Vincent Lillis

• Designed and developed AWS serverless applications using Lambda, API Gateway, and DynamoDB, leading to a 40%
reduction in infrastructure costs while enhancing the systems scalability and fault tolerance to handle high traffic more
effectively.
• Architected and built highly scalable microservices with FastAPI and Flask, enabling seamless backend operations and
optimized data processing pipelines, which enhanced the performance of React.js and Angular frontend applications.
• Transitioned from RESTful APIs to GraphQL, improving API efficiency and reducing network payloads, resulting in 30%
faster client-side interactions.
• Integrated AI technologies into backend services using TensorFlow and PyTorch, developing machine learning models
for predictive analytics and improving product feature decision-making.
• Led the development and optimization of CI/CD pipelines with GitHub Actions and AWS CDK, automating deployments
and reducing release times by 70%, thus enhancing team productivity and consistency in production cycles.
• Guided and mentored junior developers through pair programming and code reviews, ensuring adherence to best
practices in code quality, security, and performance.

• Developed and streamlined REST APIs and GraphQL services using Django and Node.js, ensuring low latency, scalable,
and robust systems that supported over 100K users for e-commerce transactions.
• Spearheaded the migration of backend services to AWS, leveraging EC2, S3, RDS, and CloudFront, which improved
uptime and reliability while reducing infrastructure costs.
• Integrated Docker containers with backend services, improving deployment consistency across environments and
enhancing overall application reliability.
• Incorporated machine learning models into the product recommendation system using Scikit-learn and TensorFlow,
boosting platform personalization and improving user engagement.
• Applied security best practices through OAuth2.0, JWT authentication, and AWS security services, safeguarding sensitive
data and maintaining strict security standards.

• Built high-performance React.js and Vue.js applications, utilizing Redux and Vuex for efficient state management, which
boosted app performance and improved user interaction by 40%.
• Established a GraphQL API layer to optimize data fetching, cutting redundant API calls by 50% and improving response
times for users.
• Combined AWS services such as Lambda, CloudFront, and S3, providing a scalable and cost-effective architecture that
could handle an increasing user base.
• Enhanced frontend performance by applying code-splitting and lazy loading, achieving 90+ Lighthouse scores and
delivering faster load times.
• Added AI-driven features, including sentiment analysis using NLP, on user-generated content, increasing user
engagement by 25% and providing valuable insights for product and marketing teams.