
Jonathan
From United States (UTC-10)
21 years of commercial experience
Jonathan – Python, AI, LLM
Senior AI/ML Engineer with 20 years of experience spanning software engineering, project management, data science, and CTO roles. Jonathan brings strong hands-on expertise in Python and full-stack AI development, with a track record of building platforms from the ground up and leading teams of up to 14. He's worked across the spectrum, from Fortune 10 corporations to solo-founder startups, and is currently developing a fully offline LLM system with RAG-based personalization and IoT integration. Problem-solving driven, technically versatile, and confident in both research and production environments.
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Let’s get started today!Experience Highlights
Full-stack Engineer
The project is focused on transforming a private library of WWII classified documentation into a searchable graph and vector database that identifies people, places, and events in 1940s Scandinavia.
- Created a mix of existing libraries and custom algorithms to develop an RAG pipeline for extracting, reconstructing, and storing the information from the archived documents into a set of relational, graph, and vector databases.
- Built a role-based UI with an LLM search assistant (query builder) that searches the databases to return the relevant documents and pages and their related documents.
- Developed a HITL workflow for optimizing the AIs during interactions.
Full-stack Engineer
It's a social network that links Hilo community, focusing on video content, live streaming, and local event production.
- Built and deployed the foundational tech stack within a two-week timeframe.
- Leveraged local events to boost traffic and drive user adoption.
- Currently finalizing the CI/CD pipeline using GitLab, Nomad, Docker, Consul, and Traefik.
Lead Software Engineer
It's a modern ARM platform that integrates with your tools, automates workflows with AI, and delivers real-time insights through an intuitive, always-current interface.
- Took over the project when the previous AI Engineering team left the company.
- Redesigned existing models with optimized objective functions aligned to maximize ROI.
- Spearheaded the transition from AWS to OCI, ensuring a smooth and efficient migration process.
- Directed a team of 9 engineers through a reduction to 5, ensuring continued project success and team cohesion.
Full-stack Engineer
It's a fully offline LLM that I built, which learns from users, incorporates customizable personalities via RAG, and supports household tasks, including IoT device management, calendar, and alerts.
- Engineered a solution to host a 7B-node LLM on outdated hardware.
- Developed and refined four iterations of a custom-built knowledge graph, culminating in a modern RAG system with advanced NLP capabilities.
- Integrated a streaming text-to-vector (T2V) large language model.
- Built an initial version of a custom workflow engine to streamline model and task management.
- Partially completed API orchestration layer to enable seamless integration of additional features.
CTO & Lead Software Engineer
It's an Insurance Hold Manager that used a combination of IVR Navigation, Audio Fingerprinting, and Regression Neural Network models to increase the productivity of our customers (US Healthcare Billing Followup) by 40%.
- Developed original AI models entirely from scratch without relying on frameworks like PyTorch or TensorFlow.
- Designed and implemented the original audio fingerprinting solution entirely from scratch.
- Co-led the startup through its successful acquisition by another company.
- Led teams ranging from 1 to 14 members across various projects.