Senior Full-Stack Engineer with AWS Cloud Expertise

CUAUHTEMOC FIGUEROA

Senior Full Stack Software Engineer

1-254-***-**** • **********.********.**@*******.*** • Mexico PROFESSIONAL SUMMARY

Senior Full Stack Software Engineer with 8+ years of experience architecting and scaling end-to-end web applications for the financial sector. Deep expertise in building modern front-end interfaces with Vue.js and Angular, and high-performance backend services using

.NET Core and Python. Proven track record delivering cloud-native, containerized solutions on AWS with SQL Server and Docker. Strong focus on API design, performance optimization, and cross-functional collaboration to drive scalable, reliable systems. TECHNICAL SKILLS

Python C# .NET Core Vue.js Vue 3 Angular JavaScript TypeScript RESTful APIs Open API SQL Server PostgreSQL Dynamo DB AWS AWS Lambda AWS S3 AWS EC2 AWS SQS AWS Step Functions Docker Kubernetes CI/CD GitHub Actions Terraform Jest Playwright Vite Vuex Redux Webpack Agile Scrum FastAPI Flask asyncio LLM RAG LangChain MLflow Redis MongoDB Celery OpenCV YOLO MLOps OAuth2 JWT Prometheus CloudWatch

PROFESSIONAL EXPERIENCE

HorizonAI Sep-2023 - Jan-2026

Senior Full Stack Software Engineer

• Architected and led development of a full stack financial intelligence platform using Vue.js for the front-end and .NET Core with Python microservices for the backend, enabling real-time analytics and reducing decision latency by 30 percent through optimized API and UI responsiveness.

• Engineered scalable backend services in C# and Python, employing asynchronous programming and event-driven architectures on AWS with Lambda, SQS, and Step Functions to handle high-volume transaction processing, improving system throughput without additional infrastructure costs.

• Built a Vue 3 and TypeScript front-end with Vuex state management, integrating seamlessly with RESTful open APIs designed in .NET Core, which supported external financial data providers and enhanced cross-platform data accessibility for end users.

• Designed and optimized database schemas and queries in SQL Server and PostgreSQL, implementing caching strategies with Redis to reduce API latency by over 40 percent, directly improving the user experience for data-intensive dashboards.

• Containerized the entire application stack using Docker and orchestrated deployments on AWS ECS, leveraging infrastructure as code with Terraform to ensure consistent, repeatable, and scalable cloud-native deployments across development and production environments.

• Implemented comprehensive automated testing pipelines using Jest for unit tests, Playwright for end-to-end testing, and Vite for fast builds, reducing regression bugs by 25 percent and enabling continuous delivery with GitHub Actions CI/CD.

• Architected agentic AI workflows using LangChain and LlamaIndex within Python backend services to power intelligent document processing and retrieval-augmented generation, significantly enhancing the platform's ability to extract insights from unstructured financial data.

• Led cross-functional collaboration with product and design teams to translate business requirements into technical specifications, delivering full stack features on an Agile cadence that improved user engagement by 35 percent over eight months.

• Reduced infrastructure costs by 20 percent through refactoring monolithic backend services into serverless AWS components and optimizing container resource allocation, while maintaining 99.95 percent uptime through CloudWatch monitoring and auto-scaling policies.

• Mentored three junior developers in .NET Core, Vue.js best practices, and code review processes, raising team velocity by 15 percent and ensuring adherence to secure coding standards including OAuth2 and JWT-based authentication. NexaMind Apr-2020 - Nov-2022

Senior Full Stack Software Engineer

• Developed a full stack AI-driven analytics application using Angular for the front-end and Python with FastAPI for backend services, integrating LLM-based retrieval-augmented generation pipelines to deliver contextual insights for enterprise clients in the financial domain.

• Built and maintained .NET Core microservices that processed real-time data streams, leveraging AWS Kinesis and Lambda to ingest and transform financial market data, reducing processing latency by 50 percent compared to legacy batch systems.

• Designed responsive front-end interfaces with Angular and TypeScript, incorporating Redux-like state management to handle complex user interactions and real-time data visualization, which increased user retention by 20 percent through improved interactivity.

• Optimized API performance by refactoring Python and C# endpoints with asynchronous patterns, database indexing in PostgreSQL, and implementing Redis caching, resulting in a 35 percent reduction in average response time for high-traffic features.

• Containerized the application using Docker and deployed to AWS ECS with Fargate, utilizing Terraform to manage infrastructure, which reduced deployment failures by 40 percent and enabled zero-downtime rolling updates.

• Implemented end-to-end testing strategies using Playwright and Jest within a CI/CD pipeline powered by GitHub Actions, catching regressions early and improving release cadence from bi-weekly to weekly without quality degradation.

• Collaborated with product teams to architect a scalable open API layer in .NET Core, supporting third-party integrations that expanded the platform's ecosystem and drove a 25 percent increase in partnership revenue over six months.

• Led the migration of a legacy monolithic Vue.js application to Vue 3 with Vite and modular architecture, reducing bundle size by 30 percent and improving initial load time by half, directly enhancing user satisfaction scores.

• Applied performance tuning across the full stack, from front-end rendering optimizations to backend query tuning in SQL Server, achieving a 45 percent improvement in page load times and API throughput during peak usage periods. DataForge Systems Nov-2017 - Jan-2020

Full Stack Software Engineer

• Designed and built a full stack data ingestion platform using Vue.js and .NET Core, serving the financial services industry with real-time data validation and transformation pipelines that reduced manual processing time by 60 percent.

• Developed RESTful APIs in C# with ASP.NET Core and Python Flask, integrating with SQL Server databases and Redis caching to support high-concurrency data access for front-end dashboards, achieving sub-200ms latency for 95 percent of requests.

• Created responsive user interfaces with Angular and TypeScript, leveraging Webpack for optimized builds, which provided end users with dynamic reporting tools and reduced client support tickets related to UI performance by 30 percent.

• Optimized database queries and implemented indexing strategies in SQL Server and PostgreSQL, cutting report generation times from minutes to seconds and enabling real-time analytics for business stakeholders.

• Containerized services with Docker and managed deployments using Docker Compose and AWS Elastic Beanstalk, ensuring consistency across development, staging, and production environments while reducing environment setup time by 70 percent.

• Implemented automated unit and integration tests using Jest for front-end components and xUnit for backend services, integrated into a Jenkins CI/CD pipeline, raising code coverage from 60 to 85 percent and catching defects earlier in the development cycle.

• Architected an event-driven backend using AWS SQS and Lambda functions to process asynchronous jobs from the Vue.js front-end, improving system resilience and user experience by preventing timeouts during long-running operations.

• Partnered with design and product teams to refine requirements and deliver full stack features in two-week Agile sprints, consistently meeting release deadlines and receiving recognition for technical excellence from product leadership.

• Migrated on-premise legacy systems to AWS cloud-native architecture using .NET Core and Docker, reducing infrastructure costs by 25 percent and improving scalability to handle seasonal traffic spikes without manual intervention. EDUCATION

Bachelor’s degree

University of Texas at Dallas

2008-2012

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