I build robust, production-ready solutions at the intersection of machine learning, cloud-native infrastructure, and blockchain technology. My focus is on reliability, observability, and performance—from AI microservices to decentralized protocols.
- Languages: Python, Rust, Nim, Solidity, Go, TypeScript
- MLOps & DevOps: Kubernetes, Docker, Prometheus, Grafana, MLflow, GitHub Actions, HCL
- ML & Data: PyTorch, FastAPI, Hugging Face, Pandas, Pandera
- Blockchain: Ethereum, Solidity, Smart Contracts (Staking, Governance)
- KubeSentiment: Production-grade sentiment analysis API with a full MLOps lifecycle on Kubernetes.
- mlops-pipeline: Advanced, reproducible ML pipelines using a lean stack of Python, PowerShell, and Make.
- portable-predictor: A minimal, robust FastAPI microservice for ML model inference with CI/CD.
- nim-blockchain-node: High-performance blockchain node in Nim, featuring modular consensus and ZK proofs.
- PeoPay-Core: Core Solidity contracts for the PeoPay ecosystem (token, staking, governance).
- peochain-demo: A Rust-based testnet demonstrating high-throughput cross-chain logic.
- Email: dani.levi.kaufman@gmail.com
- Twitter: @Crop_Cead
Fun Fact: I once built a blockchain from scratch in Nim just to see how fast I could make it. Spoiler: pretty fast.