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FakeBlubba/README.md

Federico Bianchetti — AI Engineer · RAG & LLM Systems · Cloud Infrastructure

GitHub LinkedIn

I build AI-powered backend systems for enterprise clients. My day-to-day is RAG pipelines, LLM orchestration, agentic architectures, and cloud infrastructure on AWS.

What I work on

What I work on: RAG pipelines, LLM agents, Cloud infra, Backend services

Tech

LOADOUT · AI/ML

Python, FastAPI, TensorFlow, scikit-learn

LOADOUT · Cloud & Infra

AWS, Terraform, Docker

LOADOUT · Databases

PostgreSQL, MongoDB, DynamoDB

Featured projects

$ ls projects/

FrameDeployer

Automated video generation from trending topics: NLP summarization, sentiment analysis, TTS, subtitle sync

Python, NLP

depression-pre-diagnose-model

BERT-based NLP classifier for depression symptom detection from text and audio

BERT, Research

MAADB

Sentiment analysis on tweets: MongoDB MapReduce vs PostgreSQL performance comparison

MongoDB, PostgreSQL

Stats

GitHub stats for FakeBlubba

Background

  • M.Sc. AI & Information Systems — Università degli Studi di Torino
  • 2026 Claude Code 101 & Claude Code in Action — Anthropic
▸ $ make profile

Questo profilo è generato da uno script (scripts/generate-readme-theme.mjs) che legge i design token del pacchetto privato @fakeblubba/terminal-noir e produce ogni badge, chip, alert e card SVG qui sopra usando i contratti dei componenti reali del design system. Una GitHub Action lo rilancia quando il pacchetto cambia versione.

▸ $ cat learning.log

Claude Code 101 & Claude Code in Action (Anthropic, 2026) — e la pratica diretta: questo stesso README è stato costruito con un agente Claude Code, iterando su design system, generazione SVG e GitHub Actions.

made in 8-bit, Torino

Pinned Loading

  1. FrameDeployer FrameDeployer Public

    FrameDeployer is an innovative tool designed to automate the creation of engaging video content using trending topics. With features like trend analysis, linguistic summarization, automated image s…

    Python 4 1