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Motivated software engineering postgraduate with hands-on expertise in Generative AI, LLMs, and advanced software engineering. Skilled in Python, Java, C, full-stack development, cloud computing, and scalable architectures. Experienced in prompt engineering, RAG pipelines, and AI system integration, with proven excellence in national-level competitions.

Software Engineer with 5 years of experience specializing in Python development. I excel in designing and maintaining scalable software solutions tailored to diverse client needs. My expertise lies in full-stack development, particularly in backend systems and database management, where I consistently deliver high-quality, optimized code.
I am passionate about leveraging Python's versatility to drive innovation and enhance software engineering practices. As a motivated professional, I have successfully led cross-functional teams to complete projects on time, managing workloads effectively to meet challenging deadlines and quality standards. I also possess a strong understanding of various web technologies, programming languages, and frameworks, enabling me to contribute to all phases of software development.

I’m a Generative AI / ML Engineer and Software Engineer with 4+ years of experience turning complex AI ideas into secure, scalable, production-ready solutions.
I have architected and delivered multi-LLM GenAI platforms, enterprise RAG systems, intelligent chatbots, agentic workflows with memory and tools, AI-powered data-extraction pipelines, and cloud-native backend services.
My technical expertise includes OpenAI, Claude, Gemini, Amazon Bedrock, AgentCore, Azure OpenAI, LangChain, LangGraph, Python, FastAPI, Django, vector databases, AWS, Azure, and GCP.
Beyond building features, I focus on measurable engineering impact—improving retrieval quality, evaluating LLM and GenAI solutions, optimizing latency and cost, strengthening security, and developing reusable production-ready components. I have also optimized large-scale extraction pipelines, reducing unnecessary processing by approximately 27%.
Core strengths:

  Generative AI, Agentic AI, and LLM evaluation
  RAG, semantic search, and vector databases
  LangChain, LangGraph, and AI system design
  Python, FastAPI, Django, and REST APIs
  AWS, Azure, GCP, and cloud-native architecture
  Machine Learning

I’m passionate about bridging the gap between AI innovation and real-world enterprise value by building intelligent products that are reliable, maintainable, and genuinely useful.
Currently serving my notice period (LWD: 30 September 2026) and open to opportunities as a Generative AI Engineer, AI/ML Engineer, AI Engineer, or Senior Software Engineer.

Justin MacIntosh

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Bachelor of Science - Computer Information Science

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