Experience

Palantir Technologies

• United States
• Software Development
• 700 & Above Employee

• Artificial Intelligence Platform

  • Sep 2023 - 4 months

  London, England, United Kingdom Applying LLMs and ML to real world problems



Unibuddy

• United Kingdom
• Technology, Information and Internet
• 1 - 100 Employee

• Advisor

  • Nov 2022 - 1 year 2 months

  Large Language Models, Generative AI, Machine Learning Architercture, GPTs, OpenAI



Ergeon

• United States
• Construction
• 200 - 300 Employee

• Advisor

  • Jun 2021 - 2 years 7 months

  Working directly with CTO and VP of Engineering



Stealth Startup

• United States
• Technology, Information and Internet
• 700 & Above Employee

• Co-Founder

  • Feb 2023 - Oct 2023

  Generative AI



Stealth Startup

• United States
• Technology, Information and Internet
• 700 & Above Employee

• Lead Engineer (1st hire)

  • Dec 2021 - Aug 2022



Unibuddy

• United Kingdom
• Technology, Information and Internet
• 1 - 100 Employee

• Head of Data Science

  • Oct 2017 - Jun 2021

  Part of the Founding team: 2nd engineering hire Envisioned, designed, build and deployed Machine Learning products, cloud infrastructure as well as products outside of ML Deep Learning, zero & few shot learning, paraphrase detection, language models in house trained and open source solution (BERT etc) Data set building and Labelling AWS: Cloudformation, Fargate, EC2, SQS, SNS, S3, CI/CD, Lambda



Evolution AI

• United Kingdom
• Software Development
• 1 - 100 Employee

• Machine Learning R&D Intern

  • Jun 2017 - Sep 2017

  London, United Kingdom Deep Learning algorithms with attention for zero and One-shot Text Classification using class descriptions written in Natural Language.



Upwork

• United States
• Software Development
• 700 & Above Employee

• Machine Learning Intern

  • Jun 2016 - Aug 2016

  Mountain View, California, USA -Learning to Rank (Machine Learning for Ranking) using clickthrough data logs data for the Client Search product, which improved current system (Pointwise & PairWise approaches) - Suggested solution to deal with the presentation bias of the results - Worked with the Search Product Team



Upwork

• United States
• Software Development
• 700 & Above Employee

• Machine Learning Intern

  • Jun 2015 - Aug 2015

  Mountain View, California, USA - Predicted Clients interest based on cookies before sign up in order to have recommendations immediately after sign up - Worked with the Search Product Team



MCOMS

• Greece
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Analytics Intern

  • Jun 2013 - Jul 2013

  Athens, Greece System development of automatic Data Analysis and Statistical Reporting of customer logs of the company’s Video-on-Demand product for the hoteling industry