Rishabh Garg is an SDE-2 based in Seattle with a decade of software engineering experience, currently building scalable systems at Amazon. He combines a strong academic foundation—a Master's in Computer Science from Texas A&M—with hands-on roles across fintech, logistics, and enterprise projects, bringing practical experience from ION Trading, RIVIGO, and Deloitte. Rishabh contributes to open-source tooling, notably improving teletext and subtitle handling (including Cyrillic support) in the widely used CCExtractor project, showing attention to niche protocol and encoding challenges. His background includes research-style development of Markov-model systems and production service work, reflecting fluency across algorithms and large-scale backend engineering. Colleagues know him for quietly fixing tricky edge cases (like control-packet and character-mapping bugs) that improve robustness for global users. He is motivated to align technical delivery with organizational goals at a global IT leader.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Texas A&M University
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Delhi Technological University
CCExtractor - Official version maintained by the core team
Role in this project:
Back-end Developer
Contributions:33 commits, 4 PRs, 11 comments in 5 months
Contributions summary:Rishabh primarily focused on enhancing teletext processing within the CCExtractor project. Their contributions included implementing Cyrillic support by modifying character set mappings and related functions. They also made improvements to the handling of control packets and run-length encoding for DVD subtitles. In addition, the user addressed a bug related to displaying the "@" symbol in the subtitle output.
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