Software Engineer

ING Tech

Software engineer for ING Hubs Romania (also knows as ING Tech) with a focus on the front-end development of internal applications with the goal of improving the bank's digital platforms, driving the digital transformation of the banking sector.
ING Tech develops banking solutions for several ING units using a large variety of technologies. My role is mostly focused on the development of applications related to the Financial Markets.

JavaScript NodeJS Lit ING-web Lion Redux Web components MongoDB WebdriverIO Mocha Chai Azure DevOps

Other technologies used for proof of concepts related to the improvement of current processes and the development of new projects and tools:

Tensorflow Firebase GraphQL Express

Software Developer

Oracle Health Sciences Global Business Unit

As a software developer at Oracle HSGBU, I am responsible for the development of software products that are used in clinical trials all over the world, by market leader companies such as Pfizer, Merck, Exelixis, Servier, Novo, etc.
The 2 main projects at which I worked, are Oracle IRT and Oracle Clinical One
You can see more details about those projects, at the Oracle HSGBU website

C# .NET SQL JAVA APEX HTML CSS JS

UX/UI Designer

Hewlett Packard

As a UX/UI Designer at HP, in the Sales Operations Department, I was responsible for the design and prototyping of a new internal app, used by the employees of the Sales Ops department for managing various deals with the customers, set pricing, manage stocks, and other various activities.
I worked mostly in Figma for the mock-ups and ReactJS for the development of the prototypes

Figma UX/UI ReactJS HTML CSS JS

RPA Developer Intern

Hewlett Packard

As RPA Developer at HP in the Sales Operations Department, I was responsible for the development of RPA robots and non-RPA solutions in order to automate various tasks that were untill then made manually

UiPath C# VBA

Research Tehnician

University Politehnica of Bucharest

I worked as Android and Full-Stack web developer at a research project developed by University Politehnica of Bucharest for ItalLenti
The project consists of 2 parts :

1. an Android Application based on computer vision, designed to compute various parameters like the interpupilary distance, the width and height of the glasses frames, and the pantoscopic angle.
2. a web app that was later integrated in the main Android app, that has the role of presenting the various lenses and frames that can be used, show the way they work , and help the employees of ItalLenti to make new orders based on the measurements taken in the app.

Android Computer Vision JAVA JS HTML CSS PHP MySQL

The main objective of CareProfSys is to validate and test the concept of a smart Career Path Profiling System by implementing it in an observed environment - CCOC UPB. The system is based on the analysis of several data sources (social networks, educational background, psychological tests), which are input for the "Romanian Occupations Classification" (COR) ontology-based recommendation algorithm (developed within the project).

Project website: careprofsys.upb.ro

JAVA Spring React GraphDB Ontologies SPARQL MySQL Python Tensorflow Django

EYEFIT is an app that aids centration and enables both front and side measurements to be taken, reaching a level of precision not possible with traditional ways of measuring.
As well as inter-pupillary distance and frame measurements, it can also measure half-distances, pantoscopic angle, making this a highly effective tool particularly when progressive lenses are being dispensed, where extreme precision is what guarantees maximum visual comfort for wearers.
source : ItalLenti website

Android Computer Vision JAVA JS HTML CSS PHP MySQL

This Application is developed in order to help the people who are taking courses at IPMA Romania to have easier access at their courses, take their exams online on the platform, upload required documents and receive their diplomas.
Untill now, the application has been used by a few hundred people, from various companies, that took management courses at IPMA, in the last 2 years.
The application was also presented during the Student Scientific Communications Session, Computer Science Section, May 2019.

HTML CSS JS Bootstrap PHP MySQL

Discover Romania was an app that I developed in 2016 for a national prgramming contest, with the purpose to provide a tourist guide for the travellers who want to visit Romania, by showng them the most beautiful places in the country, toghether with other useful information about our culture.
By using the Google Speech to Text API, the app allowed people to navigate through the app both by the classical interface, and by voice commands, like saying the name of the page where they want to navigate.
The app was developed using Intel XDK, based on Cordova and Framework 7.
Discover Romania was awarded the Silver Medal at the InfoMatrix national contest

Android Computer Vision JAVA JS HTML CSS PHP MySQL

This app was developed in 2019 in order to help the fight against the pandemic.
The main idea of the app, was to warn the users if they had contact with somebody who was infected with COVID19 in the last 14 days, and to help the authorities to isolate those contacts faster, to break the chain of transmission.
All the data was stores locally on the user's device, and in the case of a positive COVID test, it would be uploaded to a server, so that his/her contacts can receive a notification

JS HTML CSS PHP MySQL

WAID is a technology demonstrator that I built in 2019, in order to show how a website could be controlled without touching the mouse or keyboard, all the controls were given only by hand gestures in front of the camera, or by voice commands. WAID was also capable of responding to the user by using a text to speech API.
There are multiple possible use cases for this application, like for example enhanced aceesibility for blind persons, hands free computer control, etc
This project was just a demonstrator, but the algorithm that I used for WAID to detect hand gestures later became the base of the EyeFit research project computer vision part.

JS HTML CSS Computer Vision