Stack Developer Software Engineer

Huy Nguyen

Senior Full Stack Developer

**************@*****.*** WESTMINSTER, CA Linkedin

Profile

Senior Full Stack Developer with 8 of experience in building scalable applications using Golang and Python. Proficient in creating microservices, RESTful APIs, robust AI-powered and real-time systems. Skilled in cloud platforms like AWS and GCP, as well as using Docker and Kubernetes for containerization. Experienced in implementing testing and CI/CD processes, and integrating message brokers such as Kafka and RabbitMQ. Committed to delivering high-quality software solutions. Skills

Languages: Golang Python JavaScript(ES6+) TypeScript Java C# Frameworks: Gorilla Mux, Gin, Echo Flask FastAPI Reflex React, Next.js Streamlit LangServe Cloud: AWS(EC2, S3, Lambda, RDS, SQS) GCP(Compute Engine, Cloud Functions, Cloud Storage, Kubernates Engine)

DevOps Tools: Docker Kubernates Terraform Jenkins GitLab CI/CD ArgoCD Apache ZooKeeper Monitoring & Logging: Prometheus Grafana ELK Stack(ElasticSearch, Logstash, Kibana) Sentry.io Testing Frameworks: pytest Jest Go testing package(testing, testify) Gingko Database: PostgreSQL MySQL MongoDB Redis DynamoDB Supabase Pinecone Chroma DB ORM/ODMs: Sequelize.js TypeORM GORM Prisma SQLAlchemy LLM: OpenAI Embedding GPT-4 Mistral BERT Knowledge Graph LlaMa Other: Apache Kafka, RabbitMq, BullMQ gRPC Websocket(Centrifugo) Apache Airflow Apache Airbyte Professional Experience

Senior Software Engineer, AppyPie 02/2023 – 01/2025 Westminister, USA

•Spearheaded the development of a highly scalable infrastructure using Golang for microservice architectures, supporting batch processing for over 2 million users and reducing processing time by 50%.

•Integrated Claude and Mistral models to enhance natural language understanding and generation capabilities within the application.

•Implemented a Graph Retrieval-Augmented Generation (GraphRAG) framework using Milvus Vector Database for efficient storage and retrieval of embeddings, improving response accuracy.

•Orchestrated CI/CD pipelines with Terraform and Docker, reducing deployment times by 30% and ensuring smoother version control across environments.

•Implemented caching mechanisms in applications using Redis and Memcache, improving application response time by 40% for frequently accessed data.

•Enhanced application performance by integrating Prometheus for monitoring, leading to a 25% rduction in downtime through proactive issue resolution.

•Participated in the design and implementation of a microservices architecture, enhancing system modularity and facilitating easier horizontal scaling.

Python Developer, Super Cog AI 07/2021 – 02/2023 Orinda, USA

•Implemented an agent dispatcher using RagieAI and service workers with Celery and AWS SQS, enhancing task distribution and operational efficiency.

•Built robust data pipelines with Apache Airflow, Airbyte, and Kafka for streamlined RAG data ingestion, achieving significant performance optimization.

•Designed and implemented a data analytics platform using Python, leveraging Pandas and NumPy for data manipulation and analysis, which accelerated reporting processes and improved decision-making.

•Led the integration of machine learning models within Python applications, successfully deploying models that drove a 15% increase in predictive analysis accuracy.

•Collaborated in the development of a multi-tenant architecture, improving resource utilization and application performance for over 10 different clients.

Full Stack Developer, rStar Technologies 11/2019 – 07/2021 Westmont, USA

•Developed healthcare RAG solutions using Pinecone and Langchain, improving data retrieval and natural language processing, and integrated with FHIR API for data standardization.

•Implemented MLOps practices on Google Cloud Platform, deploying machine learning models with Google Cloud AI Platform, and automating pipelines using Cloud Composer.

•Utilized Google Kubernetes Engine (GKE) for containerization and optimized workflows with Google Cloud Build for continuous integration and deployment.

•Developed comprehensive unit tests for Python applications, achieving 90% test coverage and significantly lowering the frequency of post-deployment issues.

Full Stack Developer, WebITMD 04/2017 – 11/2019 New York City, USA

•Assisted in the development of web applications with Next.js and Python, focusing on backend functionality, which led to a 15% increase in user retention through enhanced features.

•Supported debugging and troubleshooting for production issues, improving response time for critical issues by 50%.

•Collaborated on integrating third-party APIs, expanding functionality in applications built with Python and Golang.

•Attended workshops on cloud development and microservices, enhancing skills in Golang and Python frameworks and their best use cases.

•Architected and implemented a real-time chat application using Golang with WebSocket and gRPC, enhancing user interaction and achieving a 35% increase in user engagement. Internship, TMA Solutions 08/2016 – 04/2017

Ho Chi Minh City, Vietnam

•Integrated the offline Whisper model for speech-to-text functionality using WebAssembly; enhanced accuracy by 15% and improved response times, enabling seamless interactions in applications requiring real-time transcription.

•Designed 4 new user interactive landing pages using React, Next.js, HTML, XHTML, and CSS with web design expertise.

•Translated requirements into responsive web apps utilizing React, Next.js, Electron, MongoDB, Express.js, and Node.js for 22 websites and enhanced using Amazon Web Services, Terraform, CI/CD, Gitlab. Education

British University Vietnam 04/2012 – 05/2016

Ho Chi Minh City, Vietnam

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