Tell us about a technical project that you’ve worked on before, what you learned from it, and what you liked about it. (Max 1000 characters) *
As maintainer and co-creator of RedditVideoMakerBot (6.8k★, 86 contributors), I built an open-source Python tool automating YouTube video creation from Reddit content. The bot scrapes threads, generates narrated videos with subtitles using FFmpeg/APIs, and handles uploads. I reverse-engineered TikTok’s TTS API for voiceovers, prompting them to implement session tokens—a testament to the project’s technical reach.
Leading collaboration, I optimized performance by tackling API rate limits, parallelizing rendering, and streamlining deployements. Code reviews and documentation taught me to balance scalability with usability, while iterating based on global creator feedback.
The project honed my skills in async Python, reverse engineering, and distributed systems. I thrived on challenges like mimicking TikTok’s API calls and debugging race conditions. Witnessing creators scale channels using the bot—and influencing TikTok’s API evolution—highlighted how innovation reshapes constraints.
We want to learn a little more about you! Tell us about your coding experience. Why do you want to participate in Blueprint 2025? What do you hope to learn? (Max 1200 characters) *
I started coding in middle school by building playful Discord bots (like morse code translors) and Reddit bots tracking meme trends. These projects taught me Python basics and sparked my love for automation. Over time, I explored backend development with Django and FastAPI, and I recently i’ve been loving DevOps & Linux Admin
I want to join Blueprint 2025 to collaborate with peers on creative, impactful projects. While I’ve mostly worked solo, I’m excited to learn how teams ideate and iterate—especially in mobile app development, which I find fascinating! I’d love to dive into Flutter at Blueprint to build sleek, cross-platform apps that solve real-world problems.
At Blueprint, I hope to:
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Learn Flutter to create intuitive mobile interfaces, combining my backend experience with polished frontend design.
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Strengthen teamwork skills by contributing to projects with clear, user-focused goals—like apps that simplify daily tasks for students.
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Focus on accessibility, ensuring tech serves diverse needs, inspired by seeing peers struggle with poorly designed tools.
What was your favorite team that you worked on and why? What challenges did you face and how did you address them? (Max 700 characters) *
At Meta’s Llama Hackathon, I teamed with three UW students to build an AI tool for ALS/LIS patients to communicate via eye movements. We combined a laptop’s webcam with Meta’s Llama to predict phrases from eye patterns.
Challenges included real-time latency: processing data quickly for natural conversation. We optimized Llama for edge devices and pre-cached common phrases, reducing latency by 40%.
Ensuring accuracy was critical—mispredictions could distort user intent. We added a confirmation step and consulted a speech therapist to prioritise clarity over speed.