Connor's Portfolio

WHO I AM

Electronic, IT & Software Engineer | Board Member | RBL Branch Chair

I’ve a track history for actively making a change and bringing direct innovation to the various roles I play. From leading the way in R&D at work to bringing the latest live-streaming technologies to a local charity.

My day to day can change drastically as I tend to be involved in a range of activities in an effort to improve my personal experiences but also taking the opportunity to use my abilities to improve the are I live in!

WHAT I DO

Using problems to create new solutions

With the mindset of turning problems into opportunities, I methodically and strategically bring new solutions to organisations with a track record of innovation and boundary-pushing for financial and long-term gain

Engineer

Starting as an electronic engineer, through an apprenticeship achieving a HNC, I have progressed and self taught to progress my company’s IT infrastructure and abilities with new software and integrations.

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Board Member

Starting in 2020’s lockdown, I joined the Cheshire & Warrington Local Enteprise Partnership’s Engagement Board. I have since been part of the strategy and digital connectivity boards helping the sub-region with direction.

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Branch Chair

Since 2018, I have been part of my local branch of the Royal British Legion. Now being the chair, I have gained a range of experience in leadership, event planning, fundraising and more. I have also been able to use my experience to utilise new technologies like live streaming and online donations.

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Let’s Chat!

Here’s an AI chatbot – trained to speak like me, with (some) of my knowledge!
Ask about my hobbies, work, projects and more…

How does it work?

I then gathered some data about me, my hobbies, work, etc. (i.e. from LinkedIn) and used an embeddings model to parse the data into vectors, which were then stored on a PineCone database.

When you send a message, a HTTP request is sent to my custom API which is self-hosted, allowing a series of Python scripts to vectorise the input, find the nearest matches in the stored data, and use the fine-tuned GPT-3.5 model to respond, as if it were me using a custom system message to further guide the models response!

FROM MY BLOG