Nazariy P.

Nazariy P.

Senior Software Engineer/Data Scientist

Lviv, Ukraine
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About Me

Nazariy is certified in both artificial intelligence and data science. With his solid software engineering background, he delivers advanced ML and DL models that are easy to scale and use in production environments. He is highly proficient with software architecture design, CI/CD processes, and ETL management. Nazariy adapts very well to all environments and has already worked in retail, IT, and healthcare domains.

Machine Learning Natural Language Processing (NLP) Artificial Intelligence (AI) Deep Learning Data Engineering Web Scraping Chatbots Recommendation Systems C SQL Python Tensorflow Microsoft Bot Framework Computer Vision Big Data

Work history

Localexi
Head Of Engineering
2022 - Present (2 years)
Remote
  • Performed initial product analysis and created implementation strategy for the product.

  • Managed three development teams across various technology domains.

  • Created software architecture and ensured best development practices.

Google Cloud Platform (GCP) PythonGPT Generative Pre-trained Transformers (GPT) Natural Language Processing (NLP) Text to Speech (TTS)Speech to Text Serverless ArchitectureArtificial Intelligence (AI)
Toptal
Senior Data Scientist
2019 - Present (5 years)
Remote
  • Worked as a senior data scientist for a Fortune 500 company in the healthcare domain. Implemented and iteratively improved various NLP models.

  • Consulted numerous clients on data organization, infrastructure set up, and model development.

  • Architected and implemented full-stack problem solutions from data collection to model deployments.

  • Conducted research in deep learning, computer vision, signal processing, natural language processing, and conventional machine learning.

Generative Pre-trained Transformers (GPT) GPT Natural Language Processing (NLP) Digital Marketing Strategy Apache Airflow SnowflakePythonMachine LearningBig DataTensorflowPytorchComputer VisionDigital Signal Processing RLookerData EngineeringData Analytics SQLTime Series ConsultingAmazon Web Services (AWS) Azure Google Cloud Platform (GCP) Web ScrapingPredictive AnalyticsETLArtificial Intelligence (AI) noSQLPysparkChatbots Microsoft Bot FrameworkDeep LearningSoftware ArchitectureOCRBigQuery
Self-employed
Data Science Consultant
2019 - Present (5 years)
Remote
  • Analyzed the company's IT solutions and consulted on data science integration.

  • Implemented and integrated machine learning solutions to solve specific business needs.

  • Assisted more than ten companies in solving logistic, marketing, and product quality problems.

  • Organized data warehouses and set up ETL processes from scratch.

Data ScienceGPT Generative Pre-trained Transformers (GPT) Natural Language Processing (NLP) RPytorchPythonMachine LearningBig DataTensorflowComputer VisionSparkDigital Signal Processing PostgreSQLLeadershipData EngineeringData Analytics SQLTime Series ConsultingAmazon Web Services (AWS) Azure Google Cloud Platform (GCP) Web ScrapingPredictive AnalyticsETLArtificial Intelligence (AI) noSQLPysparkChatbots Microsoft Bot FrameworkDeep LearningSoftware ArchitectureOCRBigQuery
Intellias
Senior Software Engineer
2018 - 2019 (1 year)
Remote
  • Communicated closely with business owners and rapidly prototyped solutions for business needs.

  • Participated in the migration from monolith to microservice architecture by designing a bundle of microservices.

  • Configured CI/CD pipelines, which boosted development and delivery speeds.

  • Configured complex pipelines for automatic code quality checks and integration/unit tests.

  • Analyzed and resolved Azure performance issues to decrease downtime.

  • Designed uniform API and database versioning strategies, which decreased communication waste and sped up the development process.

Software EngineeringAzure Azure Cosmos DB Microsoft SQL Server React Knockout (Knockout.js) Node.jsPythonASP.NETC#PostgreSQLLeadershipSQLETLnoSQLSoftware ArchitectureOCR
N-iX
Full-stack Software Engineer
2016 - 2018 (2 years)
Remote
  • Designed software architecture from scratch for two company clients.

  • Reviewed code and set up processes to improve code quality.

  • Set up CI/CD pipelines, speeding up development and delivery processes.

  • Managed the project's development department of three people.

  • Communicated with business owners and translated business needs into software solutions.

Software EngineeringMongoDBPostgreSQLMicrosoft SQL Server Impact Knockout (Knockout.js) Node.jsASP.NETC#LeadershipSQLAmazon Web Services (AWS) noSQLSoftware Architecture
Artygeek
Full-stack Developer
2015 - 2016 (1 year)
Remote
  • Designed a tool for complex composite report generation, which replaced manual creation.

  • Optimized data access layer, which led to a ~1.7 times decrease in average server response time.

  • Developed new functionality and fixed bugs in a scrum environment.

ClipIt
Lead Data Scientist
Present (2024 years)
Remote
  • Architected and designed ML infrastructure for all projects.

  • Modeled and implemented a recommender system for the application.

  • Set up cloud-based pipelines for continuous model re-training and deployment.

  • Developed a framework for model evaluation and continuous improvement.

Google Cloud Platform (GCP) PythonNatural Language Processing (NLP) Generative Pre-trained Transformers (GPT) GPT Recommendation Systems TensorflowArtificial Intelligence (AI) Deep Learning
Cypress
Contract Lecturer
Present (2024 years)
Remote
  • Designed a C#/.NET certification course for Cypress employees.

  • Lectured three groups of 20 people on C#/.NET in preparation for MS certification.

  • Aided employees to pass different levels of Microsoft certifications.

Portfolio

Text-to-Speech System with Real-time Voice Cloning

An API for producing high-quality speech from written text with the ability to select different voices and clone voices from three seconds of audio. The model was developed as a result of my master's research. I completed all development stages; data collection, data processing, model development, packaging, and deployment.

Customer Oriented Chatbot

A chatbot developed with the MS Bot Framework that answers the client's core questions and re-routes to the appropriate support agent based on the intent. I proposed the product after doing a comprehensive company business analysis: this improved conversion rates and customer support quality. I designed and implemented software architecture, trained needed NLP models, and integrated the application into the company software solution.

Notification System for Anomalies in Blood Pressure

An API that predicts anomalies in blood pressure and allows medical workers to take preventive measures. The solution was developed for the medical institution of an Arab country. After three months of research and rapid prototyping, I delivered a model that satisfied the requirements for further funding. I also developed a lightweight API for the MVP version.

Analysis Tools of Feedback from Social Platforms

This solution collects posts from social media channels regarding the company, analyzes them, then visualizes them for BI specialists. I developed a complex automated data pipeline. For analysis, I created NLP models using TensorFlow and visualized key insights in an R Shiny-based dashboard.

Marketing Attribution Strategy

Defined custom marketing attribution strategy, which incorporated click-based, incrementality-based, and ML-based attribution approaches. I designed software architecture, implemented the model with SQL and Python, and actively took part in research and presentation stages.

Chatbot For Automation Product

A chatbot developed with the MS Bot Framework in Python that translates client messages into specific actions and answers product-related questions. The chatbot was able to translate user messages into specific SQL queries. I was responsible for the project architecture and implementation; cognitive and AI capabilities of the solution; deployment and CI/CD setup.

Map Of Historical Artifacts Migration

An open-source project that collected data from Wikipedia and used PySpark in combination with various NLP models to build a map of historical artifacts and their movement.I was responsible for project architecture, data collection and cleaning, and Deep Learning models used for entity extraction and linking.

Education

Education
Master's Degree in Data Science
Ukrainian Catholic University
2017 - 2019 (2 years)
Education
Bachelor's Degree in Applied Mathematics
Ivan Franko National University of Lviv
2012 - 2016 (4 years)