Alejandro (Sasha) Vicente Grabovetsky, Developer in Helsinki, Finland
Alejandro is available for hire
Hire Alejandro

Alejandro (Sasha) Vicente Grabovetsky

Verified Expert  in Engineering

Software Developer

Helsinki, Finland

Toptal member since August 13, 2019

Bio

Alejandro studied science to build a better world and currently works as an AI engineer with solid skills in DevOps and Python. He holds a degree in natural sciences and cognitive neuroscience from the University of Cambridge. He's developed blockchain solutions, co-founded companies, and won science and technology communication prizes.

Portfolio

Curious AI
Kubernetes, Python, PyTorch
AID:Tech
Hyperledger Fabric, Kubernetes, Node.js, Python
Avalon AI
Keras, TensorFlow, Python

Experience

  • Python 3 - 6 years
  • Pandas - 5 years
  • Matplotlib - 4 years
  • Scikit-learn - 4 years
  • Pytest - 3 years
  • Keras - 2 years
  • Helm - 2 years
  • PyTorch - 1 year

Availability

Part-time

Preferred Environment

GitHub, Git, PyCharm, Linux

The most amazing...

...project I've worked on was a 3D ConvNet to detect the onset of dementia from structural MRI images.

Work Experience

AI Engineer

2019 - PRESENT
Curious AI
  • Contributed to reinforcement learning library.
  • Led technical hiring.
  • Participated in self-driving vehicle project.
  • Aided with hiring automation.
  • Worked on DevOps with Kubernetes.
Technologies: Kubernetes, Python, PyTorch

CTO/Chief Data Scientist

2017 - 2019
AID:Tech
  • Developed Nephos library for deploying Hyperledger Fabric to Kubernetes.
  • Set up the back end to work with Openchain (and eventually Hyperledger Fabric) blockchain network.
  • Led technical hiring. Supervised outsourced work.
  • Developed technical roadmap for blockchain, data analytics, and DevOps.
Technologies: Hyperledger Fabric, Kubernetes, Node.js, Python

Co-founder/Chief Data Scientist

2015 - 2017
Avalon AI
  • Developed 3D CNN to detect onset of dementia.
  • Developed Python Django website to integrate algorithm and crowdsource data.
  • Approached potential collaborators in Pharmaceutical and Healthcare industries.
  • Went through Entrepreneur First, Techstars, Dubai Future Accelerators, and TMCx accelerators.
  • Approached potential investors.
Technologies: Keras, TensorFlow, Python

Co-founder

2014 - 2015
Touchido
  • Completed customer validation.
  • Went through BuildIt accelerator.
  • Approached potential investors.
  • Built MVPs.
  • Scraped scientific websites to obtain scientific paper dataset for analysis.
Technologies: Natural Language Toolkit (NLTK), Python

Postdoctoral Researcher

2011 - 2014
Radboud University Nijmegen
  • Adapted Automatic Analysis toolbox in Matlab to lab's HPC cluster.
  • Extended own MVP toolbox to MapReduce workflow.
  • Supervised Ph.D. and Master students.
  • Involved in scientist/student hiring.
  • Wrote and copy-edited scientific papers.
Technologies: MATLAB

Experience

Nephos Library

https://github.com/hyperledger-labs/nephos
I developed a Python library for deploying Hyperledger Fabric blockchain networks onto Kubernetes. This library is an official Hyperledger Labs project and boasts approximately 100% unit test coverage. It also supports continuous integration and continuous deployment (CI/CD) processes.

Education

2007 - 2011

Doctor of Philosophy Degree in Cognitive Neuroscience

University of Cambridge - Cambridge, UK

2004 - 2007

Bachelor of Arts Degree in Natural Sciences tripos (Experimental Psychology)

University of Cambridge - Cambridge, UK

Skills

Libraries/APIs

Pandas, Node.js, PyTorch, Keras, Scikit-learn, Matplotlib, Fabric, TensorFlow, Beautiful Soup, NetworkX, Lasagne, Natural Language Toolkit (NLTK), SpaCy, Stripe API

Tools

Pytest, Mocha, Seaborn, Helm, Terraform, Travis CI, PyCharm, Git, GitHub, MATLAB, Celery, Grafana, SonarQube

Languages

Python 3, JavaScript, Python, SQL

Platforms

Jupyter Notebook, Hyperledger Fabric, Hyperledger Composer, Docker, Kubernetes, Azure, Linux, Amazon Web Services (AWS), Google Cloud Platform (GCP)

Frameworks

Django, Flask, Ruby on Rails 4, Sphinx Documentation Generator, Selenium, Swagger

Paradigms

Agile, Functional Programming, Object-oriented Programming (OOP)

Storage

MongoDB, PostgreSQL, MySQL, CouchDB

Other

Bluebird, Prometheus

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring