T
J

Tom Jennings

ABOUT ME

Scaleup Software Engineering Manager

Since 2022

› Successfully led two high-performing teams, overseeing 12 engineers and achieving engineering goals to deliver exceptional results within the Candidate Experience division.

› Leveraged my expertise in LLMs to introduce generative AI to the engineering vector, providing coaching and mentoring to engineers on both technical and non-functional aspects.

› Orchestrated a highly successful generative AI hackathon that fostered innovation and collaboration among over 80 participating engineers.

› Managed the development of "Convert," a widely adopted forms product with over 500k monthly active users.

› Oversaw the end-to-end launch of "Candidate Portals" as a customer-facing solution, from ideation to successful customer implementation.

› Implemented cutting-edge AI technology across multiple teams, driving efficiency and optimization throughout the company.

Startup CTO

Since 2017

› Delivered consistent tech-driven revenue growth, whilst also cutting content production costs by vertically integrating our whole content production process.

› Onshored development team, moved from large outsourced team to lean in-house team

› Formed in-house Data Science/AI team, which has had impact on production cost-base and content lead times.

› Negotiated deals with content data suppliers, ensuring redundancy but also delivering more, better data at a lower price point.

› Grown and nurtured talent in-house. Ensured very low staff turnover in a competitive marketplace.

› Transitioned legacy infrastructure to modern cloud-native architecture.

EXPERIENCE

Beamery

Software Engineering Manager

Jun 2022 – Present

Led two high-performing teams, managing 12 engineers, focused on delivering exceptional results in the Candidate Experience division.

Introduced generative AI, coached engineers technically and non-technically. Spearheaded a generative AI hackathon, encouraging innovation among 80+ engineers.

Implemented AI technology, enhancing efficiency and optimization across teams.

Curation Corporation

Chief Technology Officer

2017 – Present

Managed all aspects of product development and delivery. Initiated and executed on major client-facing and internal initiatives. Reported to CEO & COO. Defined and met KPIs. Managed and grew teams, both in number and ability.

Engineering Lead

2015-17

Ran offshore team development team of 8 engineers, delivered in-house CMS and email publication system. Worked with clients on delivery and customisation of end product.

Product Owner

2013-15

Developed "Curation Dashboard", a client-facing realtime news management system.

EDUCATION

London School of Economics

2009 – 2012 | BSc. Economic Anthropology

The Judd School

2001 – 2008 | 4 A's at A level

PROJECTS

Candidate Portal

Since 2022

› Oversaw the end-to-end launch of "Candidate Portals" as a customer-facing solution, from ideation to successful customer implementation. This product enhanced the recruitment process by offering a streamlined, user-friendly platform for both candidates and recruiters.

  • React
  • Node.js
  • Elasticsearch

Convert

Since 2022

› Managed the development of "Convert," a widely adopted forms product with over 500k monthly active users. This product significantly improved data collection and interaction with potential candidates.

  • React
  • Kubernetes
  • Postgres

Curation Feeds

since 2020

› Developed an end-to-end content curation platform, ingesting, encriching and processing over 3 million items/day. Internal users can write arbitrary queries and train an "active learning" AI to suggest relevant content.

  • GraphQL
  • Node.js
  • Kubernetes
  • RabbitMQ
  • MSSQL

Curation Portal ↗

Since 2018

› Initiated and executed on client-facing news and insight portal. Worked directly with clients and stakeholders to define scope. Chose technology stack which enabled rapid development, scalability and deployment and DX.

  • GraphQL
  • Node.js
  • Kubernetes
  • RabbitMQ

Abstractive AI summarisation ↗

Since 2019

› Developed auto-summarisation API sold to FAANGS and other industry-leading tech companies. Led the release of open-source and commercial dataset.

  • Python
  • Transformer-based NLP
  • Fast AI

Curation API ↗

Since 2019

› Spearheaded development of client-facing REST API and documnetation which has been a major revenue driver.

  • Node.js
  • REST
  • Message queueing

TECHNICAL SKILLS

Devops

  • Docker
  • Kubernetes
  • ELK stack
  • Gitlab CI/CD
  • Prometheus

Backend

  • MSSQL
  • PostgreSQL
  • ElasticSearch
  • Node
  • Redis

Cloud

  • AWS
  • Terraform

Other

  • Python
  • Elixir
  • Rust
  • GraphQL
  • Systems Administration
  • Systems Architecture
  • IT management
  • Agile methodology

CONTACT