Full-Stack Engineer (JSX stack)

Strong skills in information architecture, with the ability to structure and organize complex data, content, and system flows into clear, intuitive, and scalable frameworks. Proficient in developing taxonomies, navigation systems, and content hierarchies that improve usability and discoverability. Experienced in mapping user flows, defining information structures, and translating business requirements into well-organized digital experiences. Skilled in collaborating across design and engineering teams to maintain consistency and clarity across platforms. Applies a solutions-oriented approach, ensuring systems are both user-friendly and scalable for long-term growth.

Senior-level Next.js engineer with deep expertise in building scalable, production-grade applications using the App Router, server components, and hybrid rendering strategies (SSR, SSG, ISR). Designs end-to-end architectures that integrate seamlessly with backend services (Node.js, serverless, and microservices), emphasizing performance, security, and maintainability. Proficient in optimizing data fetching, caching, and edge deployments, while enforcing best practices in TypeScript, state management, and CI/CD. Approaches development with a solutions architect mindset, balancing business requirements, system design, and long-term scalability.

Advanced experience leveraging Supabase to build scalable, full-stack applications. Strong command of PostgreSQL-based data modeling, real-time features, authentication, and storage, with a focus on designing secure and efficient systems. Experienced in implementing row-level security (RLS), optimizing queries, and integrating Supabase seamlessly with modern frameworks such as React and Next.js. Skilled in managing database migrations, structuring maintainable architectures, and supporting serverless and event-driven patterns.

Proficient in component-driven architecture, state management, hooks, context, and modern React patterns, with strong experience in integrating APIs, handling complex UI flows, and optimizing rendering performance. Skilled in designing reusable component systems, improving developer experience, and implementing best practices in TypeScript, testing, and front-end architecture. Experienced in working within full-stack environments alongside Node.js and cloud-based backends, ensuring seamless integration across the application stack.

Proficient in modern ES6+ features, asynchronous programming, and event-driven architecture, with extensive experience in frameworks such as React, Next.js, and Node.js. Skilled in designing modular, maintainable codebases, optimizing performance, and handling complex state and data flows. Strong understanding of browser internals, API design, and integration patterns, including real-time and distributed systems. Experienced in enforcing best practices around testing, code quality, and CI/CD workflows.

Skilled in deploying and managing cloud-native applications on AWS using infrastructure as code (Terraform/CloudFormation) and CI/CD pipelines, including hands-on experience with Git-based workflows and GitHub Actions for automated testing, building, and deployment.

Experienced in schema design for high-performance applications, including indexing strategies, aggregation pipelines, and data modeling for both transactional and analytical workloads. Skilled in handling large datasets with sharding, replication, and high-availability configurations, ensuring data consistency and fault tolerance. Proficient in query optimization, performance tuning, and integrating MongoDB with Node.js-based systems. Familiar with security best practices, including role-based access control and data validation, as well as backup, monitoring, and operational management.

Experienced in architecting modular and distributed systems using Express, Fastify, and serverless patterns, with strong integration across databases (SQL/NoSQL), caching layers, and message queues. Proficient in performance optimization, concurrency handling, and security best practices, including authentication, rate limiting, and API hardening. Skilled in deploying and managing cloud-native applications on AWS using infrastructure as code (Terraform/CloudFormation) and CI/CD pipelines. Operates with a solutions architect mindset, translating business requirements into resilient, maintainable, and scalable backend architectures.

Experienced with core AWS services including Lambda, API Gateway, EC2, ECS/EKS, S3, RDS, and DynamoDB, as well as event-driven architectures using SQS, SNS, and EventBridge. Skilled in infrastructure as code using Terraform and CloudFormation, with a solid understanding of networking (VPC, subnets, security groups) and IAM for fine-grained access control. Proficient in monitoring and observability using CloudWatch and X-Ray, and in implementing CI/CD pipelines through GitHub Actions and AWS-native tools. Balancing performance, reliability, security, and cost optimization.

Early-stage Machine Learning practitioner with foundational knowledge in building and evaluating predictive models using Python and common libraries such as NumPy, pandas, and scikit-learn. Familiar with core concepts including supervised vs. unsupervised learning, model training, validation, and basic feature engineering. Able to work with structured datasets, perform data preprocessing, and implement simple models such as linear regression, decision trees, and clustering algorithms. Beginning to explore model evaluation techniques, hyperparameter tuning, and real-world application of ML workflows.