As a Senior Software Engineer with over a decade of professional experience, I specialize in creating scalable, high-performance platforms that drive business success. My expertise spans full-stack development, system design, cloud integration, and database management, all executed with a commitment to innovation and problem-solving.
Key Achievements:
-> Spearheaded the development of a project ingestion feature that streamlined client communication, reducing mismatches by over 30%, ensuring faster project initiation and completion.
-> Integrated a decade's worth of research into an easily navigable insights library, improving knowledge accessibility for stakeholders by 40%.
-> Coordinated the onboarding and management of a third-party outsourcing team, accelerating feature delivery timelines.
-> Designed a codeless SaaS QA platform that automated mobile testing, reducing testing time and enhancing reliability across app versions.
-> Throughout my career, I have embraced emerging technologies like Generative AI for automation and adopted future-proof strategies to ensure platform stability and responsiveness. At Wonder, I lead initiatives that leverage generative AI for delivering client-centric solutions.
Core Competencies:
-> Full-Stack Development (ReactJS, Ruby on Rails, PostgreSQL)
-> Cloud Solutions (AWS, Heroku)
-> Software Quality Assurance and Automation
-> Collaborative System Design and Future-Ready Architecture
Beyond technical skills, I excel in cross-functional collaboration, aligning diverse stakeholders to deliver impactful results. Passionate about crafting systems that exceed expectations, I am driven by a vision to innovate and elevate the digital experience for users worldwide.
Main achievements:
- Ingest multiple data sources through AI to answer breadth/niche questions
- Developed the project ingestion feature to provide a fluid and diligent communication with the client to clear the path before launching the research project, diminishing mismatches between asks and outcomes
- Integrated the complete research production pipeline into the platform
- Coordinated the onboarding of an outsourcing company to accelerate feature development and managed tasks and expectations among peers
- Collaborated with a third-party SaaS company to create an insights library to locate knowledge acquired through almost 1 decade of research easily.
Responsibilities:
- Platform development
- System design and data structure improvements
- Keep the platform performant, responsive, and stable
- Monitor and support services to keep it online
- Generative AI integration for automation
- Work closely with stakeholders to design the system to be future-proof
- Communication and alignment on proposed solutions
Tech-stack experience:
- platform development: Node.js, TypeScript, React.js; Docker images built via CircleCI and deployed on AWS ECS.
- System design & data structure improvements: PostgreSQL, MongoDB, and Terraform; AWS RDS.
- performance, reliability & stability: Fastly, Sentry & Datadog for monitoring, and AWS SQS for scheduling processes.
- generative AI integration: LLM from different providers to automate research and data ingestion tasks.
- Developing in a full-stack environment a codeless SaaS QA solution to record tests and generate test code; - Manage database schemas and dataflow from the backend to the frontend; - Architect mobile simulators/emulators control microservice - Main technologies used: Angular 11, NodeJS with Express (and NestJS), PostgreSQL, Appium, Bash, Heroku, AWS;