Tanay Komarlu

MSCS Graduate from the University of Illinois Urbana Champaign

Biography

Hello! I’m Tanay, a Master’s Graduate from the Data Mining Group @ UIUC (2021-2023) advised by Professor Jiawei Han. I enjoy creating software that lives on the internet, whether that be websites, applications, or anything in between. My work focuses on Machine Learning Engineering, Natural Language Understanding and Biomedical Text Mining.

Interests

Text Mining
Natural Language Processing
Large Language Models

Education

MS in Computer Science, 2023

University of Illinois Urbana Champaign
BS in Computer Science, 2021

University of California Santa Barbara

Experience

Software Engineering Intern

Google

May 2022 – Aug 2022 California

Enabled a Web-based IDE integration test stack to handle non-deterministic user data in RPC calls
Engineered an automated integration test suite to preemptively identify regressions in Web-based IDE File Explorer User Interface
Designed and implemented a hermetic integration testing solution with the use of application-level load balancer and API proxy SUTs for Google extension developers to test extensions that leverage gRPC Web connections

Machine Learning Intern

Roche

Jun 2021 – Aug 2021 California

Developed a relationship extraction model using distant supervision to identify chemical and disease relationships in NCBI Open Access documents
Engineered a normalization pipeline for NCBI documents in Java and Python. Researched and implemented tokenization and approximate nearest neighbor algorithms

Undergraduate Research Assistant

University of California Santa Barbara

Jan 2021 – Jun 2021 California

Created an algorithm to process subtitled videos and outputs a video containing only human dialogue. The algorithm performs speaker segmentation and leverages Tessaract with OpenCV to return frame captures of the text mapped to timestamps

Undergraduate Learning Assistant

University of California Santa Barbara

Oct 2020 – Dec 2021 California

Groomed and managed three epics for React and Spring Boot web applications based on user testing and feedback
Mentored and performed code reviews for three teams of students in CMPSC 156, a web application development course teaching legacy code development using Java, Javascript, Spring Boot, React, Git / GitHub, Agile workflows, and CI/CD testing

Machine Learning Intern

Nggwae Nirman Healthcare Technologies

Jun 2020 – Sep 2020 California

Developed a machine learning model as measured by a precision of 98% to predict NPS of future customers for a B2B logistics firm and improved productivity by 10%
Engineered a Patient No-Show predictive model as measured by a precision of 95% using Scikit-Learn and Pandas libraries in Python for use in Pediatric Clinics

Projects

TelaHance

Built using React, Node.JS, AWS, DynamoDB, Javascript and Python.

Computer Science capstone project worked on with the support of Teladoc Health. Lead a team and won second place in UCSB’s senior capstone competition for computer science students for the creation and presentation of TelaHance.

Learne

Created using Ionic, Vue, GCP, PyTorch, Flask, Firebase, Docker, Javascript and Python

Developed a mobile responsive web application with Ionic to streamline a student’s learning process by generating summaries of lecture videos for hard of hearing and attention deficit students. Built a Flask backend that facilitated CRUD operations on student lectures and courses as well as processed and summarized videos through a dockerized BERT microservice. Won first in Google Cloud category at SBhacks 2021.

Clarapulse

Created using Flutter, GCP, Flask, Firebase, CockroachDB, Docker, Dart, and Python

Developed a cross platform mobile application with Flutter to facilitate communication between prospective high school students and current undergraduates. High school seniors and Undergraduates are able to connect on Clarapulse and communicate via a video webRTC chatting room powered by Twilio in order to facilitate discussions regarding college culture and career goals. Won first out of 78 teams in Startup Category at SDhacks 2021.