Nazariy P.

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.

AI, ML & LLM

Backend

Database

Other

Work history

Localexi
Head Of Engineering
2022 - Present (3 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 Architecture
Toptal
Senior Data Scientist
2019 - Present (6 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 AnalyticsETLnoSQLPysparkChatbots Microsoft Bot FrameworkDeep LearningSoftware ArchitectureOCRBigQuery
Self-employed
Data Science Consultant
2019 - Present (6 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 AnalyticsETLnoSQLPysparkChatbots 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.

Cypress
Contract Lecturer
Present (2025 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.

ClipIt
Lead Data Scientist
Present (2025 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 TensorflowDeep Learning

Showcase

Text-to-Speech System with Real-time Voice Cloning
  • Develops an API for generating high-quality speech from written text.

  • Supports voice selection and voice cloning – clone voices from 3 seconds of audio.

  • The model was created as part of a master's research project, encompassing all development stages.

Customer Oriented Chatbot
  • Developed a customer-oriented chatbot using the MS Bot Framework.

  • Designed and implemented software architecture, NLP models, and integration into company software.

  • Focused on improving conversion rates and customer support quality through the product.

Notification System for Anomalies in Blood Pressure
  • Develops an API for predicting blood pressure anomalies.

  • Created a lightweight API for the MVP version.

  • Successfully delivered a model meeting funding requirements and developed a prototype API.

Analysis Tools of Feedback from Social Platforms
  • Developed an automated data pipeline for collecting posts from social media channels.

  • Created NLP models using TensorFlow for analysis and visualization.

  • Built a Shiny-based dashboard to present key insights from the analyzed social media data.

Marketing Attribution Strategy
  • Developed a custom marketing attribution strategy incorporating click, incrementality, and ML-based approaches.

  • Designed and implemented the model using SQL and Python.

  • Actively participated in research and presentation stages of the project.

Chatbot For Automation Product
  • A Python-based chatbot developed using the MS Bot Framework for translating client messages into specific actions and product-related answers.

  • The chatbot was responsible for the project architecture, implementation, cognitive and AI capabilities, and deployment/CI/CD setup.

  • The project focused on automating product-related questions through SQL queries.

Map Of Historical Artifacts Migration
  • Developed an open-source project focused on mapping historical artifacts and their movement.

  • Utilized PySpark and NLP models for data collection and cleaning.

  • Implemented Deep Learning models 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)