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Summary

Expertise

Project Highlights

Education

Agency

VK

English:

Advanced

Viacheslav K.

vetted by Youteam

Vetted by YouTeam

Switzerland

UTC +01:00

Europe/Zurich

English:

Advanced

Machine Learning Engineer

Skilled Machine Learning Engineer and Data Scientist with experience in computer vision, clustering analysis, object detection, and tabular data classification. Also well acquainted with classification, decision trees, data pre-processing, cleaning, as well as neural networks. Have solid experience in AWS services related to ML lifecycles projects, namely inference and training with Sagemaker, data processing via EMR and Glue, and managing projects via ECR and Artifacts.

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Expertise

Years of commercial development experience

4 years of experience

Core technologies

Python 4 years
Machine Learning 4 years
Computer vision 4 years
Numpy 4 years
pandas 4 years
AWS 4 years

Other technologies

C++
Flask
OpenCV
Spark
SQL
Git
Jenkins
Docker
DynamoDB
PyTest
Matplotlib
scikit-learn
Lambda
Keras
Databricks
Seaborn

Project Highlights

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Lead Machine Learning Engineer

Real Estate Market Analytics

Jul `22 - Aug `24

2 years

DataFlik

Predicting probabilities of sell and discounts for properties in the USA over different states.

Responsibilities & achievements

• Led a team of ML Engineers and Data Engineers to collaborate on various initiatives. • Constructed datasets for model retraining, working with over 8TB in a delta lake. • Built and maintained scalable, decoupled, and reliable project infrastructure. • Developed and trained over 2,000 CatBoost models. • Deployed multiple production models with shadow testing for performance evaluation. • Analyzed model performance and extracted feature insights. • Built dashboards to visually represent results and insights.

Python
scikit-learn
pandas
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Machine Learning Engineer

Image to Text

Mathleaks

Inputs were images and output should be the formulas as a sequence of latex tokens - Image to text generation.

Responsibilities & achievements

• Developed preprocessing and normalization pipelines for LaTeX tokens. •Built a custom Encoder-Decoder model for predictions. •Tested open-source training solutions to assess their effectiveness. •Conducted prediction analysis and performed iterative retraining to improve model accuracy.

TensorFlow
UNET
PyTorch
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Machine Learning Engineer

Lead Generator

Software Development Company

Having a proposal on Upwork, the task was to generate the relevant lead message to a customer. The message consisted of fields for filling by the text networks and templates given from the DB.

Responsibilities & achievements

• Created templates for lead messages. • Scraped a wide range of data to fulfill templates. • Provided an API in Flask for convenient use by third-party vendors.

Flask
NLP
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Machine Learning Engineer

Matching System

Jobwallet

Parse and match set of CVs and Job Descriptions using rule-based keyword extraction and machine learning text classification.

Responsibilities & achievements

• Tested various types of classification networks. • Developed a keyword-based rule engine for calculating scores. • Gathered keyword mapping functions across the project. • Created a multi-parser for handling PDF, DOC, and TXT documents. • Implemented assumption systems based on input information.

SQL
NLP
icon
Machine Learning Engineer

Person Re-Identification

IT Company

Detecting and tracking people on the video in real-time, identifying them.

Responsibilities & achievements

• Built a pipeline using DeepSort and YOLOv5 for object detection and labeling. • Developed an interactive demo using Flask. • Identified human behavior by tracking movement in stores and on streets.

Flask
Dash
PyTorch
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Machine Learning Engineer

Pulmonary Fibrosis Detection

Medical Company

Having an unstructured list of patients’ visits info and 3d CT scans of their lungs, the goal was to predict the lungs’ capacity by a certain date and give the probability of the prediction.

Responsibilities & achievements

• Established a 3D data preprocessing pipeline. • Tuned EfficientNets to push metrics for lung capacity prediction. • Conducted post-prediction analysis of data and forecasting of diagnoses.

TensorFlow
Matplotlib
scikit-learn
Keras
Seaborn

Education

Higher education in Computer Science

Agency

Development agency #31

400+

GMT-11

Remote

Want to hire this engineer?

Check if Viacheslav is available