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Jonathan – Python, AI, LLM, experts in Lemon.io

Jonathan

From United States (UTC-10)

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AI EngineerSenior
Tech lead
21 years of commercial experience
AI
Fintech
Healthcare
Healthtech
Social media
Video streaming software

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.

Main technologies
Python
7 years
AI
11 years
LLM
0.7 year
Additional skills
PyTorch
RAG
.NET
JavaScript
CSS
Microsoft SQL Server
HTML
API
LLaMA
Jenkins
Oracle
AWS
Kubernetes
PostgreSQL
DevExpress
Direct hire
Possible
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Experience Highlights

Full-stack Engineer
Feb 2025 - Ongoing4 months
Project Overview

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.

Responsibilities:
  • 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.
Project Tech stack:
PyTorch
.NET
RAG
LLM
Full-stack Engineer
Feb 2025 - Ongoing4 months
Project Overview

It's a social network that links Hilo community, focusing on video content, live streaming, and local event production.

Responsibilities:
  • 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.
Project Tech stack:
HTML
JavaScript
CSS
Python
Microsoft SQL Server
Lead Software Engineer
Oct 2024 - Ongoing8 months
Project Overview

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.

Responsibilities:
  • 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.
Project Tech stack:
PyTorch
Python
PostgreSQL
AWS
Kubernetes
Jenkins
Oracle
Full-stack Engineer
Oct 2024 - Ongoing8 months
Project Overview

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.

Responsibilities:
  • 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.
Project Tech stack:
PyTorch
HTML
JavaScript
CSS
LLaMA
RAG
API
CTO & Lead Software Engineer
Feb 2016 - Feb 20259 years
Project Overview

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%.

Responsibilities:
  • 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.
Project Tech stack:
.NET
Microsoft SQL Server
DevExpress

Education

2021
Computer Science / AI & Evolutionary Computation
Masters of Computer Science

Languages

English
Advanced

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