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I'm Vasyl Shafran, an AI Engineer with 7+ years of experience specializing in NLP, large language models (LLMs), and data science techniques. I have delivered high-impact AI projects across diverse industries, leveraging cutting-edge frameworks like TensorFlow and PyTorch to deploy end-to-end solutions from data preprocessing to production. I am a strong advocate for remote work and effective collaboration with global teams. I am passionate about innovation in AI, including generative AI, reinforcement learning, and scalable model development. I thrive on turning ideas into robust products and enjoy contributing across the full AI lifecycle—from data collection and preprocessing to deployment and monitoring—while maintaining a user-centric focus and strong communication with stakeholders.…I'm Vasyl Shafran, an AI Engineer with 7+ years of experience specializing in NLP, large language models (LLMs), and data science techniques. I have delivered high-impact AI projects across diverse industries, leveraging cutting-edge frameworks like TensorFlow and PyTorch to deploy end-to-end solutions from data preprocessing to production. I am a strong advocate for remote work and effective collaboration with global teams. I am passionate about innovation in AI, including generative AI, reinforcement learning, and scalable model development. I thrive on turning ideas into robust products and enjoy contributing across the full AI lifecycle—from data collection and preprocessing to deployment and monitoring—while maintaining a user-centric focus and strong communication with stakeholders.

Vasyl Shafran

AI Engineer, Data Scientist, Data Analyst, +2

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I'm Vasyl Shafran, an AI Engineer with 7+ years of experience specializing in NLP, large language models (LLMs), and data science techniques. I have delivered high-impact AI projects across diverse industries, leveraging cutting-edge frameworks like TensorFlow and PyTorch to deploy end-to-end solutions from data preprocessing to production. I am a strong advocate for remote work and effective collaboration with global teams. I am passionate about innovation in AI, including generative AI, reinforcement learning, and scalable model development. I thrive on turning ideas into robust products and enjoy contributing across the full AI lifecycle—from data collection and preprocessing to deployment and monitoring—while maintaining a user-centric focus and strong communication with stakeholders.…I'm Vasyl Shafran, an AI Engineer with 7+ years of experience specializing in NLP, large language models (LLMs), and data science techniques. I have delivered high-impact AI projects across diverse industries, leveraging cutting-edge frameworks like TensorFlow and PyTorch to deploy end-to-end solutions from data preprocessing to production. I am a strong advocate for remote work and effective collaboration with global teams. I am passionate about innovation in AI, including generative AI, reinforcement learning, and scalable model development. I thrive on turning ideas into robust products and enjoy contributing across the full AI lifecycle—from data collection and preprocessing to deployment and monitoring—while maintaining a user-centric focus and strong communication with stakeholders.

Available to hire

I’m Vasyl Shafran, an AI Engineer with 7+ years of experience specializing in NLP, large language models (LLMs), and data science techniques. I have delivered high-impact AI projects across diverse industries, leveraging cutting-edge frameworks like TensorFlow and PyTorch to deploy end-to-end solutions from data preprocessing to production. I am a strong advocate for remote work and effective collaboration with global teams.

I am passionate about innovation in AI, including generative AI, reinforcement learning, and scalable model development. I thrive on turning ideas into robust products and enjoy contributing across the full AI lifecycle—from data collection and preprocessing to deployment and monitoring—while maintaining a user-centric focus and strong communication with stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer at Camper

July 1, 2025 - September 5, 2025

Designed and deployed Generative AI solutions to enhance customer experience by integrating language models such as OpenAI GPT-4 into interactive applications, enabling automated content generation, summarization, and conversational capabilities. Fine-tuned pre-trained LLMs on domain-specific data to improve relevance and accuracy for enterprise use cases, achieving 17% increase in model performance. Architected RAG pipelines using vector databases (Pinecone, Weaviate) and embedding models (OpenAI, SentenceTransformer) for real-time, context-aware responses. Developed and fine-tuned advanced LLMs with PyTorch, boosting model accuracy by 15% through optimized training and hyperparameter tuning. Led a real-time text processing project to analyze patient feedback in healthcare, improving service delivery, and leveraged ML techniques to identify patterns in patient records to inform personalized treatment plans.

Data Scientist at Incode Group

May 1, 2023 - September 5, 2025

Deployed sentiment analysis models using NLTK on customer feedback data with 94% accuracy. Developed MySQL triggers for real-time data validation, reducing data entry errors by 56% and maintaining regulatory compliance. Created data analysis pipelines using Pandas, enabling the team to process 4x more data. Performed keyword extraction and document classification of service request cases using unsupervised LDA. Conducted data analysis and model training using AWS SageMaker, integrating Python and AWS Lambda for automated, scalable solutions. Implemented a CI/CD pipeline using Google Cloud Build, reducing time-to-market for new features by 50%.

Machine Learning Engineer at Sigma Software Group

December 1, 2019 - September 5, 2025

Contributed to the development and optimization of machine learning models for classification and regression tasks, enhancing model accuracy by up to 95% through data augmentation and feature engineering. Collaborated with senior engineers to streamline data preprocessing pipelines, reducing cleaning time by 50%. Applied neural networks (CNNs, RNNs, LSTMs) to large datasets, boosting prediction accuracy. Worked with cloud environments (AWS and Google Cloud) to deploy and scale AI solutions, and partnered with cross-functional teams to deploy models into production, improving system performance by 20%.

Machine Learning Intern at Maxpay

August 1, 2018 - September 5, 2025

Assisted in developing machine learning models for classification and regression tasks, improving prediction accuracy by 95%. Optimized data preprocessing pipelines, reducing data cleaning time by 50%. Worked with large datasets applying data augmentation and feature engineering to enhance model performance. Collaborated with cross-functional teams to integrate machine learning models into production, improving overall system performance by 20%.

AI Engineer at Camper

July 1, 2025 - September 5, 2025

Designed and deployed Generative AI solutions by integrating language models such as OpenAI GPT-4 into interactive applications, enabling automated content generation, summarization, and conversational capabilities. Fine-tuned domain-specific LLMs to improve relevance and accuracy for enterprise use cases, achieving a 17% increase in model performance. Architected retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate) and embedding models (OpenAI, SentenceTransformers) to deliver accurate, context-aware responses in real time. Developed and fine-tuned advanced LLMs using PyTorch, improving model accuracy by 15% through optimized training techniques and hyperparameter tuning. Led a project analyzing patient feedback with text-processing approaches to improve service delivery in healthcare and leveraged ML on patient records to inform personalized treatment plans.

Data Scientist at Incode Group

May 1, 2023 - September 5, 2025

Deployed sentiment analysis models using NLTK on customer feedback data with 94% accuracy. Developed MySQL triggers for real-time data validation, reducing data entry errors by 56% and maintaining regulatory compliance. Created data analysis pipelines using Pandas, enabling the team to process 4x more data. Executed keyword extraction and document classification with unsupervised LDA. Conducted data analysis and model training using AWS SageMaker, integrating Python and AWS Lambda for automated, scalable solutions across multiple business functions. Engineered a robust CI/CD pipeline using Google Cloud Build, which reduced time-to-market for new features by 50%.

Machine Learning Engineer at Sigma Software Group

December 1, 2019 - September 5, 2025

Contributed to the development and optimization of ML models for both classification and regression tasks, enhancing model accuracy by up to 95% via data augmentation and feature engineering. Collaborated with senior engineers to streamline data preprocessing pipelines, reducing cleaning time by 50%. Applied neural networks (CNNs, RNNs, LSTMs) to large datasets, leading to substantial improvements in prediction accuracy. Worked with cloud technologies (AWS and Google Cloud) to facilitate deployment and scaling of AI solutions. Partnered with cross-functional teams to deploy ML models into production, resulting in a 20% improvement in system performance and operational efficiency.

Machine Learning Intern at Maxpay

August 1, 2018 - September 5, 2025

Assisted in developing machine learning models for classification and regression tasks, improving prediction accuracy. Collaborated to optimize data preprocessing pipelines, reducing data cleaning time by 50%. Worked with large datasets applying data augmentation techniques and feature engineering to enhance model performance. Collaborated with cross-functional teams to integrate machine learning models into production systems, improving overall system performance by 20%.