lmarcia

Revamped features and solved bugs issues related to the business. Using tech stack like GCP, NextJS, MongoDB, PostgreSQL, NestJS, Docker and other similar tech related tools. Arranged teamwork sessions in order to solve issues alongside the contractor team from Novacomp from 2 - 3 members each 2 days. Achieved temporal contract in order to provide support for the needed high raises of operations releasing a 35% of bottleneck developer tasks from the customer.

Restructured from scratch in a migration progress a microservice made with PHP-Lumen to FastAPI Python for more robust and convenient tech stack for handling Elasticsearch data using Elasticsearch and Elasticsearch DSL ORM libraries in Python for better dev experience and data modeling in GCP Cloud Run Images improving data flow in a 95%. Reimagined the whole data model concept on the application for better sustainability due to new requirements and necessities for the business model impacting in an improvement of 75% of the application at UX level. Administered applications in Flask for processing payment calculations on subscriptions and Python app for GCP PubSub async messages with robust Pydantic usage as second flow processes. Creation of CI/CD Pipelines based on semantic-release for compilation and deployment for GCP Artifact Registry and Cloud Run services on Python projects.

Revitalized development for internal app for the company for the Quality Assurance within the projects using technologies such as NextJS, tRPC, Turbo in a monorepo project to improve QA assessment and delivery in a 45%. Handled oAuth features and integrations for handling several types of authentication within the project to improve UX in 45% and improving security in 60% by the usage of 2FA in app. Optimized SSR issues by doing troubleshooting and optimization on previous implemented codebase in a 75% reducing many errors in the application from its previous SD Cycle Phase. Enhanced CRM systems for electricity generation facilities using NestJS and Vue/Nuxt, leveraging CQRS model and Event Sourcing to enhance performance, resulting in a 80% reduction in connectivity issues and improved synchronization between mobile and dashboard apps. Produced solutions based of technologies such as AWS, Terraform, Docker, Redis, and MongoDB to enhance application robustness and deployment efficiency in a 50% for previous mentioned customer project as outsourcing. Prepare Terraform plans to automate service configurations for AWS technologies in the context of system environment configurations or updates like AWS Lambda Functions, AWS Cloudwatch, AWS S3 buckets for deliverance of frontend compiled projects and other similar cases.

Upgraded features and fixed bugs issues related to the company application using NodeJS, PostgreSQL, UML 2.x and React.JS data store management optimization knowledge. Refined features and business logic in order to achieve good UX in terms of the finance aspect of the application in payments procedures providing 65% of customer satisfaction. Assessed transformation process to improve and innovate development cycles and application of good practices through software architecture modeling and development guidelines.

Architected projects for Laboratory System in the management of exam results using React, Django-DRF and AWS reducing in a 85% the bottlenecks in the customers’ company. Spearheaded technology strategies, driving innovation and supporting business objectives in a startup environment through AWS services like S3, RDS, CloudFlare, Lambda Functions. Designed several test cases through Django DRF testing library and Jest for both backend and frontend application to guarantee a 88% accuracy in the data handled by the user. Creation of several features related to dynamic formularies for Laboratory System using RTK Query and Django REST Framework data manipulation. AWS SQS manipulation for async procedures on reports related to the exam results of the patients and OTP Procedures for downloading requests from patients. Security strategies and backup procedures using AWS RDS with PostgreSQL latest version configurations. Automation for CI/CD using Zappa for Django DRF project to work serverless with AWS Lambda Function and HTML Compilations on React frontend project at a S3 Bucket and CloudFront configurations for accessibility for users.