Profile

Arya's Portfolio

Profile
Hi, I'm Arya 👋
Arya Davi S. — AI Engineer

I make machines learn and software ship.

CS student from Indonesia into ML, data pipelines, and building software that actually work. Sometimes all three at once. When I'm not coding, I enjoy watching 3Blue1Brown's neural network series before bed and playing pool as a hobby.

2+
Years Experience
30+
Projects Completed
15+
Models Built

Tech Stack

  • DockerDocker
  • KubernetesKubernetes
  • GitGit
  • GitHubGitHub
  • pandasPandas
  • TensorFlowTensorFlow
  • PyTorchPyTorch
  • scikit-learnScikit-Learn
  • NumPyNumPy
  • JupyterJupyter
  • Keras
  • Matplotlib
  • Seaborn
  • ReactReact
  • Next.jsNext.js
  • TypeScriptTypeScript
  • Node.jsNode.js
  • PythonPython
  • Java
  • C++C/C++
  • GoGo
  • WordPressWordpress
  • MySQLMySQL
  • PostgreSQLPostgreSQL
  • MongoDBMongoDB
  • Tailwind CSSTailwind CSS
  • Socket.ioSocket.io

Featured Projects

View All
ScamShield ID: Building an Evidence-Grounded AI Agent for Digital Fraud Triage

ScamShield ID: Building an Evidence-Grounded AI Agent for Digital Fraud Triage

Merancang workflow AI agent berbasis Langflow dan Gemini untuk menganalisis bukti dugaan penipuan digital, menghasilkan structured risk assessment, mengekstrak entitas penting, dan menyusun rekomendasi berbasis bukti.

🤖 Built a multi-step AI agent workflow for structured digital fraud triage
🧩 Enforced schema-constrained LLM outputs for consistent machine-readable risk assessments
🔍 Designed evidence-grounded analysis to reduce unsupported conclusions and hallucinated case details
LangflowGeminiGenerative AILLMPrompt EngineeringStructured OutputsAI Agent WorkflowJSON Schema
Investigating Shortcut Learning in ASL Classification with Grad-CAM

Investigating Shortcut Learning in ASL Classification with Grad-CAM

Membedah fenomena Clever Hans Effect pada model CNN kustom, mengevaluasi limitasi arsitektur MLP, dan menganalisis kerapuhan model terhadap Data Distribution Shift di lingkungan inferensi dunia nyata.

🏆 100% accuracy on the held-out internal test set with an ultralight 135k parameter CNN
🔍 Exposed and mitigated dataset-specific background bias using targeted spatial augmentation
⚠️ Diagnosed critical model fragility and Data Distribution Shift in real-world inference using XAI
TensorFlowKerasOpenCVGrad-CAMtf.data APIScikit-LearnMatplotlibSeaborn

Latest Writing

Read Blog