SKILLS

Technical skills: Python ● C ● Algorithms ● Data Structures ● AI ● Git ● Jira ● HTTP

Soft skills: Bilingual Communication English and Russian ● Event Management

WORK EXPERIENCE

Senior System Application Engineer (full-time)	11/2018 – Present
Infineon Technologies Asia Pacific Pte Ltd	Singapore

Performance rating: the highest score of AA based on projects and behavioral performance in 2020.
Awards: Application note of the Month, as the best reference design article out of 11 application notes, April 2020.
Expanded XDPP1100 microcontroller functionality by 20% by developing 17 digital features in C programming.
Provided a design-win of 100k+ XDPP1100 pieces by implementing 2 power algorithms in C and RTOS.
Reduced Tier-1 customers’ support requests by 30% by providing XDPP1100 C-programming guidance.
Designed and verified customized 16 public XDPP1100 example projects in C with auxiliary Python scripts.

Software Verification Engineer (intern, full-time)	03/2017 – 08/2018
Infineon Technologies Austria	Villach, Austria

Accelerated Infineon Villach verification workflow by 40% by re-engineering test framework in C/C# in a team of 4.
Automated 85% AURIX 2G transient measurements by developing and coding 7 verification algorithms out in C.
Enhanced AURIX 2G accuracy of startup time measurement by 15% by applying a PI control into test algorithms.

Lead Technician (part-time)	10/2016 – 05/2018
Robotics Lab at National Technical University of Ukraine KPI	Kyiv, Ukraine

Led a team of 5 (representing Robotics Lab) and raised $10.5k from the university fund.
Engineered a unique vision-based Drone Landing System in C/C++ and with Python OpenCV.
Simulated drone’s fly test in MATLAB. Achieved 93% landing accuracy during open air testing.
Prototyped an object detection vision system by deploying image recognition with Python OpenCV and control in C.

AWARDS AND HONORS

Top-3 finalist out of 52 participants in the national “All-Ukrainian Olympiad in Avionics” 2016.
Selected as one of 100 winners out of 3,213 applications in the national Ukrainian competition "Aviator-2016".

CERTIFICATES

01/2021	Machine Learning Certificate authorized by Stanford University; grade achieved 97.25%.
10/2020	Algorithms Expert Certificate; solved more than 115 algorithms’ exercises the most efficiently.
11/2020	System Expert Certificate; designed 10 scalable systems and passed system design’s examination.
01/2020	Certified IBM AI Specialist; built and applied 9 machine learning models within 3 months.

PERSONAL PROJECTS

200+ programming exercises

Implemented and combined learned algorithms and data structures under the custom repo py-libs.

IoT Smart Home

Designed and deployed Home Monitoring System and automated Sunlight-based curtains control in Python.
Bridged a local database Raspberry Pi with AWS S3 cloud with HTTP and provided a data-mining with AWS.

Recommendation System

Built a collaborative filtering-based Recommendation System to predict users’ movie preferences.
Applied Restricted Boltzmann Machine in Python with TensorFlow.

AI compressive strength of concrete estimation

Built a 2-layer neural network in Python with Keras to estimate the attitude between compressive strength of concrete and its attributes with a 94% model accuracy.

Fashion Recognition System

Deployed a Convolutional Neural Network in Python with PyTorch and using MNIST data.
Achieved an 89% model accuracy with just 7 training iterations.

Personal multipurpose website at github.io

EDUCATION

Master of Engineering in Avionics, GPA: 4.8 / 5	09/2012 – 05/2018
National Technical University of Ukraine KPI	Kyiv, Ukraine

Diploma of Honor, 2018. Top-2 student of the year 2018 out of 50+ participants in specialization Avionics.
Authored 5 publications in the Young Scientist Research Journals and other peer-reviewed journals.
Conducted a course on informatics and supervised 23 students during laboratory sessions.