Naqib Hossain
Senior Java Full Stack Developer | Generative AI Engineer | Green Card holder | Open to Remote Only | Spring Boot | Microservice | Rest API | Angular | AWS | Node.js | Python | FastAPI
- Role
- Senior Full Stack Gen Ai Engineer at GSA
- Location
- Princeton, TX, US
- LinkedIn followers
- 500 followers
About Naqib Hossain
Over 12+ years of diversified and progressively challenging experience as a software developer building object-oriented and Web-based enterprise applications.• 8+ years of extensive experience in designing and developing multi-tier enterprise solutions using J2EE technologies such as Spring Boot, Spring core, Spring MVC, Spring Microservices, Restful APIs, Hibernate Framework, Apache Kafka, Groovy on Grails Web services, JSON, Bootstrap, CSS, and HTML.• Utilized Grafana, Swagger, and Splunk to inspect and analyze the performance of services.• Implemented unit test using Spock, feature test using Selenium, and performance test using Gatling to achieve service accuracy.• Extensive experience in Front-End UI technologies like HTML, CSS (using SASS and LESS), Bootstrap like JavaScript/Typescript, ES6 in developing dynamic and responsive web pages. • Experience developing Angular features such as interfaces, nested components, services, routing, and modules, and also writing unit tests using the Jasmine framework and Karma.• Experienced with Relational databases like MySQL, Oracle, SQL Server, PostgreSQL, and No SQL databases like MongoDB.• Experience in writing complex SQL Queries, Stored Procedures, Triggers, Cursors, and Functions. • 1 year of extensive experience in designing and developing multi-tier enterprise solutions using Ruby technologies such as Ruby on Rails, JavaScript, Restful Web Services, JSON, Bootstrap, React, CSS, and HTML.• 1 year of extensive experience in designing and developing multi-tier enterprise solutions using C# technologies such as ASP.NET, Entity, Restful Web services, JavaScript, Web services, JSON, Bootstrap, CSS, and HTML. • 4 years of extensive experience in designing and developing multi-tier enterprise solutions using PHP technologies such as Laravel, CodeIgniter, and Yii Frameworks, JavaScript, Web services, JSON, Bootstrap, CSS, and HTML. • Experienced in building applications using Maven and Gradle build tools.• Extensive hands-on experience in Git, Jira, Rally, and setting up CD/CI pipelines using Jenkins.
Experience
Senior Full Stack Gen Ai Engineer
Sep 2024 — Present
Developed and maintained numerous new and old features in GSA legacy applications and slowly disintegrated them into smaller microservices to achieve modernization, independence, and scalability. • Configured and managed KeyCloak realms, clients, roles, and users to support multi-tenant architectures.• Implemented OAuth 2.0 and OpenID Connect protocols using KeyCloak to manage authentication and authorization flows in a microservices architecture.• Collaborated with cross-functional teams to implement front-end components using Angular components, services, Routing & navigation, NgRX, Observables, unit tests with Jasmine framework & karma, and TypeScript, integrating them with back-end services for an optimal user experience in betting applications.• Build a Node.js API using the Express framework to communicate among internal applications, along with unit tests using Node’s native test runner. • Developed an automated monthly report generation system with Large Language Models (OpenAI GPT, LangChain) to generate narrative summaries and distribute them through email API (SMTP, Python) pipelines, reducing manual effort by 80% using Python, SQL, LangChain, OpenAI API, Pandas, SMTP/Email API• Built a multi-turn chatbot capable of understanding follow-up queries and guiding users through application steps using RAG (Retrieval-Augmented Generation) and memory-based conversation flow also implemented backend logic using FastAPI / Node.js, Pinecone / FAISS for vector storage, and OpenAI GPT / Llama models for reasoning using LangChain, FastAPI, FAISS/Pinecone, OpenAI API, JSON schema, Conversation Memory• Enhanced chatbot UX by implementing auto-completion and FAQ-style prompt formatting using Hugging Face BART and transformers-based NLP pipelines and improved response relevance by 25% through prompt engineering and dynamic context injection using Hugging Face Transformers (BART), Python, NLTK, LangChain, Prompt Engineering.
Education
North Dakota State University
Master's degree, Computer Software Engineering
2016 — 2017
American International University-Bangladesh
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering
2007 — 2011
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.