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BirdCLEF+ 2026 — Kaggle Bronze Medal 🥉
Achievement
Top 9% out of 4,084 teams — Bronze Medal on Kaggle's BirdCLEF+ 2026 competition. Mean CV AUC of 0.9564.
What it does
Built a deep learning pipeline to identify bird species from audio recordings — a real-world bioacoustics problem used by wildlife conservationists and researchers globally.
Technical Approach
Model: EfficientNet-B0 ensemble trained on mel-spectrograms
Data Pipeline: Audio → mel-spectrogram conversion → augmentation → classification
Ensemble Strategy: Multiple model checkpoints averaged for robust predictions
Validation: Cross-validated AUC of 0.9564 across species classes
Key Highlights
🥉 Kaggle Bronze Medal — top 9% of 4,084 teams
🎯 0.9564 mean CV AUC
🔊 End-to-end audio ML pipeline from raw .ogg files
📊 EfficientNet-B0 with spectrogram-based vision approach
🌿 Real-world conservation application
Skills:
Computer Vision · Audio ML · Deep Learning · PyTorch · Signal Processing · Model Ensembling
Stack: Python · PyTorch · EfficientNet · Librosa · Kaggle
#DeepLearning #ComputerVision #AudioML #PyTorch #Kaggle #MachineLearning #EfficientNet #SignalProcessing #Python #AIEngineering
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🎬 Working on this 2026 reel for @studio.dot was an absolute joy and honestly a reminder of why I loooove what we do!
I had the privilege of handling the #music and #sounddesign for this stunning video and wowwww, this team never ceases to amaze us. The #talent and #creativity they bring to everything they touch is just aaaaaamazing!!!
What makes this one extra special is that I've been #collaborating with Studio DOT for over 4 years now 🤝. Four years of shared projects, creative #challenges, and moments like this one... and it never EVER gets old.
🙏 I am truly honored and grateful that Nils and @maxime_dot still consider me part of the family for yet another year. That kind of trust means the world to me and I don't take it for granted for a single second.
Seriously, thank youuuu 🥹!!!!
💛 Thank you both for always opening the door for me. Here's to many many more years of making incredible things together!!
🔊 Turn the sound on, you won't regret it! 👇
2D AnimationMotion DesignSound DesignMusic ProductionAudio EngineeringiZotopeNotionPreSonus Studio One
💯 This deserves to be featured! Fantastic creativity and execution. 🔥✨
Title:
I built a design system generator inside Figma Make. Here's the workflow.
The problem I kept running into: every new client project meant re-explaining the brand to every AI tool from scratch. Figma Make didn't know the colors. Cursor didn't know the tokens. Claude didn't know the rules. I was the shared memory — and I kept losing things.
So I built Design System Gen. Entirely inside Figma Make. Powered by Claude API.
The workflow:
Upload brand references → Claude API analyzes them across 8 dimensions (palette, mood, typography, composition, lighting, texture, motion, UI DNA) → structured data, not vibes → generates 11 files, each formatted for a specific tool in your stack.
figma-make.md → paste once, Figma Make knows your entire design system
design-system.css → all tokens as CSS custom properties
tokens.json → W3C format, imports directly into Figma Variables
starter.tsx → React starter with tokens already bound
.cursorrules → Cursor knows your system from root
Claude.md → Claude reads it automatically every session
+ 5 more for docs, LLMs, prompts, components
Every tool gets its own context file. All consistent with each other.
The part I'm most proud of: I'm a designer. I don't write code. The entire tool — UI, API integration, file generation logic — was built and shipped inside Figma Make. No external hosting. No separate codebase.
Live at: vibecodingdsgen.figma.site
Add your Claude API key and try it with your own moodboard.
#FigmaMake #DesignSystem #VibeCoding #AI #Claude #UXUI #DesignSystems #ConfigMakeathon
As someone who constantly jumps between Figma, Claude, ChatGPT, Cursor, Lovable, and other AI tools, this problem feels very familiar 😅
The tools are getting smarter, but keeping context consistent is still surprisingly manual. Love seeing people tackle that gap.
Figma Make isn't just a prototyping tool. I used it to ship a Claude-powered design system generator.
Most designers treat Figma Make as a quick vibe-coding sketchpad. I wanted to show it's something deeper — a full vibe-coding platform that integrates with external APIs.
The connection nobody writes about
There are three ways Claude connects to Figma today. Figma MCP — Claude reads and writes Figma files via MCP server. Figma's built-in AI — Figma calls its own models internally. And mine — a React app inside Figma Make that calls Claude API directly from the browser. Claude responds to the code, not to Figma. Figma Make is the hosting.
The new pipeline
Old approach: get brandbook and references from client → generate moodboard → align → write prompts for UI Kit. Separate steps, human in the center every time.
My approach: collapse all of that into one step. Run an AI analysis and output structured data — input for machines, not a result for humans.
We don't ask AI how the brand looks. We run an MRI on it and get structured data that machines use to build code.
What gets generated
11 files, all consistent with each other because they share one analysis. For Figma specifically:
tokens.json — W3C DTCG 3-tier format (primitive → semantic → component), imports directly into Figma Variables via Tokens Studio or Figma Make prompt
design-system.css — all tokens as CSS custom properties, ready to import
starter.tsx — paste into Figma Make, full design system renders instantly
figma-make.md — session context, paste once and the AI knows the entire design system
Add a content plan on top — generate a full design in one run with minimal token spend.
The entire tool was built and shipped inside Figma Make. No external hosting. No separate codebase.
#ConfigMakeathon #FigmaMake #DesignSystem #VibeCoding #ClaudeAPI #BuildInPublic
tNot gonna lie, I opened this out of curiosity and left with more questions than answers 😅 But that's usually a good sign. Really interesting exploration of what design workflows might look like in the AI era. And by the way, this link doesn't work figma-make.md
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