Full Stack Engineer on the Advertiser Revenue Growth team which aims to experiment with methods to improve the advertising experience of over 4 million business accounts on Pinterest in order to grow revenue.• Delivered projected $8.5M incremental revenue by consolidating 4 separate Airflow workflows that select and route high-quality business accounts to Sales into one pipeline• Generated potential $3M incremental annual revenue by expanding the utility of an Airflow workflow to resurrect and route high-quality inactive business accounts to the Sales team• Implemented 3 A/B testing experiments to assess the adoption rate(s) by SMB businesses of severalrecommendation banners within the Campaign Create Flow Page on Ads Manager

Software Development Engineer Intern for Amazon Health and Wellness organization* Developed a feature in React on team's admin website which adds a new data field for execution result data of a top secret bioinformatics pipeline* Implemented an automation pipeline that populates a Dynamo DB table when csv files of 300+ rows are uploaded to S3 via AWS Eventbridge and AWS Batch* Architected a backend AWS Lambda endpoint in Kotlin to support querying the new data field value from Dynamo DB on the admin website

• Explain algorithmic ideas/paradigms such as Dynamic Programming, Graph Algorithms, Divide and Conquer and P/NP Theory to class size of 500+ students• Host office hours for 2 hrs/week that serve as a way to review the material covered each week• Moderate online Microsoft Teams chat for each lecture and clarify student doubts for 3 hrs/week

• Fall 2021 Semester: Piazza Subteam Lead• Organize Piazza forum and answer student questions about the course

• Undergraduate Teaching Assistant for CS 2340: Objects and Design (Spring 2021 semester)• Explain concepts in Object Oriented Analysis, Object Oriented Design, Iterative Development, Agile methodology, SOLID/GRASP principles to 500+ students• Review course material for consistency with the expected course objectives and grade exams

• Objective of Automated Algorithm Design is to use genetic programming and ML techniques to create an automated method that develops hybrid algorithms (EMADE framework)• I worked under the NLP Subteam in Spring 2021 to apply EMADE to sentiment analysis with the Amazon Review Dataset from Kaggle• Fall 2021, Spring 2022: Continuing involvement with NLP Subteam, but working on trying to build an NLP-based Question-Answering system using EMADE. I've implemented BiDAF architecture into EMADE to help the team make significant progress and developed a Keras model into EMADE that outputs both the start and end indices of where the answer to a question/query lies within the context.

Led a team of 10-15 Content Creators to designing a 10-12 week virtual bootcamp for Data Science. Our bootcamp is project based and participants are able to apply what they learn from our workshops to a problem/project idea of their choice. In my opinion, the best way to learn something is to practice doing the skill at hand and solving problems that interest you. Our bootcamp has been running for the past three semesters and there are 70+ participants in our virtual bootcamp. Skills Taught: Python, Google Colaboratory/Jupyter Notebooks, Iterative Development, GitHubLed development of a website built in React.js to store bootcamp content (dsgtbootcamp.netflify.app) and launched a Udemy course version of our bootcamp in Spring 2022 semester. We currently are working with Deepnote in order to scale up the bootcamp!

Develop data science content for an 11-week virtual data science bootcamp that will be released in Fall 2020 for incoming freshmen. Content was developed through Google Colaboratory and code was done in PythonContent I developed notebooks about: "Dimensionality Reduction", "Decision Trees and Random Forest", "Introduction to Databases"Act as a mentor for the incoming bootcamp participants and help build a strong community

I'm part of a project group within DSGT called "Stormalytics". The objective is to develop a web application to efficiently and accurately predict hurricane movement through machine learning.My current role in this project is to analyze a dataset called CYGNSS and integrate that dataset with HURDAT to strengthen the model.

Devices Organization (Health and Wellness Department)

Private tutor for high school students for ACT prep, Math, and Science

• Studied membrane potentials using voltage-sensitive dyes in block co-polymers • Analyzed data using regression in Origin software and ran UV and Fluorescence on block co-polymer solutions• Presented results of findings at ANACHEM Symposium at Livonia, MI in 2018• Studied effects of concentration and temperature on optical properties of block copolymers using various dyes• Gathered data for analysis and annealed 13+ samples of block co-polymers for using UV and Fluorescence on