Simon Szalai, Developer in Toronto, ON, Canada
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Simon Szalai

Verified Expert  in Engineering

AI Specialist and Software Developer

Location
Toronto, ON, Canada
Toptal Member Since
February 8, 2022

Simon is a software craftsman focusing on AI, Deep Learning, cloud computing, and consumer apps. He is proficient with Python and TypeScript and known for picking up new technologies as needed. He saved a client approximately 40 million EUR a year in collaboration with his team by increasing prediction accuracy and delivered a serverless React project to manage the day-to-day activities of a manufacturing company. Previous roles have included acting CTO and full-stack engineer.

Visual Studio Code (VS Code)PythonNode.jsReactDeep LearningArtificial Intelligence (AI)Computer VisionMachine LearningTypeScriptPyTorchPandasTensorFlowAmazon Web Services (AWS)Google CloudDjango

Portfolio

Bicameral NFT
PyTorch, TensorFlow, Google Colaboratory (Colab), Deepnote, Python, Pandas...
Raiz Vertical Farms
Python, Raspberry Pi, Electronic Sensors, Google Cloud, Google BigQuery...
KitchenMate
TypeScript, Node.js, React, AngularJS, Amazon Web Services (AWS), Heroku, Ionic...

Experience

Python - 4 yearsReact - 4 yearsComputer Vision - 2 yearsTensorFlow - 2 yearsPyTorch - 2 yearsMachine Learning - 2 yearsTypeScript - 2 yearsArtificial Intelligence (AI) - 2 years

Availability

Part-time

Preferred Environment

MacOS, Linux, Visual Studio Code (VS Code), TypeScript, Python, PyTorch, TensorFlow, Deepnote, Amazon Web Services (AWS), Google Cloud

The most amazing...

...tool I've developed is a machine learning pipeline that turns brainwave data and digital artwork into a unique, animated art piece.

Work Experience

AI Specialist

2021 - PRESENT
Bicameral NFT
  • Developed a machine learning pipeline to turn brainwave data and digital artwork into a unique animated art piece, using Generative Adversarial Networks (GANs).
  • Recruited a team to use this technology to create an NFT collection of 5,000 pieces on the Ethereum blockchain.
  • Lay the foundations for the technology to be deployed as an API in the future.
Technologies: PyTorch, TensorFlow, Google Colaboratory (Colab), Deepnote, Python, Pandas, Matplotlib, Artificial Intelligence (AI), Computer Vision

Acting CTO

2020 - PRESENT
Raiz Vertical Farms
  • Developed a simulation from first principles to help design an energy-efficient greenhouse.
  • Ran a successful crowdfunding campaign with my team, raising $30,000.
  • Participated in defining strategy and product development direction.
Technologies: Python, Raspberry Pi, Electronic Sensors, Google Cloud, Google BigQuery, Deepnote, Process Simulation, Data Collection

Full-stack Engineer

2020 - PRESENT
KitchenMate
  • Designed and implemented control software running on an Android tablet for the hot food kiosk using Ionic React and Node.js.
  • Evolved requirements constantly despite a lot of ambiguity.
  • Oversaw the software integration of many different hardware. systems (AI vision system, induction cookers, cameras, payment terminals, smart fridge, WiFi hotspot, etc.).
  • Expanded a user-facing mobile app and internal tools using JavaScript.
Technologies: TypeScript, Node.js, React, AngularJS, Amazon Web Services (AWS), Heroku, Ionic, AutoML, Python, PostgreSQL, JavaScript, Artificial Intelligence (AI)

Full-stack Engineer

2018 - 2020
SynerScope
  • Executed the transition of SynerScope's entire data management platform from an on-premises app to a microservices-based cloud-native solution on Azure.
  • Increased the prediction accuracy of a client's required tools and expertise for field-work of their employees from 80% to 99.98% on two million visits, saving approximately 40 million EUR a year in collaboration with my team.
  • Engineered data pipelines to move documents, metadata, text, and images between Hadoop, Azure, and various databases.
  • Deployed an image vectorizer model to Azure Cloud as a REST API using Docker.
Technologies: JavaScript, Python, Vue, Meteor, Node.js, Azure, C#, .NET, Docker, Docker Compose, Hadoop, MySQL, NoSQL, PostgreSQL, Go, PyTorch, Databricks, Spark, Artificial Intelligence (AI)

Software Engineer

2018 - 2018
Dekimo Experts
  • Developed a computer vision product to classify cells in microscope images.
  • Delivered core development in C++, UI in QML using Qt5, image manipulation in OpenCV.
  • Contributed to the project while learning C++ autonomously from zero.
Technologies: C++, Qt, QML, Computer Vision

Quantum Active Inference

Currently building a quantum version of the active inference algorithm, which is a plausible algorithm that might be close to how "the brain works." The project's goal is to set it up in a competitive environment, where it can be compared to its classical counterpart.

Custom CRM and ISO Compliance Software

A serverless React project running on Firebase to manage day-to-day activities in a small manufacturing company. It includes business document creation (offers, order confirmations, shipping notes, and invoices), automatically sending invoices to the tax authority, and processing client and inventory management.

SorterBot

A Cloud application to control a swarm of Raspberry Pis, featuring a real-time dashboard, a deep learning inference engine, 1-click Cloud deployment, and dataset labeling tools. SorterBot is able to control an arbitrary number of Raspberry Pis, each connected to a robotic arm equipped with a camera and an electromagnet. When a session is started, the arm scans the area in front of it, locates the objects and containers within its reach, then automatically divides the objects into as many groups as many containers were found. Finally, it moves the objects to their corresponding containers.

Languages

Python, JavaScript, TypeScript, C#, Go, C++, QML, Bash

Libraries/APIs

Node.js, React, PyTorch, Pandas, TensorFlow, Matplotlib, Vue, OpenCV

Platforms

Visual Studio Code (VS Code), MacOS, Linux, Amazon Web Services (AWS), Heroku, Meteor, Azure, Docker, Databricks, Raspberry Pi, Firebase, Amazon EC2

Other

Deepnote, Deep Learning, Artificial Intelligence (AI), Computer Vision, Machine Learning, Business Administration, Google Colaboratory (Colab), Electronic Sensors, Google BigQuery, Process Simulation, Data Collection, Reinforcement Learning, Deep Reinforcement Learning, Linear Algebra, Quantum Machine Learning, Quantum Computing, Firebase Cloud Functions, Robotics, GitHub Actions, AWS Cloud Development, Object Detection, Classification, Classification Algorithms

Frameworks

AngularJS, Ionic, .NET, Hadoop, Spark, Qt, Django, React Native

Tools

LabVIEW, AutoML, Docker Compose, Amazon Elastic Container Service (Amazon ECS)

Storage

Google Cloud, PostgreSQL, MySQL, NoSQL, Amazon S3 (AWS S3)

2019 - 2020

Master's Degree in Business Administration (MBA)

Quantic School of Business and Technology - Online

2010 - 2014

Bachelor's Degree in Chemistry

University of Szeged - Szeged, Hungary

MAY 2020 - PRESENT

Deep Reinforcement Learning Nanodegree

Udacity

OCTOBER 2018 - PRESENT

Deep Learning by Andrew Ng

Coursera