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Ayush Kumar
From India 07:30 AM (GMT+05:30)
$20/hr or $26,000/yr

Active over a week ago


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SDE 1 - Full Stack

Full-Stack Engineer
Available for hire
Years of experience
1+ years
Experience level
Junior
Available for
Full-time
Available from
24 Jul 2026

I’m a full-stack engineer with a strong focus on building real, production-level systems, not just projects for the sake of it. I graduated in Computer Science with a specialization in AI, but most of my growth has come from hands-on experience—working on freelance projects, internships, and solving real user problems end-to-end.

What makes me unique is the combination of frontend depth and product thinking. I’ve spent over a year building user-facing interfaces, but also worked on backend systems, AWS deployments, and AI-driven features. For example, I’ve built full-stack applications using the MERN stack, deployed them on AWS (EC2, S3, CloudFront, Amplify), and even worked on systems that process video data and generate structured insights using AI. I don’t just code features—I think about how users interact with them and how to make them reliable and scalable. I’ve also worked on automating workflows like generating interview reports and tailoring resumes, which reflects my interest in using AI to reduce manual effort.

Another thing that defines me is that I’ve learned a lot through iteration and feedback. I’ve had moments where my work wasn’t perfect—like UI issues or edge cases—but I’ve used those as a way to improve quickly and raise my standards.

Overall, I’d describe myself as someone who is practical, fast-learning, and product-oriented, with a strong foundation in full-stack development and a growing focus on AI-driven applications.

Employment History

SDE 1 - Full Stack at VideoVerse Current 2025 - Now
• Built a vision LLM pipeline to extract and enrich metadata from HLS video streams, automating clip tagging and reducing manual effort for content teams • Developed a replay detection system using binary mask generation and pixel-level frame comparison, now used by broadcasters including CBS, Paramount, and the Danish league • Integrated sports data pipelines (StatsPerform, SportRadar, Genius) for automated metadata enrichment and faster highlight generation • Built a graphics templating system for automated generation of game-day, score, and schedule posts; enabled 100+ social media exports for LKL • Built rule-based workflows to automate MP4 → HLS conversion and multi-platform publishing, reducing turnaround time

Education