Experience

Building full-stack platform for blockchain education app gamifying learning through point-based rewards and tokens

Designing scalable NestJS APIs for user progress tracking, achievement systems, and Lisk blockchain reward distribution

Integrating Lisk smart contracts for token rewards with secure wallet connections and transaction monitoring

Building gamification systems with leaderboards, badges, and point-to-token conversion using PostgreSQL and Redis

Transitioned from Front-end QA to Developer within the same engagement, leveraging dual QA-dev background to streamline feature delivery

Developed UI features using React 18, TypeScript 5, and TanStack Table for complex data-driven recruitment workflows

Integrated REST APIs via Axios with Keycloak OIDC/SSO authentication and Zod schema validation

Wrote Cypress E2E and Jest unit tests, significantly improving test coverage across the platform

Operated in a Scrum environment contributing across both QA and development tracks

Built React frontend for Vivo's new B2B fixed-sales e-commerce platform as part of a newly ramped-up squad

Implemented Vivo's proprietary Framework Brasil design system ensuring consistent UI patterns and brand compliance

Integrated React frontend with Node.js BFF layer and Java-based microservices decoupling architecture

Collaborated within a cross-functional squad to deliver scalable e-commerce solutions for Vivo's B2B segment

Developed comprehensive e-hailing platform with React, Node.js, Express, and MongoDB serving thousands daily

Architected RESTful APIs for real-time booking, driver dispatch, fare calculations, and payment processing with 99.9% uptime

Built responsive admin dashboard with React, Tailwind CSS, and Redux for real-time monitoring

Leveraged Google Maps Distance Matrix API with MongoDB geospatial indexes reducing wait times by 45%

Deployed on AWS using EC2, RDS, S3, CloudFront with CI/CD through GitHub Actions

Build enterprise applications using React, Next.js, React Native, Spring Boot, Node.js, and NestJS

Architect AI/ML solutions with AWS Textract, Lambda, and Bedrock for automated document processing

Design RAG systems for USP using LangChain, vector databases, and LLMs for intelligent Q&A

Develop AI interview platform (Laila) for technical assessments across Brazil, Canada, and USA

Build predictive analytics with AWS SageMaker for inventory optimization and demand forecasting

Develop backend microservices with Spring Boot and NestJS implementing REST, GraphQL, and WebSockets

Optimize databases achieving 35% improvement through MongoDB tuning, PostgreSQL indexing, and Redis caching

Deploy on AWS using EC2, S3, Lambda, SageMaker, Bedrock, RDS, DynamoDB, and CloudWatch

Developed internal tools and data processing pipelines using Python, Java Spring Boot, and Node.js

Built RESTful APIs with Spring Boot implementing JPA repositories and authentication

Created React components for internal dashboards improving operational visibility

Designed efficient algorithms handling millions of records daily with optimized performance