Software Engineer

• Jul 2023 - Present

Graduate Teaching Assistant

• Mar 2023 - Jun 2023

TA for CSE 256 - Statistical Natural Language Processing under Prof. Ndapa Nakashole

Graduate Teaching Assistant

• Jan 2023 - Mar 2023

TA for COGS 108 - Data Science in Practice under Prof Charles Simpkins

Graduate Teaching Assistant

• Sep 2022 - Dec 2022

TA for CSE 158 - Recommender Systems and Web Mining under Prof Julian McAuley

Data Integration Intern

• Jun 2022 - Sep 2022

- Developed a REST API which converts SQL to graph queries, eliminating the need to learn a new language. - Prototyped a Java driver for BI tools to view graph databases as relational tables, interfacing with the above API. - Explored the use of Apache Hop as a data integration tool for building end-to-end ETL pipelines. - Developed a REST API which converts SQL to graph queries, eliminating the need to learn a new language. - Prototyped a Java driver for BI tools to view graph databases as relational tables, interfacing with the above API. - Explored the use of Apache Hop as a data integration tool for building end-to-end ETL pipelines.

Graduate Teaching Assistant

• Mar 2022 - Jun 2022

TA for CSE 156 - Statistical Natural Language Processing under Prof. Ndapa Nakashole TA for CSE 156 - Statistical Natural Language Processing under Prof. Ndapa Nakashole

Junior Data Scientist

• Nov 2020 - May 2021

- Setup an ETL process in Python to fetch data from Twitter, Play Store and Instagram and store it in S3 buckets. - Setup system scripts for a dynamic refresh feature to fetch new data, solving the problem of stale insights. - Introduced a novel function for users to create “custom topics” to be detected in the review data. - Added functionality to view trends in Javascript charts based on selected time frames through grouping of data. - Created 30+ APIs in Python for data communication as well as visualization of time-series trends. - Automated data storage and writes to DynamoDB instead of Postgres, reducing response time to load data. - Authored multiple documentation pages for internal reference as well as knowledge transfer to external clients. Show less

Machine Learning Engineer

• Jul 2020 - Sep 2020

- Engineered an autonomous topic generator for tagging audio podcasts in Python, delivered through API endpoints. - Setup Postgres and Flask microservices architecture with an HTML and Javascript frontend to visualize analytics. - Generated listener engagement charts for three different podcasts to identify strengths and weaknesses for customers. - Engineered an autonomous topic generator for tagging audio podcasts in Python, delivered through API endpoints. - Setup Postgres and Flask microservices architecture with an HTML and Javascript frontend to visualize analytics. - Generated listener engagement charts for three different podcasts to identify strengths and weaknesses for customers.

Project Mentor

• Jun 2019 - Jul 2020

Mentored a team of 12 juniors to build a store inventory management system, to be outsourced to small businesses in order to maintain a digital account of the store inventory.

Backend Development Mentor

• Jun 2018 - May 2019

Back End Developer

• Oct 2017 - May 2018

Worked in a team to create a book exchange portal for the Computer Engineering department in the college. Seniors could put up listings for books they had but no longer required and these could be then passed on to juniors.

Machine Learning Intern

• Jun 2018 - Aug 2018

Implemented an “Anomalous Login Detection System”, to detect and flag suspicious user login attempts based on past user activity logs using clustering techniques and outlier detection to protect companies from attacks and theft. Implemented an “Anomalous Login Detection System”, to detect and flag suspicious user login attempts based on past user activity logs using clustering techniques and outlier detection to protect companies from attacks and theft.