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Name

Dionisis Pettas

Bio

I surf on Data, Blockchain & Bitcoin

Contact

Twitter

dionisis@dioptx.com Linked-In Let’s talk (Calendly)

OpenAi's GPT-3 summarization

I have over 8 years of experience in data science and AI and have worked or collaborated with some of the biggest companies in the world, such as Amazon, Google, and Thermo Fisher Scientific. I have contributed to multiple research fields while being a research associate at the University of Patras. I’ve created & curated multiple team setups in startups from the seed to the acquisition phase. I am currently a senior data scientist at Glassnode.

Tech stack

Python for 10+ years
SQL, SparkQL & BigQuery
Tensorflow/Pytorch

Specializations

Deep learning stack design
Data pipeline design
Blockchain archaeology
Scale-up & culture curation

`2021-Present`

`Glassnode`

`Senior Data Scientist`

Translation of recent ML/AI advancements in the blockchain ecosystem.
Deep learning research on event discovery objectives.
Multi-purpose metric & index development.

`2020-2021`

`Vaix.ai/Sportradar`

`Machine Learning Engineer`

Curation and expansion of machine learning pipelines.
Experimentation with modern model architectures, focusing on interpretability, reusability, the KPI goals, and end-product performance.

`Researcher`

Implementation of novel research advancements in a production environment.

Tech used: Python | Tensorflow | Django | Elixir

`2017-2019`

`Thermofisher Scientific`

`Computer Vision Engineer`

Complex lab procedure automation on Scanning Electron Microscopes with Machine learning & Computer Vision.

Conducted research on improving hardware accuracy through Machine Learning & Data Science.
Created a hybrid particle tracking method that is still used to smash the competition.
Project design, supervision, and client communication.

`Fullstack Software Engineer`

Designed & created solutions with multiple entities such as the European Space Agency, crime investigation departments, etc.
Worked at the core of a product that enabled million-dollar scale improvements in the sales margin.

`2017-2019`

`EU-funded Researcher`

I was selected to participate as an associate researcher in two labs at my university based on the then-recent success of my thesis publication.

`C.E.I.D. Data Science Lab`

Data Democratization by lowering the computation cost.
Helped instrument novel tools and methods in community detection achieving exponential speedups in real-world datasets.

Tech Used: Python | PySpark | Tensorflow

`V.V.R. Visualization & Virtual Reality Group`

Asthma monitoring system - EU-funded project.

Designed and implemented a LSTM-backed predictive engine.
Improved drug administration efficiency.

Related work published in IEEE - BIBE 2019

Tech Used: Python | Tensorflow | LSTMs

`2012-2017`

`C.E.I.D. @UoP | Greece`

`BSc in Computer Science | MSc in Data Science`

Favorite modules:

Signal Processing
Deep Learning
Project management
Advanced-Data Structures
Geometric Computation
Genetic programming
Machine Learning
NLP

Thesis: Distributed Community Prediction for Social Graphs based on Louvain algorithm.

Optimization of NP-hard class community detection algorithms through Machine Learning, in real-world

Generated applicable cross-industry impact in graph driven computations.

Published: AIAI-2019

`Publications`

Springer - AIAI 2019 | Distributed Community Prediction for Social Graphs based on the Louvain algorithm

IEEE - BIBE 2019 | Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks

Journal Applied System Innovation (ISSN 2571-5577) | An IOTA based Distributed Sensor Node System

`Volunteering`

`Singularity University`

`Team Leader - Production Team`

Ensured the smooth flow of the talks and workshops in the event's stages.
Coordinated the volunteers & managed/resolved any critical situation.

`Certifications`

Amazon

AmazonIssued Oct 2019 · No Expiration DateIssued Oct 2019 · No Expiration Date AWS Innovate Machine Learning & AI EditionAWS Innovate Machine Learning & AI Edition

Google

Artificial Intelligence NanodegreeArtificial Intelligence NanodegreeGoogleGoogleIssued Sep 2019 · Issued Sep 2019 · Credential ID CLUFES3C

`Strengths & Interests`

Social

Successful team lead & coordinator of multiple teams.
Skilled in presentation & public speaking.
Industry tested curiosity and “out of the box” thinking.

Functional

Fast adaptation, Problem-solving,
Initiative,“Out of the box” thinking,
HighTech Industry experience

Sports

Snowboarding, Kite surfing, Crossfit, Traditional kung-fu, Photography

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