connectivity and low memory end user devices.

Doctor Of Philosophy - Phd, Applied Mathematics, 3.9/4.0

Privacy-protected multi-modal synthetic data generation Ph.D. advisor Prof Thomas Strohmer Courses: Deep Learning, Probability Theory.

Master Of Technology - Mtech, Mathematics And Computer Science, 8.75/10.0