# Long T. > Techie Location: San Francisco Bay Area, United States Profile: https://flows.cv/longt I am a techie with background in Transportation Engineering. I am interested in AI, data engineering, AR, music, games and origin of life. ## Work Experience ### Staff Software Engineer @ Rostrum Pacific Jan 2024 – Present 🎼 Data Engineering: Built end-to-end data pipelines to aggregate streaming analytics and royalty data from various DSPs (Spotify, Apple Music, Amazon Music, YouTube Music, etc), enabling real-time insights for artist performance tracking Designed and implemented ELT workflows with sophisticated data orchestration to collect, load, and transform music consumption data across multiple digital service providers, supporting data-driven decision making. 🎡 Full-stack Development: Developed comprehensive music analytics platform integrating streaming data, royalty payments, and audience demographics into intuitive dashboards for artists and industry stakeholders Built interactive data visualization tools that transform complex music industry metrics into actionable insights, enabling artists to track performance across multiple DSPs and optimize their revenue streams Engineered end-to-end analytics solutions that streamline music publishing workflows by consolidating financial reporting, audience analysis, and streaming performance data into unified interfaces ### Director of Engineering @ Lucky Labs Jan 2021 – Jan 2025 LuckyLabs builds the bridge between brands, retailers and their customers. We will always shop. While this will never go away, the method in which we shop changes. We believe that the methods will continue evolving β€” but there needs to be a connection amongst all these methods. Each method should be integrated into the ecosystem in a way where people’s experiences are heightened in an exponential way. Lucky builds everything in the best interest of consumers, retailers, and brands. We believe that for the betterment of our industry, commerce should be built around everyone cohesively strengthening each other β€” creating truly connected outcomes for all. Our mission to empower shops with real-time data, providing customers the most reliable insights across omni-channels. I built a team from scratch, worked on deep integrations with Shopify, Walmart, Walgreens, Sephora, Nordstrom, Bloomingdale and Best Buy and made our clients wildest e-commerce dream come true. ### Senior Consultant & Shareholder @ AxleHire Jan 2021 – Jan 2022 ### Founding Engineer / VP of Engineering @ AxleHire Jan 2016 – Jan 2021 | San Francisco Bay Area AxleHire is passionate about modernizing middle-mile and last-mile logistics. Warehousing, sorting, labeling, same-day/next-day shipping are our gigs. We build sophisticated software systems to reduce all the hassles of planning and execution to length of few clicks. Our operating markets are: San Francisco Bay Area, Greater Los Angeles, Phoenix, Las Vegas, Portland, Seattle, New York City, Dallas and beyond. Our clients include BlueApron, HelloFresh, Grubmarket and Albertsons. My day-to-day responsibilities: - Oversee engineering efforts: planning, optimization and automation. - Work along with clients and partners on deep integration. - Work along with CEO and investors on strategic moves. ### Software Engineer @ Hello Jan 2014 – Jan 2015 | San Francisco Bay Area Hello is an Internet of Things startup that focuses on quantifying sleep quality with non-wearable devices. As a member of the software team, I was involved in server-side development of sensing, storing, processing and serving data. I also built & maintained various web applications and learnt how to sleep better. ### Software Developer @ Automatic Labs, LLC Jan 2013 – Jan 2014 | San Francisco Automatic (acquired by Sirius XM Radio in 2017) is a leading startup in manufacturing hardware and software that empower drivers with knowledge from their vehicles. I was involved in various projects from developing anomalies detection system for incoming data from OBD-II port to making web tools that speed up debugging process. I also spent time on the road testing our products and learnt a great deal about car data, fuel economy and check engine light codes. ### Graduate Student in Civil Engineering - Transportation @ Institute of Transportation Studies, UC Berkeley Jan 2010 – Jan 2012 | Institute of Transportation Studies - Research: Develop a swarm intelligence heuristics application to optimize the allocation of resources to increase the load capacity of bridge networks based on Markovian deterioration model. - Teaching: Engineering 7- Introductory Programming in Matlab for undergraduates at Dept. of Mechanical Engineering - Teaching: Physics 7-series (Classical Mechanics) for undergraduates at Dept. of Physics ### Junior Researcher @ NECTEC Jan 2008 – Jan 2010 | Pathumthani, Thailand - Simulate air flow around complex buildings. - Develop microscopic traffic simulation. ## Education ### Master's degree in Transportation Engineering University of California, Berkeley ### Bachelor's degree in Civil Engineering Thammasat University ### Transfer --> Nanyang Technological University Singapore ## Contact & Social - LinkedIn: https://linkedin.com/in/izzy3ds - Website: https://longtran.xyz --- Source: https://flows.cv/longt JSON Resume: https://flows.cv/longt/resume.json Last updated: 2026-04-01