Sep 2020 – Jan 2021 · 4 mos · New York, United States

• Contribute to developing and maintaining data pipelines used internally by the whole company on product usage and analytics data.
• Built 6/11 data facts and visualization in Company annual Kubernetes containers research report using Scala, SQL, matplotlib
• Enable outbound integrations to EU datacenters for 3 ETL pipelines to conform to GDPR standard.
• Built usage alerting system for three Datadog products that alerts sales when users achieve engagement threshold
• Work closely with end users to sketch data requirements; Collaborate with engineers to build performant systems

Jun 2020 – Aug 2020 · 2 mos · Boston, Massachusetts, United States

• Built full stack application from scratch using C#, React Typescript with FluentUI library with an intern team of 8 that provided an Azure API for Office 365 telecommunication service
• Designed, built and tested over 20 api endpoints, implemented with 3 tier architecture for scalability and security
• Lead technical design and sprint retro meetings; assisted in client meetings by demoing application and answering technical questions
• Collaborated closely with product manager and UX designer interns to prioritize features, engineer requirements and create implementation schedule
• Followed agile development cycle and took initiative to be scrum master for 4/10 weeks of internship

Jan 2020 – Apr 2020 · 3 mos · Menlo Park, California, United States

• Designed, implemented & tested python module that generates configuration files to automatically onboard NLP models to a continuous e2e Machine Learning pipeline that covers from data validation and source control to model training, testing and deployment. Saving over 2 weeks of developer time per new model added.
• Manually onboarded 4 ML models to the pipeline by using inheritance, mutator and singleton design patterns in python
• Added 3 features to a model monitoring web console using React, HACK & GraphQL. Took initiative to improve existing code that reduced web console load time by 5x using React Suspense to asynchronous load data during render .
• Took initiative to create documentation in over 30 code files and drafted usage guides for onboarding models to ML pipeline, allowing end users to self onboard their models.

Aug 2019 – Dec 2019 · 4 mos

• Investigated relationship between personality and mental health by correlating peoples' daily speech, mental health history and personality traits through Natural Language Processing
• Worked over 10 hours weekly as an Independent Researcher in Human Language Analysis Lab, met weekly with advisor Andrew Schwartz

Aug 2019 – Dec 2019 · 4 mos

• Teaching TA for Data structures course with over 250 students
• Designed curriculum to teach a weekly class of 35 students.
• Held 4 hours of office hours weekly to assist 50+ students

Jun 2019 – Aug 2019 · 2 mos · Greater New York City Area

• Developed Natural Language Processing application that detects gender/racial bias in text. Presented to the Executive director in Big Data Department.
• Manually collected over 12 labelled language datasets through scarping social media and contacting independent researchers; Preprocessed datasets through tf-idf, word2vec and other standard cleaning methods.
• Trained state-of-art language models (BERT, ULMFIT, FastText); Analyzed the performance of each model using ROC-AUC scores.
• Created Flask chat application to demonstrate the model.
• Took initiative to help other teams by creating unit test cases for git automation script.

Aug 2018 – Dec 2018 · 4 mos · Natural Language Processing Lab

• Assisted in development of a Natural Language Processing Application that detects fake medical news by verifying news content with referenced sources
• Created Python script to collect ~1000 medical news daily from over 200 medical news sites, extract article content by parsing HTML webpage
• Assisted in developing annotation rules for extracting events from sentences in medical news that contains references.

Apr 2017 – Jan 2019 · 1 yr 9 mos · Greater New York City Area

• Engage customers to build solutions based on customer needs in a fast-paced environments
• Achieved 1st place in revenue among all part-timers with $1000/hr average. MVP June 2017

Dec 2016 – Apr 2017 · 4 mos

• Gained extensive experience in Arduino and circuit building and used it to build circuits to connect sensors with Arduino.
• Helped main programmer to create a FRC team analyzing app by integrating FRC events API in a website to display current teams in play and their stats.

Jun 2016 – Sep 2016 · 3 mos

• Implemented Google Places and Geolocation API into a website.
• Full-Stack developer, coded functionalities for UI components and integrated with APIs.

Apr 2016 – May 2017 · 1 yr 1 mo

• Invented a device that monitors chemical reaction by detecting subtle density changes in reaction fluid using ultrasound technology.
• Developed a data processing program in Python to process unfiltered Arduino data for noise reduction. The program processes data real-time and displays in a live update chart.
• Created an amplification circuit for Arduino to ultrasonic sensor connection, and printed 3D parts to hold sensors with reaction flask.
• Contacted mentor and recruited 2 teammates independently. I lead the team by leading experiments, and arranged meetings with mentors and coordinated.