Hi,
I'm Sead Nikšić
« Engineering • Data Science • Problem Solving »
Let's build
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Get to know me!
About Me
Areas of Interest
Biology
Computation
Robotics
Machine Learning
Wearable Tech
Introduction
I currently work at Carnegie Robotics in Pittsburgh, PA.
I aspire to make an impact by solving problems in artificial intelligence, robotics, health care, and related fields.
In my free time I enjoy being with friends, exploring the outdoors, and taking on fun projects!
Experience
May '23 - Present
Carnegie Robotics
Software Engineer
- Drive system design and specification for complex software systems by translating technical documents into actionable requirements and balancing technical feasibility with domain-specific considerations to deliver viable solutions.
- Lead UI/UX design and implementation for an embedded GUI, using QML and C++ to create intuitive interfaces tailored to user needs.
- Architect and implement a configurable software system with an object-oriented design. Key features include multiprocessing, camera I/O integration, object detection model integration, and custom object tracking using Kalman filters.
- Wrote all related code including custom PyTorch models, a training and evaluation framework, pre and post processing pipelines, visualization of results and model predictions, and data analysis scripts.Facilitate agile requirement gathering and task prioritization, iterating with stakeholders to refine product direction, balance evolving needs, and ensure alignment with business and user goals.
- Act as a primary technical liaison to national and international customers and stakeholders in the office and in the field, presenting solutions and progress, educating users on product functionality, and collecting feedback to inform product iterations.
Skills: Software Engineering | Python | Machine Learning | Computer Vision | Technical Writing | Figma | Qt | User Experience (UX) | Product Management | Algorithms
Oct '23 - Mar '25
Rutgers
Machine Learning Researcher, Bioinformatics
Led technical contribution on a paper that achieved state-of-the-art results (0.74 AUC) [pending publication] in predicting progression of Oral Epithelial Dysplasia (OED) to Oral Squamous Cell Carcinoma (OSCC) by using Multi-Resolution Vision Transformers.
- Wrote all related code including custom PyTorch models, a training and evaluation framework, pre and post processing pipelines, visualization of results and model predictions, and data analysis scripts.
- Tracked experimental outcomes and metrics, produced manuscript visualizations, and contributed to technical writing.
Skills: Python | Pytorch | Machine Learning | Computer Vision | Technical Writing | Figma
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
Have a question for me?
Contact me here: seaddniksic@gmail.com