Radu Balaban, Developer in Baia Mare, Maramureș County, Romania

Radu Balaban

Software Architecture Developer

Location
Baia Mare, Maramureș County, Romania
Toptal Member Since
July 11, 2017

Along with a master's degree in machine learning from Georgia Tech, Radu is a software engineer with over 15 years of experience in the industry. He's passionate about bringing the latest advances in computer science to performant and reliable real-world applications.

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Portfolio

KF Software Solutions, Inc. (via Toptal)
MUI (Material UI), Redux, React, JavaScript
Key Network Services, Ltd. (via Toptal)
IMSL Numerical Libraries, Java, Math.NET Numerics, VB.NET, .NET
Fintech Startup (via Toptal)
Matplotlib, Jupyter Notebook, Scikit-learn, Pandas, Python

Experience

C# - 15 yearsSQL - 15 yearsSoftware Architecture - 12 yearsJava - 7 yearsTypeScript - 4 yearsMachine Learning - 4 yearsPython - 3 yearsReact - 3 years

Location

Baia Mare, Maramureș County, Romania

Availability

Part-time

Preferred Environment

Visual Studio Code (VS Code), IntelliJ IDEA, Linux

The most amazing...

...thing I've coded uses the Parzen density estimate to create painting-like time-lapse videos from still photographs.

Work Experience

2019 - 2019

Front-end Engineer

KF Software Solutions, Inc. (via Toptal)
  • Developed a new web single-page application (client) that allows the management of data related to forestry stock management.
  • Implemented a functionality such as data viewing, editing, and searching.
  • Wrote support for exporting reports in Excel, PDF or CSV formats.
  • Developed a new application that significantly improved the performance of the system compared to the previous implementation (which was a server-centric).
  • Added functionality to another part of the system: an offline-capable React mobile application.
Technologies: MUI (Material UI), Redux, React, JavaScript
2018 - 2019

Machine Learning Engineer

Key Network Services, Ltd. (via Toptal)
  • Developed an ML model that validates medical prescriptions issued at vet clinics. The model can identify the most likely mistakes in the prescription and also suggest missing items.
  • Created the interface for domain experts to validate and improve the model.
  • Added support for auditing the prescription issuing flow.
Technologies: IMSL Numerical Libraries, Java, Math.NET Numerics, VB.NET, .NET
2018 - 2018

Machine Learning Engineer

Fintech Startup (via Toptal)
  • Built a model that computes the optimal portfolio given certain risk tolerance.
  • Computed technical indicators such as SMA, Bollinger bands, and did feature engineering to enhance input data.
  • Ran experiments in order to evaluate the predictive value of different machine learning models related to securities prices.
Technologies: Matplotlib, Jupyter Notebook, Scikit-learn, Pandas, Python
2018 - 2018

Machine Learning Engineer

Consumer Internet Labs (via Toptal)
  • Implemented a neural network-based digit recognition system for a web application running on mobile devices.
  • Built a system that supports recognizing multiple digits drawn by touch on the mobile screen and the recognition process runs entirely on the client-side.
  • Ensured a superior accuracy by sending the system logs with failed digit classifications to a server written in Flask and then this data is then used to periodically retrain the network.
Technologies: Flask, Python, Scikit-learn, TypeScript
2017 - 2017

Front-end Engineer

Crypto Plus Certified (via Toptal)
  • Developed a web single-page application (SPA) client app for managing assets across multiple exchanges.
  • Implemented API connectivity—both towards the application server and towards external services (exchanges).
  • Implemented the payments flow.
  • Made the application mobile-friendly by using responsive components.
Technologies: WebSockets, SVG, Redux, React, TypeScript
2014 - 2017

Machine Learning Engineer

E&P Data Sense
  • Implemented a cross-platform application for monitoring streams of data from a variety of sensors in drilling or production oil and gas installations. The system analyzes the data and can send notifications in real-time.
  • Created an anomaly detection system for finding hazardous or deficient operation parameters in order to send automated alerts to supervisors.
  • Developed a sand detection feature that monitors the sand production in the well (sand can quickly deteriorate equipment). The detection process uses data from an acoustic sensor connected to the pipeline.
Technologies: Machine Learning, Data Science, Python, R
2011 - 2017

Software Architect

Eelloo
  • Led the development of a new product: a job search application based on psychological profile matching. It uses psychological testing results from the company’s main product to recommend the most appropriate jobs and career paths to users. The matching is done using machine learning techniques.
  • Worked as part of the company’s R&D team—focused on data visualization, and graph visualization in particular—that won several prizes at the International Symposium on Graph Drawing and Network Visualization for several years in a row.
  • Was actively involved in the product design for the main projects of the company.
  • Led the migration of the company’s main product from a Flex and Java 1.4 servlets application to HTML5/React.js and Spring MVC. The product—a large software suite for psychological testing—was targeted mainly towards enterprises and is currently in use at several large Dutch companies (such as ING).
Technologies: PostgreSQL, Oracle, React, TypeScript, Machine Learning, Spring, Java
2004 - 2011

Software Architect | Co-founder

Software Business Partners
  • Co-founded this outsourcing company.
  • Discussed the requirements with the clients, explained possible technology choices and proposed a development plan.
  • Implemented key areas of the projects, assigning tasks to the team members as well as creating training materials for the team.
  • Worked on a large number of projects, using diverse technologies, for both the desktop and the web.
  • Developed a screencasting streaming server for Flash— low-level C protocol work which required reverse engineering the Flash screen capture codec data.
  • Created a line of business desktop applications, implemented with .NET Windows Forms, WPF, and Silverlight.
  • Completed the most challenging project at the company—embedding the IBM Lotus Symphony in the browser on Windows and Mac. Symphony was a third-party pure desktop application without an embeddable ActiveX or applet.
Technologies: Microsoft SQL Server, C++, ASP.NET, VB.NET, C#

Experience

Fluid Calc

https://bitbucket.org/radu-b/fluid-calc-desktop
An open-source, multiplatform application that performs unit conversions and calculates formulas commonly used in well testing/drilling.

Painting Timelapse Videos from Photographs

A small-but-fun Python app that I wrote. It analyzes a photograph and uses the color and intensity distribution to generate a painting-like timelapse video from it.

Antialiasing using Deep Learning

https://github.com/radu-b/dl-antialiasing
This application adds antialiasing (edge smoothing) to rough black and white images. It uses a UNet based on ResNet18. Implemented using PyTorch and Fast.AI
Image of Intro to Python Image Processing in Computational Photography publication
Publication

Intro to Python Image Processing in Computational Photography

https://www.toptal.com/opencv/python-image-processing-in-computational-photography

Skills

Languages

CSS, C#, HTML, JavaScript, TypeScript, Java, R, Assembly, SQL, Python, C++, VB.NET

Frameworks

.NET, Spring, ASP.NET MVC, ASP.NET, Flask, Redux, MUI (Material UI)

Libraries/APIs

Win32 API, Windows Forms (WinForms), React, OpenCV, NumPy, Pandas, Apache Lucene, DirectX, jQuery, Scikit-learn, Matplotlib, IMSL Numerical Libraries, Node.js, PyTorch, Fast.ai

Paradigms

Object-oriented Programming (OOP), Data Science, Functional Programming

Platforms

Windows, Oracle Database, Linux, Jupyter Notebook, Visual Studio Code (VS Code), Oracle, Google Cloud Platform (GCP)

Other

Machine Learning, Software Architecture, Software Engineering, Computer Graphics, Artificial Intelligence (AI), Computer Vision, SVG, WebSockets, Math.NET Numerics, AWS Cloud Architecture, Deep Neural Networks, Convolutional Neural Networks, Deep Learning, Deep Reinforcement Learning, Reinforcement Learning

Storage

PostgreSQL, Microsoft SQL Server, Google Cloud

Tools

IntelliJ IDEA

Education

2016 - 2019

Master's Degree in Computer Science (Machine Learning)

Georgia Institute of Technology - Atlanta, GA, USA

1998 - 2004

Bachelor's Degree with Honors in Computer Science

Technical University of Cluj-Napoca - Cluj-Napoca, Romania