Hard Skills

- Natural Language Processing (Transformers, BERT, GPT, RoBERTa)

- Cloud Platforms: AWS (SageMaker, Lambda, ECS), Azure, GCP

- Containerization & Orchestration: Docker, Kubernetes

- CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI

- Scripting & Automation: Python, Bash, Terraform

- Monitoring & Logging: Prometheus, Grafana, ELK Stack

- DevOps Tools & Practices: Infrastructure as Code, Automated Testing, Blue/Green Deployments

Soft Skills

- Agile Methodologies & Cross-team Collaboration

- Problem Solving & Analytical Thinking

- Effective Communication for Technical & Non-Technical Stakeholders

- Continuous Learning & Adaptability

- Leadership in Cross-Functional Teams

*Senior NLP & DevOps Engineer*

InnovateAI Solutions, San Francisco, CA

June 2022 – Present

- Led the migration of multitenant NLP models to cloud Kubernetes environments, reducing latency by 30% and improving scalability for over 200 active clients.

- Developed automated CI/CD pipelines integrating NLP model training, testing, and deployment workflows, significantly decreasing release cycles from weeks to days.

- Engineering real-time sentiment analysis APIs that process over 1 million requests daily with 99.99% uptime, leveraging AWS SageMaker and Terraform.

- Initiated monitoring strategies utilizing Prometheus and Grafana, increasing system observability and proactive issue resolution.

*NLP Engineer & DevOps Lead*

TechNova Labs, New York, NY

August 2018 – May 2022

- Designed and deployed transformer-based NLP pipelines for customer support chatbots, boosting response accuracy by 25%.

- Implemented a containerized microservices architecture for model serving, enabling seamless updates and A/B testing with minimal downtime.

- Introduced Infrastructure as Code practices enhancing environment reproducibility and security, aligning with compliance standards.

- Collaborated with data scientists to productionize models using CI/CD pipelines, decreasing deployment errors by 15%.

*Software Engineer – NLP Focus*

BrightFuture Technologies, Boston, MA

June 2016 – July 2018

- Engineered text summarization and entity recognition modules improving internal document analysis speed.

- Automated deployment workflows utilizing Jenkins and Docker, ensuring consistent environment setups across development and staging.

- Supported continuous model training with real-time data streams, maintaining model accuracy above 92%.

**Bachelor of Science in Computer Science**

*Massachusetts Institute of Technology (MIT)* — Cambridge, MA

*Graduated: 2016*

- AWS Certified Machine Learning – Specialty (2023)

- Certified Kubernetes Administrator (CKA) (2024)

- DevOps Foundation Certification (2022)

- **Multilingual Chatbot Deployment Platform**

Built a scalable system supporting 10+ languages with real-time translation, integrating NLP models with Kubernetes for deployment, resulting in a 40% increase in customer satisfaction scores.

- **Automated Model Monitoring & Alert System**

Developed a comprehensive monitoring suite for NLP services, utilizing Grafana dashboards and alerting rules, reducing downtime detection time by 60%.

- **AI-Powered Code Documentation Generator**

Created a tool integrating NLP with code repositories to automatically generate documentation, reducing manual effort for over 500 projects.

- NLP Libraries & Frameworks: Hugging Face Transformers, spaCy, Flair

- Cloud: AWS (SageMaker, Lambda, EKS), Azure

- Containerization & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions

- Monitoring & Logging: Prometheus, Grafana, ELK Stack

- Infrastructure as Code: Terraform, CloudFormation

- Programming Languages: Python, Bash, Go

- English (Native)

- Spanish (Professional Working Proficiency)