06/28/2026 updated
BS
100 % available
Senior Full-Stack Developer & AI Engineer
California, USA
Only remote
B.S. Computer Science, University of California, Los Angeles (UCLA)Cloud EngineeringDevOpsDjangoNode.jsTensorFlowNext.jsSystems DesignFront End (Software Engineering)Deep LearningBackendFull Stack DevelopmentFront End Software Development
Full-Stack Development
Expertise in building scalable full-stack web applications using modern frontend frameworks such as React.js, Next.js, HTML5, CSS3, and Tailwind CSS, combined with robust backend technologies including Node.js, Express.js, RESTful APIs, and GraphQL.
Artificial Intelligence & Machine Learning
Strong knowledge in Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision, with hands-on experience using TensorFlow, PyTorch, and Scikit-learn to build and deploy intelligent systems.
Cloud & DevOps
Proficiency in cloud platforms and DevOps practices, including AWS (EC2, S3, Lambda), Docker, Kubernetes, CI/CD Pipelines, Git, and GitHub, enabling reliable and scalable deployment of applications.
Programming Languages
Solid command of multiple programming languages including Python, JavaScript (ES6+), TypeScript, Java, and C++.
Databases & Storage
Experience with relational and non-relational database systems including MySQL, PostgreSQL, MongoDB, and Redis.
Microservices Architecture
Design and maintenance of microservices and APIs, ensuring system reliability, security, and scalability in production environments.
System Design & Algorithms
Knowledge of system design principles, data structures and algorithms, performance optimization, debugging and testing, as well as scalable architecture and clean code practices.
Tools & Technologies
Familiarity with development tools such as Linux/Unix, VS Code, Jupyter Notebook, and Postman to support efficient software development workflows.
Expertise in building scalable full-stack web applications using modern frontend frameworks such as React.js, Next.js, HTML5, CSS3, and Tailwind CSS, combined with robust backend technologies including Node.js, Express.js, RESTful APIs, and GraphQL.
Artificial Intelligence & Machine Learning
Strong knowledge in Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision, with hands-on experience using TensorFlow, PyTorch, and Scikit-learn to build and deploy intelligent systems.
Cloud & DevOps
Proficiency in cloud platforms and DevOps practices, including AWS (EC2, S3, Lambda), Docker, Kubernetes, CI/CD Pipelines, Git, and GitHub, enabling reliable and scalable deployment of applications.
Programming Languages
Solid command of multiple programming languages including Python, JavaScript (ES6+), TypeScript, Java, and C++.
Databases & Storage
Experience with relational and non-relational database systems including MySQL, PostgreSQL, MongoDB, and Redis.
Microservices Architecture
Design and maintenance of microservices and APIs, ensuring system reliability, security, and scalability in production environments.
System Design & Algorithms
Knowledge of system design principles, data structures and algorithms, performance optimization, debugging and testing, as well as scalable architecture and clean code practices.
Tools & Technologies
Familiarity with development tools such as Linux/Unix, VS Code, Jupyter Notebook, and Postman to support efficient software development workflows.
Languages
EnglishNative speakerSpanishFluent
Project history
Lead the development of scalable full-stack applications and AI-driven systems, delivering high-performance solutions across web platforms. Design and deploy machine learning models for predictive analytics, automation, and intelligent product features. Build and maintain microservices and APIs, ensuring system reliability, security, and scalability. Integrate AI capabilities such as recommendation engines and natural language processing into production environments. Collaborate with engineering and product teams to translate complex requirements into efficient technical solutions.
Developed and maintained dynamic web applications using modern front-end frameworks and backend technologies. Created and managed RESTful APIs and database architectures to support scalable applications. Assisted in implementing data pipelines and machine learning components for enhanced functionality. Improved application performance, responsiveness, and overall user experience. Worked closely with cross-functional teams to deliver high-quality software products.
Assisted in developing web-based applications and supporting backend services. Participated in debugging, testing, and documenting code to ensure software quality. Learned and applied best practices in software development and version control. Contributed to small features, bug fixes, and ongoing project improvements.