William – Python, React, Typescript, experts in Lemon.io

William

From Brazil (UTC-3)flag

Full-stack Web Developer|Middle-to-senior
Front-end Web Developer|Senior
Back-end Web Developer|Middle-to-senior

William – Python, React, Typescript

William is a Full-Stack Engineer with 10+ years of experience across frontend, backend, cloud, and AI-powered products, with strong expertise in React and broader experience with Python, Node.js, React Native, and other technologies. He demonstrates strong product ownership, architectural thinking, and problem-solving skills, with experience delivering real-time and AI-enabled systems involving WebRTC, RAG, and cloud infrastructure. William combines hands-on development with technical leadership and is comfortable owning products end-to-end and working directly with clients and stakeholders.

12 years of commercial experience
Main technologies
Python
7 years
React
9 years
Typescript
8 years
AWS
5 years
Additional skills
LLM
RAG
Golang
Storybook
Redis
Docker
Node.js
Next.js
LangChain
Chat bots
LLM integration
AI agent development
React Native
Direct hire
Possible
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Experience Highlights

Senior Software Engineer
Dec 2023 - Ongoing2 years 7 months
Project Overview

AI-powered educational platform serving thousands of students, providing personalized learning experiences and infrastructure for student progress, assessments, and learning analytics.

Responsibilities:
  • Contributed to the development and scaling of an AI-powered educational platform;
  • Implemented RAG pipelines to improve AI responses with accurate historical context grounded in curated knowledge sources.
Project Tech stack:
LLM
RAG
Senior Software Engineer
Dec 2023 - Ongoing2 years 7 months
Project Overview

Technology and product development studio delivering custom software, AI/ML, data science, and digital product solutions for startups and enterprise clients.

Responsibilities:
  • Developed an AI-powered interactive avatar system for an education client, integrating LLMs and real-time rendering to create engaging learning experiences with historical figures;
  • Built a high-performance API in Go achieving 30+ FPS rendering across multiple resolutions, with advanced lip-sync capabilities and real-time AI response generation;
  • Implemented RAG pipelines to enhance avatar responses with accurate historical context grounded in curated knowledge sources;
  • Optimized the model inference pipeline, reducing latency by 40% through efficient caching strategies and API design.
Project Tech stack:
Golang
LLM
RAG
Team Lead
Aug 2021 - Dec 20232 years 4 months
Project Overview

Health-tech platform enabling health and fitness coaches to manage and scale their online coaching businesses through digital tools, client management, and business automation.

Responsibilities:
  • Led a cross-functional team of 5 engineers and 1 designer to deliver a live-streaming feature for the mobile app, enabling real-time interaction between coaches and clients;
  • Architected and maintained the React Native codebase for iOS and Android, delivering complex features while ensuring performance and a consistent user experience;
  • Led implementation of behavioral pattern recognition and predictive goal-tracking features, including the Tiny Habits framework, rolled out across the full client base;
  • Integrated Google Fit and Apple Health APIs and built data pipelines supporting personalized health insights and recommendations;
  • Partnered with designers to establish a company-wide design system using Storybook, improving development velocity by 30% and ensuring consistent UI/UX across products.
Project Tech stack:
Storybook
React Native
iOS
Android
Senior Software Engineer
Oct 2018 - Jun 20212 years 7 months
Project Overview

AI-focused healthtech company developing clinical and conversational AI solutions, including patient-facing mobile applications, chatbots, and scalable AI-powered services for healthcare and enterprise clients.

Responsibilities:
  • Built a customer-service chatbot for a major automotive company in Brazil, deployed across Facebook, WhatsApp, and web channels;
  • Developed Android and iOS applications for a major Latin American cancer center, supporting patients undergoing immunotherapy treatment;
  • Scaled AI-powered applications to support increasing data volumes and throughput using a microservices architecture;
  • Implemented Redis caching across new and existing services, reducing database load and improving response times;
  • Improved installation and support processes to enable more efficient onboarding of new integration partners.
Project Tech stack:
AI
Android
Docker
Redis
iOS

Education

2018
Biological Sciences
Scientific Research
2018
Computer Engineering
Bachelor's degree

Languages

English
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