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Andrii – Python, NumPy, PyTorch, experts in Lemon.io

Andrii

From Ukraine (UTC+3)

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Machine Learning EngineerSenior
Hire developer
11 years of commercial experience
AI
Analytics
Customer support
Data analytics
E-commerce
Fashion
Machine learning
Marketing
Chatbots
Customer support software
NLP software
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Andrii – Python, NumPy, PyTorch

Andrii emerges as a well-rounded AI Engineer with senior-level proficiency in Data Science and Machine Learning. With extensive experience as a Lead Data Scientist and Team Lead, Andrii blends polished soft skills with technical acumen. Andrii's adeptness in navigating intricate technical challenges and making architectural decisions, all while prioritizing business objectives, positions him as an ideal candidate to elevate your project to new heights!

Main technologies
Python
5.5 years
NumPy
5 years
PyTorch
4 years
Tensorflow
4 years
NLP
6.5 years
GCP
4 years
AWS
5 years
Microsoft Azure
6 years
Additional skills
Docker
FastAPI
Machine learning
Vector Databases
OpenAI
Computer Vision
Pandas
Data Science
SciPy
Scikit-learn
AWS SageMaker
Deep Learning
MLOps
LLM
LangChain
Prompt engineering
Kubernetes
BentoML
Ready to start
ASAP
Direct hire
Potentially possible

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Experience Highlights

Tech Lead
Jul 2024 - Jan 20256 months
Project Overview

A generative AI-based solution for efficient and accurate search of healthcare documents, utilizing advanced LLM models, document metadata, and ICD codes.

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Responsibilities:
  • Designed the architecture for integrating LLMs, document metadata, and ICD codes to enable efficient and accurate document retrieval.
  • Guided the selection, fine-tuning, and deployment of generative AI models to optimize search relevance and performance.
  • Ensured the system could handle large volumes of healthcare documents while maintaining high search speed and accuracy.
  • Implemented best practices for data privacy, security, and regulatory compliance (e.g., HIPAA, GDPR) in handling healthcare data.
  • Worked with data scientists, engineers, and healthcare professionals to align technical implementation with real-world medical use cases.
Project Tech stack:
OpenAI
LLM
Deep Learning
MLOps
Tech Lead
Jan 2024 - Jul 20245 months
Project Overview

OpenAI-based solution for providing assistance to customers by answering their questions and creating, supporting, or processing tickets.

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Responsibilities:
  • Designed the overall system architecture, integrating OpenAI-based models for answering customer queries and handling ticket processing efficiently.
  • Guided the engineering team in implementing core functionalities, ensuring best coding practices, and overseeing the deployment of the system.
  • Integrated AI-powered natural language processing (NLP) models to improve response accuracy and optimized performance for real-time customer interactions.
  • Coordinated with product managers, customer support teams, and business stakeholders to define requirements and align the system with business needs.
  • Implemented robust security measures to protect customer data and designed the system for scalability to handle increasing support requests efficiently.
Project Tech stack:
OpenAI
NLP
AI
Deep Learning
Lead Data Scientist / Machine Learning
May 2023 - Jan 20248 months
Project Overview

The solution systematically examines incoming images, employing a nuanced analysis to generate novel visual representations in accordance with predetermined business rules and prompts. This intricate process involves not only the interpretation of image content, but also the transformation of said content into meaningful representations that align with the specified criteria.

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Responsibilities:

Among others, Andrii managed the following tasks:

  • Led the development and implementation of data-driven solutions;
  • Architected and managed scalable data pipelines;
  • Managed a team of data scientists, analysts, and engineers;
  • Mentored and coached junior data scientists;
  • Presented technical findings and recommendations to stakeholders.
Project Tech stack:
Python
PyTorch
FastAPI
Machine learning
AI
Docker
Computer Vision
Lead Data Scientist / Machine Learning
Dec 2022 - May 20234 months
Project Overview

The OpenAI-based solution is meticulously crafted to deliver comprehensive assistance to customers, proficiently addressing their inquiries and proficiently generating, supporting, or processing tickets. This advanced system employs sophisticated natural language processing techniques to not only comprehend customer queries, but also execute efficient ticket management, thereby enhancing the overall customer support experience.

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Responsibilities:

The challenges Andrii satisfied:

  • Orchestrated the architecture of client and manager web applications, with a focus on data science and natural language processing elements;
  • Ensured a robust codebase by emphasizing data science and natural language processing functionalities;
  • Conducted thorough code reviews with a specific emphasis on data science and NLP components;
  • Assumed key responsibilities as a code owner, with a particular focus on overseeing data science and NLP-related aspects of the codebase.
Project Tech stack:
Python
PyTorch
AI
Machine learning
NLP
OpenAI
Vector Databases
Lead Data Scientist / Machine Learning
Feb 2022 - Dec 202210 months
Project Overview

The advanced solution systematically scrutinizes real-time activities performed by website visitors, utilizing sophisticated analytical methodologies to identify intricate patterns. This capability enables the system to proficiently categorize visitors into distinct clusters, establishing a foundation for comprehensive analysis and the implementation of targeted follow-up strategies. Consequently, this approach optimizes the overall comprehension and engagement with the user base.

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Responsibilities:

Andrii successfully carried out the following responsibilities:

  • Implemented advanced statistical, mathematical, and machine learning procedures to extract actionable insights from diverse datasets;
  • Conducted rigorous cross-validation of models to ensure their generalizability and robust performance;
  • Collaborated with interdisciplinary teams to define and refine project objectives, integrating statistical methodologies for data-driven decision-making;
  • Developed and optimized algorithms to address complex data challenges and improve predictive modeling accuracy;
  • Contributed to continuous improvement by staying abreast of the latest advancements in statistical and machine learning methodologies.
Project Tech stack:
Python
Machine learning
NumPy
Pandas
AI
Lead Data Scientist / Machine Learning
Nov 2021 - Feb 20223 months
Project Overview

The system systematically identifies and ranks leads of utmost importance, potentially bearing profitability, at each stage of the Sales Funnel. Employing sophisticated algorithms and analytical methodologies, it not only prioritizes leads, but also furnishes the sales team with insightful information. This contribution aids in strategic decision-making, thereby optimizing lead management efficacy.

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Responsibilities:

Andrii achieved the following:

  • Identified relevant data sources for business needs, collecting both structured and unstructured data;
  • Sourced missing data and organized datasets into usable formats to facilitate analysis;
  • Built predictive models and implemented machine learning algorithms to extract valuable insights;
  • Enhanced the data collection process to optimize efficiency and accuracy;
  • Contributed to the improvement of overall data quality and usability through systematic data organization and model building.
Project Tech stack:
Python
PyTorch
FastAPI
Data Science
Machine learning
AWS SageMaker

Languages

English
Advanced

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