Piotr Grudzień

CEO

Warsaw, Mazowieckie, Poland11 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-founder of a Y Combinator-backed startup
Expert in Machine Learning and NLP
Developed innovative Conversational AI solutions

Stackforce AI infers this person is a SaaS expert specializing in Conversational AI and Machine Learning.

Contact

Skills

Core Skills

Machine LearningConversational AiNatural Language ProcessingData AnalysisSoftware Development

Other Skills

SQLPythonJavaGoogle AnalyticsHadoopC#PHPJavaScriptHTMLBlockchainEthereumSoliditySmart contractsLinuxBash

About

I'm the CTO at Quickchat AI (Y Combinator, Summer 2018). I co-founded the company together with Dominik Posmyk. Conversation is becoming the main way people interact with machines. In the future, every business will need a Conversational AI Agent for customer support, shopping, and as a way for users to interact with their products and content. Quickchat AI helps companies integrate and secure proprietary data, design and implement conversation style, flow and goals, and analyse interactions for insights. My background is in Machine Learning. Previously, I worked on Natural Language Processing at Microsoft London and Machine Learning for financial fraud detection at Featurespace. I graduated from the University of Cambridge in 2015.

Experience

Quickchat ai

Co-Founder & CTO

Mar 2018 – Present · 8 yrs · San Francisco, California, United States

At Quickchat AI, we make customizable conversational AI Agents for businesses. Our AI Agents:
are grounded in company's data
follow carefully designed conversation flows
help complete processes
deliver insights and analytics
Our mission is to introduce AI Agents to businesses to improve processes and reduce costs.
We're backed by Y Combinator, Amino Capital and other notable investors.

Machine LearningNatural Language ProcessingConversational AI

Microsoft

Applied Scientist

Apr 2017 – Mar 2018 · 11 mos · London Area, United Kingdom

Research and development work on NLP and Machine Learning based product features

Natural Language ProcessingMachine Learning

Featurespace

Data Scientist

Sep 2015 – Apr 2017 · 1 yr 7 mos · Greater Cambridge Area

Responsibility for developing real-world machine learning systems in the financial sector at their full length: data exploration and cleaning (SQL), research and analytics (feature engineering, building machine learning models using SQL, Python and Java, training and testing various performance metrics) and implementation in production.

Machine LearningSQLPythonJava

Winerist

Data Science Consultant

Jul 2015 – Sep 2015 · 2 mos

Development of a Java-based data product which combines Google Analytics, subscription and email campaign data to produce a database of user behaviour and preference characteristics.

JavaGoogle AnalyticsData Analysis

Zuhlke engineering ltd

Intern

Jun 2014 – Oct 2014 · 4 mos · London Area, United Kingdom

Work on a data analysis project using structured datasets as well as unstructured social media and news data obtained by web crawling. Development of a data analysis tool: Java code used for formatting data stored in Hadoop. Creation of a web service consisting of various data-driven JavaScript visualisations.

JavaHadoopData Analysis

Mediatek

Software Developer Intern

Jun 2013 – Oct 2013 · 4 mos · Greater Cambridge Area

Design and development of additional features to a C# application for automated testing of mobile devices. Project planning and management, C# software development, PHP server/client side scripting, database design and creating a JavaScript/HTML web client.

C#PHPJavaScriptSoftware Development