ATLAS Learn — Multilingual AI Tutor
Next priority
Title: AI-Powered Learning Platform | RAG & Multilingual AI
Showcase curriculum-grounded AI tutoring, multilingual support, React, Spring Boot, and LLM integration.
Skills: AI Development, Full-Stack Development, Software Architecture
Tools: Java, React, PostgreSQL
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Enterprise Microservices & Cloud Architecture
Title: Scalable Enterprise Backend | Java & Microservices
Highlight your experience with enterprise backend engineering, Spring Boot, REST APIs, AWS, and scalable application architecture.
Skills: Backend Development, Software Architecture, Cloud Computing
Tools: Java, Spring Boot, AWS
This should be based on a specific project you can legitimately showcase, rather than a generic architecture presented as completed client work.
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AI-Ready Browser Testing Automation Framework
Title: Automated Browser Testing | Python & Playwright
Showcase your Neural Works QA Agent development: reusable browser tools, navigation security, screenshots, evidence collection, and automated tests.
Skills: Test Automation, Python Development, Quality Assurance
Tools: Python, Playwright, Pytest
Present this as an evolving engineering project, not a completed autonomous AI agent.
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Designed and developed an enterprise AI knowledge platform using Java, Spring Boot, Spring AI, React, and PostgreSQL with PGVector.
The platform enables organizations to upload documents, perform semantic searches, and ask natural-language questions against their own knowledge bases using Retrieval-Augmented Generation (RAG).
Key capabilities
Document ingestion and vector embedding generation
Context-aware AI answers grounded in retrieved documents
Source citations for transparency and verification
Secure authentication using Keycloak
Multi-tenant data isolation
Integration with local and cloud-hosted LLMs
REST APIs, observability, and automated testing
Technology stack: Java 17, Spring Boot, Spring AI, React, TypeScript, PostgreSQL, PGVector, Keycloak, Ollama, OpenAI, and AWS.
My role: Solution Architecture, AI Engineering, Backend Development, and Technical Leadership.
This project demonstrates how businesses can transform fragmented documents into searchable, AI-powered organizational knowledge while maintaining security, scalability, and control over their data.
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