Ai Engineer Full-Stack

Anthony Vuong Nguyen

Senior Full Stack AI Engineer

**************@*****.*** +1 (484) 298 - 9756 Florida, United States SUMMARY

Full Stack & AI Engineer with 11+ years of experience in building end-to-end solutions, combining full-stack development with AI-driven systems. I specialize in designing scalable web applications, intelligent data pipelines, and efficient cloud infrastructure. My expertise spans building full-stack applications using technologies like React, Node.js, TypeScript, and Python, while integrating advanced AI models for personalization, prediction, and decision-making. I have a strong background in developing scalable ETL pipelines, model training and deployment, and ensuring seamless integration of AI components into production environments. I focus on delivering scalable, efficient, and impactful solutions across cloud platforms like AWS and Google Cloud, with a passion for both backend and frontend technologies. EXPERIENCE

RoadRunner AI – Senior Full Stack AI Engineer & Founding Engineer Aug 2024 – Present

All-in-one platform that helps researchers go from idea to output — faster.

Led the design and implementation of a highly scalable AI-driven platform for automating research workflows using Next.js, Nest.js, Python/FastAPI. Developed systems using NLP models (BERT, GPT-4) for semantic search across major biomedical databases, improving research discovery efficiency by 40%.

Integrated key external data resources such as PubMed, HealthData.gov, and Semantic Scholar to enrich the research process. Developed periodic cron jobs to fetch updated datasets and research papers from these sources, ensuring real-time data availability and enhancing system accuracy.

Implemented Google Custom Web Search API and built custom scrapers to collect relevant healthcare data from Google search results. This feature enabled fetching the latest articles, papers, and healthcare-related content to provide up-to-date information to platform users.

Developed a robust AI-powered research assistant using OpenAI GPT for generating summaries and recommendations based on user queries. Integrated with a powerful RAG (retrieval-augmented generation) pipeline, utilizing Pinecone (with 300M+ biomedical and healthcare vectors), OpenAI GPT, and text-embedding-small-3, enabling context-aware and accurate responses.

Leveraged Pinecone for storing dense vector embeddings of scientific papers and healthcare data, allowing efficient similarity searches and relevance scoring. Integrated this with LangChain for building sophisticated AI workflows that enable highly accurate document retrieval and synthesis.

Designed and implemented a powerful relevance scoring and ranking system using a combination of dense vectors, NLP, and custom ranking algorithms to prioritize the most relevant and recent research data. Improved user query satisfaction by delivering highly personalized and precise search results.

Developed a memory-based system to enhance user experience, implementing a Memory DB to store user preferences and learning patterns. This allowed the system to generate personalized answers based on historical interactions and ongoing queries, optimizing the relevance of the results.

Set up a subscription model with Stripe, implemented team workspaces for collaborative research, and integrated an AI-powered chatbot using LangChain and GPT for user support, reducing response times by 35%.

Managed cloud infrastructure with AWS (EC2, Lambda, S3, RDS), Docker, Kubernetes, and Terraform, automating deployments and scaling for high availability.

Deel – Senior Software Engineer (Full Stack & AI)

Sep 2023 – Jul 2024

All-in-one platform for managing international workforce operations, including hiring, onboarding, payroll, and compliance, leveraging AI for workflow automation.

Built and deployed scalable web applications using TypeScript, Next.js, and Node.js, ensuring high performance and smooth user experience for HR, finance, and legal departments. Integrated real-time functionality with React for dynamic and responsive UI.

Built and deployed serverless applications using AWS Lambda, FastAPI, Python, and PostgreSQL, optimizing internal processes for onboarding, compliance, and payroll. Integrated LangChain and Pinecone to implement retrieval-augmented generation (RAG) for smarter decision-making in HRIS systems.

Designed and implemented ETL pipelines to process large datasets using Python and AWS Glue, integrating with Snowflake for scalable and secure data storage and analysis. Improved data processing efficiency by 40%, enabling better business insights.

Leveraged OpenAI GPT for intelligent document parsing and process automation, improving data evaluation accuracy by 30% and significantly reducing manual efforts in HR and finance workflows.

Developed a robust event-driven notification system using AWS Lambda, SNS, and SQS to automate real-time alerts for HR, legal, and finance departments, enhancing operational response times by 35%.

Created and deployed AI chatbots with React, TypeScript and Express.js for real-time customer support, reducing query response time by 35% and improving user experience across HR, legal, and finance departments.

Streamlined CI/CD pipelines with GitHub Actions, Jenkins, Docker, and Kubernetes, accelerating deployment cycles by 30%. Managed cloud infrastructure using AWS (EC2, RDS, Lambda, DynamoDB, CloudFront), ensuring high availability and scalability of applications.

Led a team of 3 LLM engineers, providing mentorship and guidance in AI model fine-tuning, RAG systems, and the integration of AI components into full-stack applications, enhancing cross-functional collaboration. Google – Data & ML Engineer

Mar 2021 – Aug 2023

American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing.

Led the development of a scalable Learning Management System (LMS) for 100M+ users, leveraging AI models to enhance user engagement and streamline content delivery.

Developed an LLM-powered RAG-based system using Gemini, LangChain, and Vertex AI to provide context-aware answers, increasing learner engagement by 40%.

Processed 50M+ daily events using PySpark and Airflow to train and update models in real-time, ensuring a seamless learning experience.

Migrated 500M+ records to SpannerDB, reducing data retrieval latency by 30%.

Ensured high system reliability (99.9%) with robust dead-letter queue implementations and other error-handling techniques.

Deployed and managed cloud architecture at scale using Kubernetes (Borg), reducing operational costs and downtime.

Innotax Tech LLC – Senior Software Engineer (Consultant) Sep 2018 – Jan 2021

Software consulting company with focus on consulting, technology, outsourcing and next-generation services.

Delivered end-to-end web and mobile applications for clients across industries including finance, healthcare, and e-commerce. Built responsive and scalable UIs using React, Next.js, and TypeScript for web applications, and React Native for cross-platform mobile development.

Integrated AI-based features into various applications, including NLP-powered chatbots and predictive analytics tools, leveraging Python, Flask, and TensorFlow for developing intelligent systems that improved customer engagement and decision-making.

Developed full-stack applications for clients in the financial and healthcare sectors. For one project, built a secure, HIPAA-compliant web application for managing patient data using React, Node.js, Express, PostgreSQL, and AWS services (EC2, S3, RDS), enabling streamlined data access and reporting for medical staff.

Led the development of an e-commerce platform for a client in the retail industry, utilizing TypeScript, Node.js, and GraphQL to build robust backend services. Integrated Stripe for secure payment processing and React for a rich, interactive frontend, improving transaction speed and user satisfaction.

Built a cross-platform mobile application using React Native and Node.js, which provided users with real-time access to marketplace data. Integrated push notifications via AWS SNS and built an intuitive UI/UX for better user engagement.

Developed ETL pipelines using Python and AWS Lambda to automate data collection, cleansing, and processing. Created a data visualization dashboard with D3.js and React for a healthcare client, enabling easy analysis of patient metrics.

Set up CI/CD pipelines using GitHub Actions, Jenkins, and Docker to automate deployment processes. Leveraged AWS

(EC2, RDS, Lambda, S3) for scalable infrastructure, ensuring high availability and reliable system performance across different environments.

OVP Health – Senior Software Engineer

Feb 2016 – Aug 2018

Multi-faceted, physician-owned company that provides an extensive range of emergency department and hospitalist staffing and management.

Led the development of OVP Health's telemedicine platform, which integrates with the TytoCare app for virtual appointments. Built the frontend using React and TypeScript, creating a seamless, user-friendly interface for scheduling and conducting telemedicine visits on both iOS and Android.

Developed and maintained the mobile application (iOS/Android) using React Native, enabling patients to access telemedicine services, conduct virtual visits, and securely manage health data. Integrated features like real-time video streaming, push notifications, and scheduling systems to enhance the user experience.

Utilized Vue.js and Vue Material for building dynamic internal tools, such as patient tracking and appointment scheduling systems, improving the efficiency of healthcare providers and reducing patient wait times.

Developed backend services with Node.js and Express to integrate third-party healthcare APIs, enabling real-time patient data synchronization and appointment management. Leveraged GraphQL for more efficient data fetching and reducing response times across the platform.

Set up CI/CD pipelines using Jenkins and Docker for automated deployments. Hosted services on AWS (EC2, S3, Lambda) to ensure scalability and high availability for telemedicine services, improving system reliability. Florida International University – Graduate Assistant Jan 2015 – Feb 2016

Assisted in teaching Java, OOP, Data Structures, and Spring Boot to graduate students, helping them build strong programming foundations.

Developed Spring Boot microservices and APIs, optimizing backend performance and scalability.

Collaborated on Agile projects, ensuring clean code practices and efficient documentation for future maintenance. EDUCATION

Florida International University: Bachelor of Computer Science Sep 2010 – Oct 2014

SKILLS

React, React Native, Next.js, Vue.js, TypeScript, JavaScript (ES6+), HTML5, CSS3, Tailwind CSS, D3.js, Node.js, Express.js, Python (Flask, Django, FastAPI), GraphQL, REST APIs, Android (Java, Kotlin), Git, GitHub, GitLab, Bitbucket, AWS (EC2, Lambda, S3, RDS, DynamoDB, CloudFront), GCP (Vertex AI, Pub/Sub, SpannerDB), Jenkins, GitHub Actions, CircleCI, Docker, Kubernetes, Terraform, AWS CloudWatch, Prometheus, Grafana, Datadog, OpenAI GPT, Pinecone, LangChain, BERT, TensorFlow, PyTorch, PySpark, Pandas, Numpy, TensorFlow Serving, PostgreSQL, MySQL, Aurora, MongoDB, DynamoDB, Redis, Pinecone, Apache Airflow, AWS Glue, S3, Redshift, Snowflake, BigQuery, Stripe, Jest, Mocha, PyTest, Cypress, TDD, BDD, JIRA, Trello, Asana.

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