I am a data scientist and systems engineer based in San Francisco, specializing in transforming complex data into actionable insights and building scalable, high-performance systems for startups and enterprise clients. My expertise spans the entire data science lifecycle from data collection and preprocessing to model deployment and monitoring, with particular focus on cybersecurity, robotics, and quality assurance automation.
Programming Languages: Python, R, SQL, JavaScript, TypeScript, Java, Scala, C++, Go, Rust
Data Science Tools: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Jupyter, RStudio, OpenCV
Web Technologies: React, Three.js, Node.js, Express.js, REST APIs, GraphQL, WebGL
Cloud Platforms: AWS (S3, EC2, Lambda, SageMaker, Security Hub), Azure, Google Cloud Platform
Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, InfluxDB
DevOps Tools: Docker, Kubernetes, Jenkins, GitLab CI, Terraform, Ansible
Cybersecurity Tools: Metasploit, Burp Suite, OWASP ZAP, Nessus, Wireshark, Splunk
Robotics & Automation: ROS, Gazebo, OpenCV, PCL, MoveIt, RPA tools (UiPath, Automation Anywhere)
Testing Tools: Selenium, Cypress, Jest, Pytest, JMeter, Postman, OWASP ZAP
Based in San Francisco, I have extensive experience working across various industries including finance, healthcare, e-commerce, cybersecurity, robotics, and technology startups in the Bay Area. My projects have involved building recommendation systems, fraud detection models, real-time analytics dashboards, high-throughput data processing pipelines, security automation systems, and robotic process automation solutions. I've worked with both early-stage startups and enterprise clients, providing technical leadership and hands-on development expertise.
Core Competencies: Data Science, Machine Learning, Systems Engineering, Software Architecture, Cybersecurity, Information Security, Robotics, Automation, Quality Assurance, Test Automation, Startup Consulting, Technical Leadership, Product Development, Cloud Computing, DevOps, API Development, Database Design, Statistical Analysis, Predictive Analytics, Data Visualization, Business Intelligence, Big Data, ETL, Data Pipelines, Microservices, Scalability, Performance Optimization
Industry Focus: Fintech, Healthtech, E-commerce, SaaS, B2B, B2C, Enterprise Software, Consumer Applications, Mobile Apps, Web Applications, IoT, AI/ML Products, Security Products, Automation Solutions, Data Products, Analytics Platforms
Leadership & Management: Technical Team Leadership, Engineering Management, Product Management, Technical Strategy, Architecture Decisions, Code Reviews, Mentoring, Technical Interviews, Hiring, Team Building, Agile Development, Scrum, Kanban, Project Management, Stakeholder Communication
Email: nestor@pylos.work | LinkedIn: linkedin.com/in/nestor-grace
Available for consulting projects, full-time positions, and technical advisory roles in San Francisco and remote.