Senior AI/ML Engineer with Cloud-Native Focus

Ivan Gerardo

Senior AI/ML & Software Engineer ***************@*****.***

https://www.linkedin.com/in/ivan-gerardo-de-la-torre/ SUMMARY

Experienced software engineer with over 6 years of expertise in building scalable web applications and APIs using C#, .NET Core, and modern JavaScript frameworks such as Vue.js. Skilled in designing cloud-native solutions leveraging AWS services, Docker, and RESTful API development for high-performance enterprise applications. Adept at implementing automated testing, optimizing database queries, and collaborating across teams to deliver reliable, scalable, and efficient software products. EXPERIENCE

Jul 2023 - Present SparkCognition

AI/ML Engineer

- Developed AI-powered predictive maintenance models using Python, TensorFlow, and scikit-learn, resulting in a 15% reduction in unscheduled downtime for industrial clients.

- Built and deployed deployment pipelines with Docker and Kubernetes, improving model deployment efficiency by 30%.

- Collaborated with cross-functional teams to integrate AI models into existing cloud infrastructure on AWS, enhancing system scalability and reliability.

- Designed RESTful APIs with Flask to serve AI inference results, ensuring low latency and high throughput for real-time analytics.

- Implemented automated testing frameworks with PyTest and integrated CI/CD pipelines using GitHub Actions, reducing deployment errors by 20%.

- Leveraged AWS services such as S3, Lambda, and EC2 to develop scalable serverless components supporting AI workflows.

- Conducted model interpretability analysis and documented technical specifications to ensure transparency and compliance.

- Utilized version control and code review practices to maintain high-quality code standards across AI projects.

- Mentored junior engineers on AI development best practices and cloud deployment strategies.

- Participated in AI research initiatives, exploring advanced natural language processing techniques for enterprise data analysis.

- Ensured compliance with data privacy standards and optimized data pipelines for efficient processing of large datasets.

- Led efforts to integrate AI solutions with existing enterprise systems, aligning technical implementation with business goals.

- Contributed to technical documentation and knowledge sharing within the AI/ML team. Oct 2020 - Jul 2023 Thought Machine

ML/MLOps Engineer

- Developed machine learning models for credit risk assessment utilizing Python, TensorFlow, and PyTorch, achieving a 10% improvement in prediction accuracy.

- Managed MLOps pipelines with Docker, Kubernetes, and MLflow, reducing model deployment times by 40%.

- Built scalable REST APIs with .NET Core and Python Flask to serve real-time financial scoring, improving response times by 25%.

- Designed data pipelines with SQL Server and Azure Data Factory to support model training and evaluation workflows.

- Implemented CI/CD workflows with GitHub Actions to automate testing, validation, and deployment of ML models, increasing deployment frequency.

- Integrated AWS services such as SageMaker, Lambda, and S3 to facilitate cloud-based model training and inference.

- Conducted performance tuning of database queries to optimize storage and retrieval of financial data.

- Collaborated with product teams to translate business requirements into technical solutions, enabling faster feature delivery.

- Developed automated testing scripts to validate model accuracy and robustness, ensuring compliance with financial regulations.

- Mentored junior data engineers and promoted best practices in MLOps, enhancing team productivity.

Mar 2017 - Oct 2020 BigCommerce

Data Analyst & Software Developer

- Developed internal dashboards using JavaScript, HTML, CSS, and Vue.js to provide real-time sales analytics, increasing decision-making speed.

- Built RESTful APIs with Node.js and Express to automate data retrieval processes, reducing manual reporting efforts by 50%.

- Designed and optimized SQL Server queries for business reporting, improving data retrieval performance by 35%.

- Implemented ETL pipelines for customer data integration using Python and SQL, enabling more accurate customer segmentation.

- Developed and maintained backend services for e-commerce platform features, ensuring high availability and scalability.

- Collaborated with frontend teams to improve UI responsiveness and user experience through Vue.js component enhancements.

- Led data migration projects from legacy systems to modern databases, reducing system downtime during transitions.

- Conducted data analysis to identify sales trends, providing actionable insights for marketing strategies.

- Participated in agile development cycles, delivering features on time and according to specifications.

SKILLS

Programming Languages:

C#, Python, JavaScript, TypeScript

Frameworks & Libraries:

.NET Core, Vue.js/Vue 3, Flask, TensorFlow, PyTorch Databases & Data Storage:

SQL Server, PostgreSQL, DynamoDB, Azure Data Factory Cloud & DevOps:

AWS (S3, Lambda, EC2, SageMaker), Docker, Kubernetes, GitHub Actions, Terraform API & Microservices:

RESTful API development, open API design, API management Testing & CI/CD Tools:

Jest, Playwright, Vite, GitHub Actions, automated testing strategies Containerization & Orchestration:

Docker, Kubernetes

Data & Analytics:

SQL, ETL pipelines, data analysis, model deployment AI & Machine Learning:

Model development, MLOps, cloud-native AI solutions, natural language processing Front-End Development:

Vue.js 3, HTML, CSS, JavaScript, modern front-end patterns Version Control & Collaboration:

Git, code reviews, Agile/Scrum methodologies

EDUCATION

Bachelor's degree of computer science

University of Chester, Mar 2014 - Jan 2017

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