
andrew sams
@andrewsams
Frontend Developer at LiveCom BV who improved a public-service portal’s Lighthouse score from 55 to 92.
What I'm looking for
At LiveCom BV, I improved the main civil-service portal’s Lighthouse score from 55 to 92 by implementing SSR with Next.js and addressing render-blocking resources. I also refactored a React dashboard component, reducing initial load time from 4.2 seconds to 1.8 seconds.
I built e-government applications with React, Next.js, and TypeScript, including a live chat widget serving 8,000 daily sessions. Earlier, as a Frontend Developer Intern at PT. Nusantara Compnet Integrator, I worked on the BRI Pinang loan app and integrated the Razorpay Payment Gateway API.
Experience
Work history, roles, and key accomplishments
Frontend Developer
LiveCom BV
Dec 2021 - Mar 2024 (2 years 3 months)
Refactored a core React dashboard component using memoization and lazy loading, reducing initial page load time from 4.2 seconds to 1.8 seconds across 30,000 monthly active users. Improved Lighthouse performance score from 55 to 92 on the main civil-service portal by implementing SSR with Next.js and adopting Tailwind CSS.
Frontend Developer Intern
PT. Nusantara Compnet Integrator
Feb 2020 - Aug 2020 (6 months)
Built a reusable React component library and implemented SSR with Next.js for the BRI Pinang loan app, improving Lighthouse performance score from 61 to 78. Integrated Razorpay Payment Gateway API within a TypeScript codebase, enabling secure in-app transactions and reducing payment error callbacks.
Education
Degrees, certifications, and relevant coursework
Goethe-Institut
Goethe-Zertifikat B2, German Language
2025 - 2026
Grade: Passed
Completed intensive German language training and earned the Goethe-Zertifikat B2.
University of Bayreuth
Advanced Python and Data Science, Data Science
2024 - 2025
Coursework covering supervised and unsupervised machine learning with Scikit-learn, data extraction and cleansing with Pandas and NumPy, and data visualisation with Matplotlib.
Bina Nusantara University
Master of Science, Computer Science
2021 - 2022
Grade: 3.87/4.00
M.Sc. in Computer Science with specialisation in Data Science, Big Data, and Deep Learning. Graduated with Magna Cum Laude.
Bina Nusantara University
Bachelor of Science, Computer Science
2017 - 2021
Grade: 3.67/4.00
B.Sc. in Computer Science with specialisation in Artificial Intelligence. Graduated with Cum Laude.
Availability
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