
Chuong Ngo
Verified Expert in Engineering
Artificial Intelligence (AI) Developer
Chelsea, MA, United States
Toptal member since May 25, 2026
Chuong is a senior engineer and AI architect with nearly 15 years of experience building mission-critical software where reliability is non-negotiable. A former Amazon Alexa engineer, his track record includes building a CMS system that cut healthcare appeals by 94%, boosting GovWorx AI transcription accuracy by over 50% for emergency dialects, and reducing Amazon Alexa's error rate by 16%. Skilled at responsible engineering, Chuong delivers high-stakes systems that perform when it matters most.
Portfolio
Experience
- Natural Language Processing (NLP) - 12 years
- Artificial Intelligence (AI) - 12 years
- Python 3 - 10 years
- Prototyping - 5 years
- React - 5 years
- Node.js - 5 years
- TypeScript - 5 years
- Functional Programming - 4 years
Preferred Environment
Linux, React, Node.js, Kotlin, Python 3, Artificial Intelligence (AI), Natural Language Processing (NLP)
The most amazing...
...achievement has been building the GovWorx AI, increasing slang transcription accuracy by over 50% for emergency calls while keeping LLMs hallucination-free.
Work Experience
Senior AI Researcher
GovWorx
- Drove specialized AI development for automatic speech recognition (ASR) of slang-heavy emergency responder dialects, improving transcription accuracy by 49%.
- Optimized real-time AI call processing and AI resource allocation, increasing accuracy by 32% while constraining computational load.
- Spearheaded the development of a market-leading AI transcription engine for high-value dispatch calls, delivering a +50% gain in accuracy.
- Overhauled a responder identification system for emergency calls, resulting in a 42% increase in speaker-attribution reliability.
- Architected a responsible AI framework for LLM usage and mitigated hallucination risk for high-precision workflows.
Senior Full-stack Developer
eSimplicity
- Modernized core CMS architecture via Next.js and Vite migrations, neutralizing 10+ critical security flaws and achieving Section 508 and HCD compliance.
- Engineered a cross-functional data-access layer and upgraded the Python/PostgreSQL pipeline, slashing sharing lifecycles 90%+ from weeks to minutes.
- Architected a unified tenant-management framework and self-service RBAC gateway, neutralizing cross-org conflicts and cutting MTTR by 80%.
- Restored mission-critical authentication flows during an emergency outage, re-establishing service for all CMS organizations and abolishing legacy auth caps.
- Streamlined the engineering onboarding pipeline and codified operational workflows, accelerating team ramp-up by 300% and condensing on-call readiness.
- Delivered high-demand CMS features within the modern Next.js framework, optimizing content authoring efficiency and safeguarding mission-critical systems.
- Liquidated legacy technical debt and preempted mission-critical failures by eliminating obsolete authorization caps across enterprise systems.
- Automated end-to-end enterprise RBAC via a self-service gateway, entirely removing developer bottlenecks and streamlining access provisioning.
- Restored continuous operations by orchestrating an emergency recovery of the authentication flow, rapidly bringing all CMS organizations back online.
- Codified operational workflows and streamlined the onboarding pipeline, driving an 80% reduction in MTTR and a 300% boost in ramp-up speed.
Senior Full-stack Developer
Vivid Health
- Built an LLM-powered medical transcription and insight generator with Node.js and Angular 2, equipping health workers with essential insights and dramatically elevating patient care quality.
- Created an AI-powered voice agent for healthcare debriefing with Node.js, simplifying healthcare administration and allowing healthcare workers to focus on providing excellent patient care.
- Streamlined deployment of complex microservices SaaS with Terraform, Docker, GitHub Actions, and AWS, enabling effortless multi-environment compute setups.
Senior Full-stack Developer
Fearless Technologies
- Oversaw an Agile development team through rapid project development, overcoming significant challenges.
- Mentored fellow developers and site reliability engineers (SREs) through fast-paced product development.
- Created a React responsive web app and RESTful Express.js, Node.js back-end systems, both built with JavaScript and TypeScript, reducing appeals process duration by up to 94%.
- Designed and built a proof-of-concept React responsive web app and RESTful Express.js, Node.js back end, both written in JavaScript and TypeScript, that secured the pivotal contract.
- Created the CI/CD pipelines with the SRE using Jenkins, GitHub, and Artifactory, and ensured the continuous availability of production systems.
- Built comprehensive and autonomous API validation systems with Jenkins and Postman, ensuring no production downtime and facilitating high-speed development.
- Developed a unified back-end API backplane in Go and guaranteed seamless system interoperability despite evolving dependencies.
- Architected a robust data storage system to safeguard sensitive data with Amazon DynamoDB, preventing disastrous data leaks.
- Built the AWS environments with the SRE, leveraging Lambda, DynamoDB, EKS, API Gateway, and Artifactory.
Senior Machine Learning Engineer
Constellation Network
- Engineered a trust-based security mechanism for a big data blockchain using Scala and Cats Effect, implementing Proof of Reputable Observation (PRO) to validate network integrity.
- Designed and built a novel mechanism to detect data integrity failures to inhibit the spread of misinformation with Scala and Cats Effect.
- Created and architected a novel mechanism to detect compromised nodes and counter network contagions with Scala and Cats Effect.
- Constructed sophisticated distributed systems security validation scenarios with GitHub Actions, enabling early detection of security vulnerabilities.
Senior Software Engineer
Amazon Alexa
- Improved the sentence error rate of tokenization, normalization, and segmentation models by 16%.
- Modernized Python AI models and fixed bugs, significantly impacting Alexa's accuracy.
- Enriched Java services and C++ libraries for Alexa's NLP models, improving performance and streamlining new customer acquisition.
- Rectified security vulnerabilities in the C++ AI library, enhancing product stability and security.
Lead Software Development Engineer
Woobo, Inc.
- Increased the speed of Python data processing systems by 150%.
- Optimized SQL (MySQL) and NoSQL (MongoDB) databases, improving back-end speed and database availability.
- Improved the accuracy of natural language processing systems built with Python that powered Woobo's product by 25%.
- Enhanced Woobo's product with natural language understanding systems built with Python, enabling them to deal with non-standard speech and improving accuracy by 25%.
- Simplified systems scaling by instituting a robust microservices architecture with Docker and AWS.
- Created an intuitive distributed systems deployment process and management dashboard with Nginx, Consul, Docker, AWS, and Linux Shell scripts.
- Instituted centralized configuration management and propagation system with Redis and Docker.
- Guided the development of Woobo's iOS and Android companion apps.
- Developed a content recommendation engine with Python and Elasticsearch, enabling user-targeted content discovery.
- Instituted rigorous testing procedures and created an automated quality assurance system, accelerating development while ensuring code quality.
Experience
Specialized ASR Engineering
Beyond core transcription, I optimized real-time resource allocation to boost processing accuracy by 32% while maintaining strict computational constraints. My work includes overhauling speaker-attribution systems, increasing reliability by 42%, and establishing a responsible AI framework to eliminate hallucination risks. These interventions transformed raw, complex audio into a high-utility asset for mission-critical workflows.
Supercharged Health Data Discovery
Moreover, I transformed health data discovery with the QDAS Portal. The Portal's modern interface and refined user experience enable healthcare officials to quickly and effortlessly locate the critical information they need to perform their jobs efficiently.
Amazon Alexa's AI Models Modernization
Empowering Healthcare Workers with AI
I also created an AI-powered voice agent for healthcare debriefings. The solution enabled healthcare workers to focus on providing excellent patient care by simplifying administrative tasks.
Enhancing Big Data Blockchain with Novel Trust-based Security
Streamlining Marketplace Health Insurance Appeal Requests
Brought Woobo to Life
CMS Research Data Gateway: Secure Access at Scale
By migrating the core architecture to Next.js, React, Vite, and Mantine UI, I eliminated 10+ critical security vulnerabilities and met strict Section 508 and HCD compliance standards. To untangle data governance, I built a self-service RBAC gateway, upgraded the Python and PostgreSQL natural language analysis pipeline, and designed a unified tenant management framework. That shift completely changed the game: data-sharing lifecycles plummeted by over 90%, dropping approval and access times from weeks to mere minutes.
Beyond feature delivery, I locked down system reliability. When emergency outages struck, I orchestrated rapid service restoration, abolished obsolete auth caps, and codified operational workflows. Those fixes didn't just stabilize the platform—they drove an 80% reduction in MTTR, condensing days of troubleshooting into hours, and accelerated developer onboarding by 300%.
Education
Master's Degree in Computer Science
College of William and Mary - Williamsburg, VA, USA
Bachelor's Degree in Computer Engineering
Wright State University - Fairborn, OH, USA
Skills
Libraries/APIs
React, Node.js, Mypy, NumPy, PyTorch, RxJS, Pandas
Tools
Artifactory, Jenkins, Postman, Whisper, Terraform, NGINX, Git
Languages
Python 3, TypeScript, Python, Kotlin, PyPy, Java, Go, Scala, C++, Embedded C, JavaScript
Frameworks
Angular, Express.js, NestJS, Fastify, Next.js
Paradigms
Functional Programming, Microservices, REST, HL7 FHIR Standard
Platforms
Linux, Amazon Web Services (AWS), Jupyter Notebook, NVIDIA NeMo, Docker
Storage
MongoDB, Amazon DynamoDB, PostgreSQL, Redis, MySQL
Other
Artificial Intelligence (AI), Prototyping, Software Engineering, Natural Language Processing (NLP), Research, Automatic Speech Recognition (ASR), Machine Learning, LLVM, Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), Librosa, Acoustics, Agentic AI, GitHub Actions, Consul, WebSockets, Microcontrollers, Vite, Full-stack
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