Apr 2023 – May 2025 · 2 yrs 1 mo · Remote

Apr 2022 – Feb 2023 · 10 mos · San Francisco Bay Area

Jun 2021 – Mar 2022 · 9 mos · Mountain View, California, United States

Jun 2020 – Jun 2021 · 1 yr · Austin, Texas, United States

Jun 2019 – Sep 2019 · 3 mos

Jun 2018 – Sep 2018 · 3 mos · Palo Alto, California

• 1. Built a Sandbox REST API from scratch that securely handles token transactions through a PostgreSQL database
• 2. Hosted API and database on an AWS EC2 and RDS instance respectively and mentored the whole team about the process
• 3. Created SDK from scratch that uses promise-handling and public and private key encryption and published it as an NPM package, ‘ncent-sdk-public’
• 4. Constructed a front-end application and database that uses the Gmail API and SDK to send jobCents via email
• 5. Co-developed a wallet application and database that enables investor whitelist sign-ups and stores nCent tokens on Stellar Test Network with proper trustline handling and secure transactions

Sep 2017 – Jun 2018 · 9 mos

• A VPTL (Vice Provost of Teaching and Learning) Drop-In Tutor
• Provided personalized coaching for groups of students on Stanford Mathematics and Physics Courses (including Multivariable Calculus, Linear Algebra, Ordinary Differential Equations, Mechanics and Electricity and Magnetism).
• Received weekly training for effective tutoring.

Aug 2017 – Sep 2017 · 1 mo · Singapore

• 1. Designed and trained logistical regression and multi-layer perceptron models to find the top match for a user
• 2. Pre-processed 90000 messages from multiple data sources into 40000 chats while imputing missing values
• 3. Engineered and extracted over 15 features by binning data, reframing variable distributions and treating outliers
• 4. Co-designed a new idea and UI for auctioning time slots to multiply user base and engagement

Jun 2016 – Aug 2016 · 2 mos

• 1. Reported directly to CTO to co-lead development of PR crisis prediction tool, Beacon
• 2. Harvested data from Nikon's 2016 PR crash and trained logistic regression and SVM models with an F1 score of 0.7

May 2016 – Jun 2016 · 1 mo

• 1. Served as sole point of contact for strategic collaboration with SF-based data science company DataSift, which provided Circus Social (aggregated and anonymized) Facebook user metadata
• 2. Developed data analysis deck for MediaCorp, represented company to present deck to organizing board
• 3. Fielded technical questions during sales pitches to potential clients, bi-monthly existing client meetings.

Mar 2016 – May 2016 · 2 mos

• 1. Onboarded to track MasterCard’s Priceless Surprises and Cities advertisement campaign and entertainment consumption across Singapore
• 2. Designed new features for AudienceMaps and 20/Twenty and led developers to implement them according to specifications.
• 3. Developed specific keyword booleans to track and analyze social media presence for clients like Fitbit, Nikon and Ministry of Tourism in Indonesia

Feb 2014 – Dec 2015 · 1 yr 10 mos · Singapore

• 1. Trained to handle semi-automatic weapons (SAW): SAR 21, M-16
• 2. Conducted drills training soldiers in urban warfare
• 3. Oversaw safe missile transportation from temperature-controlled igloos in ammunition depot to research facility 30 minutes away