Conor Graham
Director at HackTheHub
Belfast, Northern Ireland, United Kingdom
Summary
👤
Senior🎓
Top SchoolConor Graham is a Director and seasoned software leader based in Belfast with 11 years of experience spanning engineering, product and company leadership across consultancies, startups and VC-backed ventures. He combines hands-on backend Python/Django and front-end Angular/React development with a proven track record of taking PoCs and MVPs from concept to market—most notably leading engineering at Truestock to launch a machine-learning sales forecasting app integrated with 250+ retailers. As Managing Director of Nigma he helps early-stage teams ship products efficiently, while at HackTheHub he designs high-energy hackathons that drive innovation and talent discovery for diverse clients. Comfortable oscillating between coding, hiring and stakeholder-facing delivery, he focuses on automation and process improvements that scale small teams into product organizations. Less obvious: he pairs formal testing and requirements training with a founder’s pragmatism, meaning technical decisions are routinely balanced with go-to-market tradeoffs.
11 years of coding experience
8 years of employment as a software developer
ignite Propel AcceleratorSt Louis Grammar SchoolISTQB® Certified Tester Foundation Level, ISTQB® Certified Tester Foundation Level at BCS, The Chartered Institute for ITBSc Hons - First Class Honours Computer Science, BSc Hons - First Class Honours Computer Science at Ulster University
English
Github Skills (16)
open-source10
javascript9
azure6
localhost5
microsoft5
golang4
ngrok3
microsoft-azure3
reverse-proxy3
linkedin-api2
scrapy2
scrape2
linkedin2
crawler2
scraper2
Programming languages (4)
Github contributions (5)
hack-the-hub/hackthehub22-resources
May 2022 - May 2022
Contributions:7 commits, 5 pushes, 1 branch in 5 days
TrueStock/TrueStock-API-Samples
Feb 2020 - Mar 2020
This contains samples on how to use the TrueStock API for accurate forecasting.
Contributions:8 PRs, 19 pushes, 7 branches in 7 days
forecastingapipythonmachine-learningaccurate
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