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Hi,

I'm Sead Nikšić

« Engineering • Data Science • Problem Solving »

Let's build

something

awesome

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Get to know me!

About Me

Areas of Interest

Biology

Computation

Robotics

Machine Learning

Wearable Tech

Introduction

I study computer engineering at the University of Pittsburgh and will be graduating in May 2023.

I aspire to make an impact by solving problems in robotics, health care, and related fields.

In my free time I enjoy being with friends, exploring the outdoors, and taking on fun projects!

Experience

Jan '21 - Oct '22

Philips

Co-op Software Engineer

Worked on tooling, research, and analysis related to the sizing of CPAP masks such as:

  • building and modifying full stack applications for research use. One example is an internal tool for engineers to improve sizing bins which utilized ReactJS, NodeJS, and Python for the application, a SQLite DB backend (hosted in AWS), and was deployed as a docker container.
  • interfacing with 3D camera API and working with support staff to resolve bugs and improve it.
  • introducing algorithmic improvements to the sizing, including training different machine learning models (off the shelf and custom) to achieve performance gains of up to 20% in the pipeline.
  • performing data analysis in python or excel to glean insights from new data and expose underlying trends.


Skills:   Python   |   Pytorch   |    Scikit Learn   |   Machine Learning  |   Docker   |   Full Stack Development   |   React.js   |   SQL   |

May '20 - Dec '20

University of Pittsburgh

Researcher

Worked on a research project in the Department of Biomedical Informatics during the initial prototyping / tooling stages. Responsible for writing a python library to patch and recombine gigapixel biopsy images before classification, as well as generate segmentation masks from ground truth annotations. Also helped initial experimentation with model architecture such as implementing and training a UNet model in Pytorch.

For my contribution I was named in the acknowledgments section of this paper:    Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks



Skills:    Python   |   Pytorch   |   Machine Learning

Jun '19 - Aug '19

Carnegie Robotics

Software Engineering Intern

Worked on internal tools and web interfaces to manage and visualize experimental data from an RTK GNSS receiver, including developing a web interface in vanilla JavaScript, HTML, and CSS and utilizing various APIs, both internal (data servers) and external (Google Sheets, etc.).



Skills:    Python   |   JavaScript |   Web Development

Jun '18 - Aug '18

Carnegie Robotics

Systems Engineering Intern

Responsible for operating a data collection rig mounted on a car. This included driving specific routes around the city, trouble-shooting issues, and performing basic data analysis in python.



Skills:    Python   |   Linux

Projects

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Contact me here:   sdn16@pitt.edu