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FakeBlubba/README.md

Federico Bianchetti

AI Engineer · RAG & LLM Systems · Cloud Infrastructure

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

RAG pipelines          →  embedding indexing, vector stores, retrieval orchestration
LLM agents             →  multi-agent systems, tool use, monitoring agents
Cloud infra            →  AWS Lambda · DynamoDB · Bedrock · Terraform · Packer
Backend services       →  FastAPI · document ingestion · entity extraction

Tech

AI/ML

Python FastAPI TensorFlow scikit-learn

Cloud & Infra

AWS Terraform Docker

Databases

PostgreSQL MongoDB DynamoDB

Featured projects

Repo What it does
FrameDeployer Automated video generation from trending topics: NLP summarization, sentiment analysis, TTS, subtitle sync
depression-pre-diagnose-model BERT-based NLP classifier for depression symptom detection from text and audio
MAADB Sentiment analysis on tweets: MongoDB MapReduce vs PostgreSQL performance comparison

Stats

Background

  • 🎓 M.Sc. AI & Information Systems — Università degli Studi di Torino
  • 📜 Claude Code 101 & Claude Code in Action — Anthropic (2026)

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