Hi, I’m Jonathan Mukhobe

AI and ML Engineer

I build systems where a language model is one component among several: LangGraph agents with tool use and memory, retrieval pipelines on Qdrant, protocol-based tooling on MCP, and the FastAPI and React applications that put them in front of people.

Most of what I know is in the case studies. Kylie started as a WhatsApp agent with hand-wired tools and became an MCP-based system whose capabilities are discovered at runtime and traced end to end in Opik; Qdrant featured the original build. The Visual Document Understanding Pipeline turns PDFs and photos into clean Markdown: a layout model finds each region, Qwen3.5-4B on vLLM reads it, the GPU pools scale to zero, and an MCP server lets Claude read documents too.

Jonathan Mukhobe, AI and ML Engineer

What I do best

  • Automation

    Workflow automation that takes repetitive work off people: agents and pipelines that run on events or schedules, move data between the tools a team already uses, and recover from failures on their own, with queues, retries and monitoring built in.

    • Events and schedules
    • Queues
    • Retries
    • Monitoring
  • AI/ML Engineering & AI Agents

    Designing and deploying production-grade ML pipelines, autonomous AI agents, and LLM-powered systems. From LangGraph orchestration to vector memory and multi-modal processing, built for scale and reliability.

    • ML pipelines
    • LangGraph
    • Vector memory
    • Multi-modal
  • LLM Fine-tuning

    Adapting foundation models to specialised domains using supervised fine-tuning, RLHF, and parameter-efficient techniques (LoRA / QLoRA). Resulting in sharper, task-specific models that outperform general-purpose prompting.

    • SFT
    • RLHF
    • LoRA
    • QLoRA
  • Full Stack Engineering

    End-to-end product development from database design through REST APIs to polished React interfaces, delivered with performance, accessibility, and CI/CD built in from day one.

    • Databases
    • REST APIs
    • React
    • CI/CD

My Tech Stack

  • Programming

    3 tools

    • Python
    • JavaScript
    • TypeScript
  • AI tools and frameworks

    6 tools

    • LangChain
    • LangGraph
    • CrewAI
    • LangSmith
    • MCP
    • vLLM
  • Databases

    4 tools

    • PostgreSQL
    • MySQL
    • Qdrant
    • Redis
  • Backend

    2 tools

    • Django
    • FastAPI
  • Frontend

    3 tools

    • React
    • TypeScript
    • Tailwind CSS
  • DevOps

    3 tools

    • GitHub Actions
    • Docker
    • Grafana

Co-founded

Company I co-founded

PureNest360 Technologies and Real Estate logo

Co-Founder and Chief Technology Officer

PureNest360 Technologies and Real Estate

I co-founded PureNest360 and lead platform architecture, AI systems design and long-term technical strategy. I architected the real estate platform for the East African market and built both the technology and real estate web applications.

  • Kampala, Uganda
  • Founded 2025

Experience

Where I have worked

  1. May 2026 to present Kampala, Uganda Hybrid

    AI Engineer, Bright Labs, Bright Illuminated Thought Services

    • Develop and maintain in-house web platforms with AI integration, including the company flagship websites, for performance, responsiveness and brand consistency.
    • Build and deliver custom websites and full-stack web and AI applications for external clients, from requirements and wireframing through deployment and post-launch support.
    • Architect frontend interfaces in React and TypeScript with REST API integration for data-driven client solutions.
    • Run code reviews, performance audits and browser and device compatibility testing across delivered products.
  2. Feb 2026 to present Kigali, Rwanda Remote

    Lead Software and AI Engineer, Avenir Governance Advisory

    • Technical lead for the Innovation and Technology pillar, architecting the AI solutions behind the advisory blueprint.
    • Design and deploy autonomous AI agents and custom LLM workflows for organisational efficiency and decision support.
    • Build retrieval augmented generation systems and vector databases that turn institutional knowledge into searchable intelligence.
    • Implement CI/CD pipelines and MLOps workflows so AI deployments are scalable, secure and maintainable.
  3. Aug 2025 to present Kampala, Uganda On-site

    Co-Founder and Chief Technology Officer, PureNest360 Tech and Real Estate Company

    • Lead the technical architecture of a full-stack real estate platform for the East African market.
    • Design backend systems with scalability and cross-platform integration in mind.
    • Set up DevOps workflows and CI/CD pipelines through GitHub Actions to automate deployments.
    • Work with stakeholders to align product features with what the market actually needs.
  4. Mar 2025 to Sept 2025 Kampala, Uganda On-site

    Intern AI Engineer, Otic Foundation

    • Led technical workshops across Ugandan universities, driving AI awareness and unblocking student developers on integration problems.
    • Built intelligent agents with LangGraph, LangChain and CrewAI, focused on workflow automation and state management, monitored with LangSmith.
    • Created multimodal conversational systems with long-term memory on Qdrant.

Education

  • BSc Artificial Intelligence and Machine LearningISBAT University, Kampala, Uganda

Where the work has landed

Featured by Qdrant on XQdrant found Kylie through a LinkedIn post and featured it on X and LinkedIn.

Kylie - A Multimodal WhatsApp AI Agent

We recently came across this project shared by Jonathan Mukhobe Sr. on LinkedIn and wanted to highlight it for the community.

Kylie is a fully functional WhatsApp AI agent built with a practical, end-to-end…

Qdrant (@qdrant_engine),

View the post on X

110+

GitHub stars on Kylie

Counted 18 September 2026

34

Forks

Counted 18 September 2026

10+

Production web and AI projects shipped

Where it started

LinkedIn,

My original LinkedIn post about Kylie, the one that caught Qdrant's attention and led to the feature on X and LinkedIn.

Read the LinkedIn post