Harry (Charis) Sfyrakis

CEO

London, England, United Kingdom14 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

CEO of two innovative AI-driven companies.
Expert in Data Science and Natural Language Processing.
Proven track record in increasing customer engagement.

Stackforce AI infers this person is a B2B SaaS expert with a strong focus on AI and Data Science.

Contact

Skills

Core Skills

Data ScienceChatbot FrameworkPredictive ModelingNatural Language ProcessingMachine LearningGrid Engineering

Other Skills

Distributed Event ProcessingScalaSparkAmazon RDSEMRDeep LearningPythonData-driven modelingSimulation Data ProcessingData CachingEntrepreneurshipAmazon Web Services (AWS)Cloud ComputingPattern RecognitionArtificial Intelligence

About

Currently building NewMode, which helps B2B companies convert up to 3X more visitors into qualified leads by delivering personalized experiences across web, chat, and email channels.

Experience

14 yrs 11 mos

Total Experience

2 yrs 3 mos

Average Tenure

6 yrs 3 mos

Current Experience

Newmode.ai

Chief Executive Officer

Apr 2025 – Present · 1 yr · London, United Kingdom

Newmode helps B2B marketing teams create, and distribute personalized omni-channel content. Or very simply, we ensure that every lead that engages with a brand, will have an always up-to-date and consistent experience across ads, landing pages, chatbot interactions, followup emails, banners etc.

Natwest

Fintech Accelerator Program Cohort

Mar 2020 – Jun 2022 · 2 yrs 3 mos

Algomo

Chief Executive Officer

Jan 2020 – Present · 6 yrs 3 mos

Algomo is a generative AI-powered customer service automation platform that enables businesses to build and deploy custom ChatGPT-like chatbots for their websites and communication channels. Its core purpose is to automate and optimize customer and employee support, significantly reducing the volume of repetitive queries handled by human agents—by up to 85% in some cases—while improving response speed and customer satisfaction

Chosen

Chief Scientific Officer

Jun 2019 – Aug 2019 · 2 mos · London, United Kingdom

Entrepreneur first

Cohort Member

Oct 2018 – Jan 2019 · 3 mos · London, United Kingdom

Entrepreneur First brings together extraordinary people to build startups from scratch. EF funds individuals and helps build cofounding teams, develop ideas, and accelerate through fundraising from the world's best investors.

Shelfnow

Non executive advisor

Jan 2018 – Jun 2025 · 7 yrs 5 mos · London, England, United Kingdom · Remote

Mentionlytics

Non Executive Director

May 2017 – Jan 2021 · 3 yrs 8 mos · London, United Kingdom

Hsbc retail banking and wealth management

Sr. Data Scientist (Contracting)

May 2017 – Dec 2019 · 2 yrs 7 mos · London, United Kingdom

Lead Data Scientist that designed, developed, and architected the global customer-facing chatbot framework
Developed the distributed event processing engine that processes in real time all credit and debit card transactions. Scala, Spark, Amazon RDS, EMR

Data ScienceChatbot FrameworkDistributed Event ProcessingScalaSparkAmazon RDS+1

Barclays

Vice President, Sr. Data Scientist in Advanced Data Analytics

Sep 2014 – May 2017 · 2 yrs 8 mos · London, United Kingdom

Conceptualised, led and implemented a model that predicts which customers will redeem their mortgage in the foreseeable future, using behavioural, financial and other data on python.
Conceptualised, led and implemented a model for first time mortgage buyers, written in Scala and Spark
Implemented a Spark application that categorises a transaction in sub-linear time complexity.
Implementing bespoke Natural Language Processing Solutions for various use cases, using Deep Learning.

Predictive ModelingNatural Language ProcessingDeep LearningPythonScalaSpark

Sandtable ltd.

Data Scientist

Jan 2013 – Aug 2014 · 1 yr 7 mos · London

Sandtable was a Deep-Tech startup specialising in Multi-Agent Based Simulations.
Contributions and responsibilities:
Data driven agent based modelling.
Introduced machine learning to enrich agents profiles.
Preprocessing and post-processing of simulation data.

Data-driven modelingMachine LearningSimulation Data ProcessingData Science