Dasun A.

Looking to build a reliable Generative AI application, RAG system, or AI-powered workflow that can be integrated into your existing product? I help businesses design and develop production-ready Generative AI solutions using Large Language Models, Retrieval-Augmented Generation, AI agents, intelligent automation, and scalable backend systems. I am a Top Rated Plus software engineer with more than six years of backend development experience and over 4,100 hours completed on Upwork. My engineering background includes Java, Spring Boot, microservices, REST APIs, databases, cloud infrastructure, distributed systems, and production application development. I now combine that backend engineering experience with Generative AI to build practical, secure, maintainable, and scalable AI applications. My core areas of focus include: • Generative AI application development • Retrieval-Augmented Generation systems • LLM-powered chatbots and knowledge assistants • AI agents and tool-calling workflows • Multi-step agentic AI systems • Document ingestion, embeddings, and semantic search • Structured outputs and LLM API integration • AI workflow automation • Prompt engineering and context management • Python-based AI services and APIs • Java and Spring Boot AI integration • Vector databases and hybrid retrieval • AI evaluation, guardrails, and observability • Docker, AWS, databases, and production deployment I can help you build: • RAG assistants that answer questions using private business documents • Generative AI features for existing web or enterprise applications • AI agents that interact with APIs, databases, and external tools • Intelligent document processing and information extraction systems • Customer support and internal knowledge assistants • AI-powered search and recommendation experiences • Automated workflows with human approval and escalation • Backend APIs for LLM-powered products • Secure integrations between AI services and Java microservices My advantage is that I do not approach Generative AI as an isolated prototype. I understand how AI features must connect with authentication, APIs, databases, business rules, logging, monitoring, security, and existing enterprise systems. I am also studying for a Master of Artificial Intelligence at Curtin University, strengthening my knowledge of machine learning, probabilistic modelling, planning, uncertainty, and intelligent systems. My approach is simple: understand the business problem, select the appropriate AI architecture, build a reliable solution, evaluate its behaviour, and prepare it for real-world use. Send me your requirements, existing architecture, data sources, and expected outcome. I will help you determine the most practical Generative AI solution for your project. Thanks & Regards, Dasun.