nennec.github.io

Ciarán Hennessy

Profile

Software architect who is experienced with leveraging cloud technologies and modern software patterns to build, deploy and run scalable software solutions. Strong, confident communicator who inspires confidence and trust in colleagues, stakeholders and clients. A proven leader and motivator who demonstrates strong technical and business expertise. Experience working for large multinationals and growth stage start ups. A proven track record of building teams whose values and commitment reflect his own.

Experience

Solution Architect, Global Cloud Acceleration Team, IBM Ireland

2020 - 2021

Managed a number of Global Cloud Acceleration Team engagements that worked directly with clients who were undertaking business transformation projects to moving to IBM Cloud.
Engaged with C-Suite executives at clients to demonstrate the business value, scalability, security & robustness of the agreed architecture.
Worked directly with client’s senior technical staff to design and deliver public isolated cloud platform architectures that met client requirements and exploited the features of IBM cloud.
Influenced the IBM Public Cloud roadmap content and prioritisation by working with Offering Management to understand where and why customers are making tactical decisions.
Delivered revenue growth forecasts to senior management.
Coordinated the development activities a distributed European-wide development team supporting the client engagements.

k8s Docker Helm Terraform Ansible Jenkins Github DB2 Scripting IBM Cloud

Software Architect, Policy Insights, Watson Health, IBM Ireland

2017 - 2020

Architect responsible for the overall architecture and delivery of a new information retrieval SaaS product within a broader portfolio of Fraud, Waste and Abuse prevention offerings.
Worked closely with Offering Management, Product Owners & Business Analysts to ensure that the product solved the real day-to-day challenges faced by end users and achieved market fit.
Promoted & practiced a culture of servant-leadership.
Supported application developers with their day-to-day activities.
Responsible for supporting project management to ensure that timelines and budgets were adhered to.
The build, quality and deployment collateral produced by the project was extracted as a framework used widely across across Watson Health.

Docker Java Springboot Gradle Docker k8s Helm Github Netty Tomcat DB2 Python IBM Cloud

Principal Software Engineer, Watson Care Manager, Watson Health, IBM Ireland

2016 - 2017

Led a diverse team of IBM researchers, engineers and product owners to develop a natural language text summarization component for SaaS-based Care Management application.
Saved Care Managers preparation time in advance of calls with vulnerable clients by making summarized case notes available to them.
Leveraged a combination of 3rd party and custom annotators to identify domain entities from unstructured text.
Used a novel ranking algorithm with learning loop to generate user-based, role-based and time-based summaries of unstructured text (case notes).
The delivered architecture created a framework which supported the delivery of additional cognitive features to the application.

Java Jersey Python Maven Gradle Jenkins RTC WLP Websphere DB2

2012 - 2015

Led a number of development squads delivering new application features and regular maintenance releases.
Trusted to go on-site at short notice with U.S. client to support complex implementation project.

Java Ant Jenkins RTC Weblogic Websphere DB2 Oracle DB RSA

Software Engineer, Cúram Software Ltd., Ireland

2005 - 2012

Java engineer in growth stage start up.

Java Ant Jenkins RTC Weblogic Websphere DB2 Oracle DB RSA

Education

M.Sc. (Hons) Computer Science, Dublin City University, Ireland

Major in Data Analytics

2013 – 2016

Presented thesis submission at the 2016 Irish Conference on Artificial Intelligence and Cognitive Science. Thesis demonstrated a novel technique to measure the similarity between social media personalities (a.k.a. influencers), their followers and businesses. The technique was based on the classification of text-based social media output using the Alchemy taxonomy. The algorithm provided a way for a business owner to measure how good of a fit an influencer was for their business. This allowed a business owner to make an informed decision about whether to engage an influencer in advertising/marketing material or sponsored content.

B.Sc. (Hons) Computer Applications, Dublin City University, Ireland

Software Engineering stream

2000 – 2004

Interests

Technology, sport, current affairs & coffee.
Avid consumer of newspapers, books and podcasts
Occasional footballer and semi-regular runner.
Full time dog owner x 2.

Contact

Raheny, Dublin 5, Ireland
ciaran.p.hennessy[at]gmail.com

References

Available on request.