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Wiktor – AWS, Python, NumPy, experts in Lemon.io

Wiktor

From Poland (GMT+2)

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Machine Learning EngineerSenior
Hire developer
9 years of commercial experience
AI
Automotive
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Wiktor – AWS, Python, NumPy

Wiktor is a Senior Deep Learning/Computer Vision engineer with a passion for solving real-world problems in healthcare and automotive or other sectors that bring valuable change to society. Experienced in building and leading a deep learning team while maintaining hands-on contributions to projects. Possesses strong communication skills and English proficiency. Wiktor also enjoys outdoor activities like hiking and mountain biking!

Main technologies
AWS
6 years
Python
10 years
NumPy
10 years
PyTorch
6 years
GCP
1 year
Additional skills
Amazon EC2
OpenCV
AWS SageMaker
Scikit-learn
Tensorflow
Amazon S3
Machine learning
Deep Learning
Computer Vision
C++
Apache Airflow
Apache Spark
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Staff Machine Learning Engineer
May 2022 - Jan 20241 year 8 months
Project Overview

The project aimed to develop an active learning system utilizing a vast unannotated data lake generated by a fleet of vehicles. Its primary objective was to autonomously identify significant data points for annotation and retraining, facilitating iterative enhancements of existing deep learning detectors and classifiers.

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Responsibilities:
  • Developed and implemented an active learning pipeline to automatically select and prioritize data samples from the unannotated observations lake for labeling;
  • Integrated the system with existing deep learning models to facilitate continuous learning and enhancement of model accuracy and reliability;
  • Coordinated with data engineers and annotation teams to streamline;
  • Ensired the data flow and processing, significantly reducing the time from data capture to deployment;
  • Utilized cloud technologies (AWS) and Docker to manage the scalability and operational aspects of the active learning system.
Project Tech stack:
Apache Spark
Apache Airflow
OpenCV
PyTorch
Staff Machine Learning Engineer
Dec 2021 - Dec 20221 year
Project Overview

The project focused on implementing vehicle detection and multi-object tracking (MOT) models onto the NVIDIA Jetson NX platform, forming an efficient edge computing solution. It aimed to minimize latency and reduce dependency on cloud systems for critical perception tasks by enabling real-time processing directly on vehicles.

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Responsibilities:
  • Developed and optimized multi-task machine learning models for deployment on low-compute edge devices;
  • Engineered a C++ inference application to run efficiently all models on the NVIDIA Jetson NX platform;
  • Implemented robust multi-object tracking algorithms to enhance real-time response in varying traffic conditions;
  • Spearheaded the deployment process, including setting up Docker containers for scalable and reproducible application management, monitoring, and adapting client applications to use real-time predictions.
Project Tech stack:
C++
Python
OpenCV
Computer Vision
Machine learning
Staff Machine Learning Engineer
Aug 2020 - May 20221 year 9 months
Project Overview

The mobile perception platform that enhances safety, efficiency and sustainability. The project was related to the development of deep-learning models for Lane Layout Prediction in urban scenes

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Responsibilities:
  • Designed and prototyped multi-task deep learning models focusing on semantic segmentation and lane layout;
  • Conducted extensive experiments and optimizations to refine model accuracy and performance under various urban conditions;
  • Developed a flexible design to adapt the perception stack to new customer's requirements;
  • Collaborated closely with data annotation teams to develop guidelines and ensure high-quality training datasets;
  • Led the integration of models into the broader perception system, ensuring seamless functionality with existing automotive technologies;
  • Helped build the internal DL team and secure the company's first customers.
Project Tech stack:
PyTorch
OpenCV
Machine learning
Computer Vision
Deep Learning
Senior Computer Vision & Machine Learning Engineer
Oct 2017 - Mar 20191 year 4 months
Project Overview

An AI-powered fleet management platform. An open-set face recognition system was a core component responsible for automatically assigning routes to fleet drivers. The platform was designed to scale to thousands of fleets and drivers with minimal human annotation input.

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Responsibilities:
  • Designed, built, and trained a 2nd generation of metric learning DL models, significantly boosting face recognition performance;
  • Led the deployment of the new version of the face identification system to edge devices and cloud processors;
  • Improved metrics monitoring system;
  • Developed and deployed internal tools for model-assisted data annotation, allowing for fast curation of the internal datasets.
Project Tech stack:
PyTorch
OpenCV
AWS SageMaker
Amazon EC2
Amazon S3
Scikit-learn
Tensorflow

Education

2017
Automation and control
Master's

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