Hello, I am
Veysi Can Keten.
I build AI-powered tools, architect resilient cloud infrastructures, and publish production-grade technical guides.
Latest Guides & Resources
AI integrations, cloud systems, and architectural blueprints.
Guide: Fine-Tuning & Transfer Learning with NASNetMobile for Waste Classification
A step-by-step deep learning guide on selective layer unfreezing, data augmentation, and domain-specific fine-tuning using ImageNet-pretrained NASNetMobile.
Guide: Building a Serverless Portfolio & Automated CI/CD with Astro v5 & AWS Amplify
Architecting a zero-server, high-performance tech platform that automatically builds and deploys from GitHub to AWS Edge CDN locations.
Guide: Architecting Local RAG (Retrieval-Augmented Generation) & Vector Databases
Building zero-privacy-risk, local GPU-powered RAG pipelines without transmitting sensitive enterprise documents to third-party cloud APIs.
Guide: Local Audiobook Pipeline Architecture & Setup
A resilient, zero-cloud-cost local Text-to-Speech (TTS) audiobook generation pipeline designed for consumer GPU hardware.
Open Source Projects
AI tools and system infrastructure projects I build and maintain.
Serverless Portfolio & CI/CD Pipeline
A static web platform built from scratch using Astro and AWS Amplify, featuring a fully automated Continuous Deployment (CI/CD) architecture.
Local Audiobook Generation Pipeline
An end-to-end automated pipeline for generating studio-quality audiobooks on local GPU hardware, powering Vocal Verse Publishing.
About Me & Capabilities
Systems thinking, resilient architectures, and a passion for continuous learning.
Computer Science Student & System Architect
I am a Computer Science student currently seeking a Working Student or Internship position in Germany where I can contribute to IT infrastructure. Whether I am drawing out whiteboard architectures for Turing's Way, preparing for my AWS Cloud Practitioner certification, or training as a hybrid athlete for my upcoming Ironman 70.3, my core focus is building resilient systems.
AI & ML
LLM tooling, audio pipelines, local RAG architectures, and PyTorch model training.
AI & ML
AWS Cloud Practitioner preparation, Docker containerization, and distributed systems.
Hybrid Endurance
Ironman 70.3 training blended with rigorous engineering discipline and mental toughness.