At Threads(.com), I developed full-stack working with TypeScript, MySQL, etc. Moreover, I had the opportunity to tap into my product-thinking skills, collaborating with teammates to lead the design and implementation of several features and projects.

At Ovation, I was a full-stack software engineer on the LIMS product from June 2020 to Dec 2021, delivering numerous features using EmberJS, Ruby on Rails, and MySQL. I learned how to be part of a scrum team working in sprints using Atlassian (Agile using Jira).

Eager to learn, I joined the DevOps team from Dec 2021 to Jan 2023. There, I learned many new skills: managing infrastructure and network using AWS (ECS, EC2, S3, RDS, etc.) and Terraform, monitoring performance via CloudWatch, improving the deployment (CI/CD) pipeline using Github Actions, as well as managing credentials using Auth0.

Meanwhile, I also was in the rotation as a support/oncall engineer, responding to emergencies and client requests, as well as communicating effectively with the Customer Success team and the rest of the engineering team.

Lastly, I worked on a Data Querying tool to help query and present millions of rows of data. As a developer, I contributed to designing a smooth, error-prone user experience as well as implementing features for the UI using React and TypeScript.

Kite.com hosted Kite Answers, a collection of high-quality answers to curated programming questions.

Kite Answers was similar to Stack Overflow. Unlike SO where posts are made and built by crowd-sourced answers, Kite Answers provided a curated selection of common programming questions, and provided concise solutions and explanations written by a collection of authors.

I authored around 100 code solutions and explanations for questions in Python.

Ovation (https://www.ovation.io/) provides a Laboratory Information Management System (LIMS) software as a service.

As an full-stack software engineer intern, I designed and implemented batch upload & download features for the UI and backend, as well as a re-usable CSV validator component that validates the end-user's input files, and provides helpful messages to make sure the user experience is smooth and error-proof.

ConquerX was a startup aiming to help identify major cancer types using biomarker and MetaCHIP technology.

As a software development intern, I data-scraped selected public biomarker databases using Python Selenium, a data-scraping tool

Secondly, I designed and implemented an optimal NoSQL database to store and retrieve the scraped data using MongoDB.

Lastly, I presented the data via an interactive web-app that lets users filter large amounts of biomarker data using desired selectors, such as cancer type. This helped the lab side identify which biomarkers might be helpful toward identifying early cancer detection.