May 2018 – Aug 2018 · 3 mos · Singapore

• Qualitative Research:
• 1) Conducted >20 User Testing to understand app's usability
• 2) Head dogfooding for app's V2
• 3) Gathered insights by interacting with ShopBack's Facebook community
• Quantitative Research:
• 1) Performance comparison of the app across different versions using MySQL
• Empowering stakeholders:
• 1) Revamped data collection with Engineering Team to empower Marketing with in-house analytical tools by defining the parameters of every app actions (clicks, scrolls etc.)
• 2) Educated APAC teams by creating lessons on the in-house tools created
• 3) Presented analysis of app's performance to APAC teams
• Technical:
• 1) Live configuration of the app to integrate new merchants
• 2) Created links for customized app's onboarding flows
• Market Research:
• 1) Explore product opportunities by doing analysis on the different verticals of e-commerce markets
• Tech stack: MySQL, MongoDB
• Tools used: Confluence, JIRA

Jan 2018 – Jan 2024 · 6 yrs · Singapore

• Build
• Web app with Ruby on Rails and React + scaled it to >400,000 monthly users
• Full-text search, aggregations and term-based similarity search with Elasticsearch
• Salary database aggregated from ~6 million data points (query response time of ~20ms)
• Queue systems with Solid Queue (from Sidekiq, Redis, Cron) to process X00,000+ jobs daily
• Automated web scrapers to crawl >20 sites with Selenium WebDriver
• AI job search tools with LLMs e.g. OpenAI’s GPT-4o and Google’s Gemini Pro
• Optimization (Cost & Latency)
• Maintained infrastructure costs under $500 per month
• Reduced PostgreSQL cost by 47% by migrating from Amazon RDS to Crunchy Bridge
• Reduced concurrent DB queries by 3x by refactoring to use fewer and faster queries
• Reduced DB load by 72% with indexing, caching frequent queries, and minimizing view refresh frequency
• Reduced latency from 480ms to 180ms by removing blocking 3rd-party Geolocation API calls
• Implemented Jemalloc and reduced application memory usage by 22%
• Reduced requests to servers by 25% by implementing Cloudflare WAF and Bot Mode
• Reduced server and egress costs by caching 95% of requests with CDN
• Improved CI to be 3x faster and 6x cheaper with Rspec test parallelization & migrating to 3rd party runners
• Refactored Resume Checker matching algorithm improving speed by 98% (1550ms to 25ms)
• Management
• Hired & managed a remote team of 1 PM, 1 Product Designer and 2 Growth Marketers
• Mentored >16 software engineering interns by sharing best practices
• Others
• Used Docker streamline production deployment
• Setup APM and Observability tools like PgHero and Grafana
• Implemented A/B testing tools
• Implemented internationalization (i18n) for Indonesia and Vietnam markets
• Integrated real-time error logging and tracking service Rollbar
• Integrated product analytic tools like Google Analytics, Hotjar, Amplitude, Microsoft Clarity and Metabase

Jan 2017 – Aug 2017 · 7 mos · 77 Ayer Rajah Crescent #03-23, 139954

• Tech - Database:
• 1) Financial Due Diligence for Fund Raising
• 2) Built financial DB and automated monthly generation of financial figures - Reduce time taken to < 3 days
• 3) Revenue provisioning of all countries and top merchants with Data Team
• Tech Stack: Python, MySQL
• Others:
• 1) Led Sensitive Analysis project on Payment and presented to CEO and management
• 2) Prepared a Quarterly Investor Update on new partnerships, product development marketing success
• Tools used: Microsoft Excel VBA

Sep 2016 – Jan 2018 · 1 yr 4 mos · Singapore

• The City Fellows Consortium is an innovation-centered private league for Los Angeles' top undergraduate engineering fellows, selected from the region’s most elite universities.