**Hard Skills:**

- Blockchain Platforms: Ethereum, Hyperledger Fabric, Polkadot

- Machine Learning & AI: Regression, Classification, NLP, Anomaly Detection

- MLOps Tools: Kubernetes, MLflow, Docker, Jenkins, Terraform

- Smart Contract Development: Solidity, Rust

- Data Engineering: Spark, Kafka, Airflow

- Cryptography & Security Protocols

- Distributed System Optimization

**Soft Skills:**

- Problem-solving & Analytical Thinking

- Cross-disciplinary Collaboration

- Agile & DevOps Methodologies

- Communication & Technical Documentation

- Continuous Learning & Adaptation

*Senior MLOps Engineer | BlockSecure Labs*

San Francisco, CA | June 2022 – Present

- Led development of automated ML pipelines integrated with blockchain for real-time fraud detection in decentralized finance (DeFi) applications, reducing false positives by 30%.

- Implemented containerized ML models with secure smart contract interfaces, ensuring traceability and auditability across distributed nodes.

- Designed scalable Kubernetes infrastructure supporting high-throughput blockchain data ingestion and processing.

- Collaborated with cryptography teams to embed ML features directly into blockchain validation processes, enhancing network security.

*Blockchain AI Engineer | ChainTech Innovations*

New York, NY | August 2019 – May 2022

- Developed ML models for predictive analytics on blockchain transaction patterns, improving early anomaly detection in supply chain tracking.

- Created CI/CD workflows with Jenkins and Docker for deploying smart contracts and ML components, accelerating deployment cycles by 40%.

- Integrated NLP-powered smart contract auditing tools to identify potential vulnerabilities faster, reducing manual review time.

- Worked closely with data privacy specialists to implement zero-knowledge proofs supporting ML model confidentiality in sensitive applications.

*Junior Blockchain Developer | CryptoNext Solutions*

Remote | July 2017 – July 2019

- Assisted in building secure dApps on Ethereum, integrating basic AI-powered features for user behavior analysis.

- Participated in smart contract testing and deployment, gaining foundational knowledge of Solidity and blockchain security best practices.

- Supported migration of legacy financial data systems onto private blockchain networks, evaluating performance and security.

**Bachelor of Science in Computer Science**

State University of Technology, City, State

Graduated: 2017

- Certified Blockchain Developer (CBDE) – Blockchain Council, 2024

- MLOps Specialist Certification – Data Science Council, 2023

- Certified Kubernetes Administrator (CKA) – CNCF, 2022

- **DeFi Fraud Detection System:** Built an ML-driven anomaly detection system deployed on Ethereum that monitors transaction patterns, flagging potentially malicious activities with 95% accuracy.

- **NFT Ownership Provenance Tracker:** Developed a smart contract-integrated ML model analyzing transactional metadata to authenticate NFT origins, enhancing marketplace trust.

- **Secure Federated Learning over Blockchain:** Led a project enabling privacy-preserving ML model training across multiple nodes, utilizing blockchain to coordinate and audit training data exchanges.

- Kubernetes, Docker, Jenkins, Terraform

- MLflow, Apache Spark, Kafka, Airflow

- Solidity, Rust, Web3.js

- Python, R, Java

- Cryptography Protocols: ECC, RSA, Zero-Knowledge Proofs

- English (Fluent)

- Spanish (Conversational)