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I am a highly analytical and intellectually curious Data Scientist with a strong foundation in Gen AI, mathematical modeling, logical reasoning, and problem-solving. With 15+ years of global experience delivering high-impact AI/ML solutions across fintech, healthcare, and retail, I specialize in Gen AI, NLP, time-series forecasting, predictive modeling, recommender systems, and deep learning. I have a proven track record of reviving failing AI initiatives and deploying end-to-end ML products in production.…I am a highly analytical and intellectually curious Data Scientist with a strong foundation in Gen AI, mathematical modeling, logical reasoning, and problem-solving. With 15+ years of global experience delivering high-impact AI/ML solutions across fintech, healthcare, and retail, I specialize in Gen AI, NLP, time-series forecasting, predictive modeling, recommender systems, and deep learning. I have a proven track record of reviving failing AI initiatives and deploying end-to-end ML products in production.

Sander Stepanov

Data Scientist, AI Engineer, AI Prompt Engineer, +5

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I am a highly analytical and intellectually curious Data Scientist with a strong foundation in Gen AI, mathematical modeling, logical reasoning, and problem-solving. With 15+ years of global experience delivering high-impact AI/ML solutions across fintech, healthcare, and retail, I specialize in Gen AI, NLP, time-series forecasting, predictive modeling, recommender systems, and deep learning. I have a proven track record of reviving failing AI initiatives and deploying end-to-end ML products in production.…I am a highly analytical and intellectually curious Data Scientist with a strong foundation in Gen AI, mathematical modeling, logical reasoning, and problem-solving. With 15+ years of global experience delivering high-impact AI/ML solutions across fintech, healthcare, and retail, I specialize in Gen AI, NLP, time-series forecasting, predictive modeling, recommender systems, and deep learning. I have a proven track record of reviving failing AI initiatives and deploying end-to-end ML products in production.

Available to hire

I am a highly analytical and intellectually curious Data Scientist with a strong foundation in Gen AI, mathematical modeling, logical reasoning, and problem-solving.

With 15+ years of global experience delivering high-impact AI/ML solutions across fintech, healthcare, and retail, I specialize in Gen AI, NLP, time-series forecasting, predictive modeling, recommender systems, and deep learning. I have a proven track record of reviving failing AI initiatives and deploying end-to-end ML products in production.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Russian

Advanced

Work Experience

Data Scientist at Jesta I.S.

December 31, 2024 - July 18, 2025

Developed AI ML demand forecasting and inventory optimization solutions for retail supply chains. Implemented hierarchical and intermittent time-series models and incorporated Gen AI techniques for text to SQL conversion using Python and Snowflake SQL.

Data Scientist at Relasoft Solutions

March 31, 2024 - July 18, 2025

Worked extensively with Gen AI including both answers and questions generation, LangChain, and LandGraph. Developed Semantic Search Relevance for sparse and dense text embeddings on platforms like OpenAI, GCP, and AWS. Specialized in Prompt Engineering and Retrieval Augmented Generation (RAG) techniques including Graph RAG and Agentic RAG with chunking for AI Agents. Managed fine-tuning of LLMs and optimized AWS SageMaker pipelines for hyperparameter tuning, scaling, and autoscaling in production environments.

Data Scientist at AMD

January 31, 2023 - July 18, 2025

Developed multivariate time-series models for streaming data with concept drift. Enabled smart resource allocation across computing centers, resulting in significant cost savings. Utilized Scikit-Learn and deep learning frameworks including PyTorch and TensorFlow.

Data Scientist at Relasoft Solutions

February 28, 2021 - July 18, 2025

Delivered recommender systems for fintech, fraud detection algorithms for insurance and healthcare sectors, and retail algorithmic marketing solutions. Utilized deep neural networks with TensorFlow, Keras, and PyTorch. Worked with Python libraries such as Pandas, PrestoDB SQL, pySPARK, Scikit-Learn, and GenSim for NLP tasks. Managed deployments on AWS SageMaker.

Data Scientist at UST-Global

March 31, 2020 - July 18, 2025

Implemented multivariate time series prediction models for transaction data and customer attrition/churn prediction. Developed social network recommendation systems and classification and clustering models for textual data processing using NLP techniques. Used PyTorch, TensorFlow, Scikit-Learn, and GenSim.

Data Scientist at SpryLogics

May 31, 2016 - July 18, 2025

Early adopter of AI methodologies for industrial product innovation. Developed deep neural networks for social network textual data and sport predictive analytics using Random Forest and GBM regression. Conducted sentiment analysis and language identification on textual data with Python, Theano, TensorFlow, and Scikit-Learn.

Machine Learning Research Engineer at Vivosonic Inc.

February 28, 2015 - July 18, 2025

Developed machine learning models that led to the best neuroscience product worldwide. Specialized in time series classification algorithms implemented in Python, Matlab, and C++.

Data Scientist at Tata Consultancy Services

September 1, 2025 - November 1, 2025

Developing Gen AI capabilities for synthetic data generation for BMO bank; worked with AWS Bedrock, Lambda, AWS CLI, and S3 to build scalableGen AI pipelines and data generation workflows.

Data Scientist at 3Pillar

July 1, 2025 - August 1, 2025

Developed Gen AI for Job Interview AI Voice Agent; built backend and frontend (Streamlit); implemented agent capabilities including interviewer guidance, candidate/interviewer behavior and intention detection, and message analysis with guardrails.

Data Scientist at Enterprise AI Solutions (eAIs)

January 1, 2025 - June 1, 2025

Designed and implemented a Python-based GenAI inbound phone solution for financial customer interactions; built a voice-enabled GenAI agent for live calls; developed real-time speech processing, dialogue flow control, and retrieval-augmented reasoning over internal financial knowledge; integrated OpenAI and Anthropic LLMs with low-latency pipelines.

Data Scientist at Relasoft Solutions

February 1, 2023 - March 1, 2024

Gen AI: both answers and questions generation; LangChain and LandGraph; Semantic Search Relevance for both sparse and dense text embeddings; Prompt Engineering; Retrieval Augmented Generation: Graph RAG and Agentic RAG; implemented on GCP and Azure; Fine Tuning LLMs; AWS SageMaker for tabular data predictive modeling with hyperparameter tuning, scaling and autoscaling.

Data Scientist at AMD

February 1, 2021 - January 1, 2023

Developed multivariate time-series model for streaming data with concept drift; Enabled smart resource allocation across computing centers, resulting in cost savings; used Scikit-Learn and Deep Learning frameworks.

Data Scientist at Relasoft Solutions

March 1, 2020 - February 1, 2021

Recommender Systems for FinTech; Fraud Detection; Insurance; Healthcare; Retail; Algorithmic Marketing; Deep Neural Networks (TensorFlow/Keras, PyTorch) for various domain problems.

Data Scientist at UST-Global

February 1, 2017 - March 1, 2020

Multivariate Time Series prediction for Transactions Data; Customer churn/attrition; NoSQL/SQL; Social Network: Recommendation System, Classification, Clustering; NLP.

Data Scientist at SpryLogics

May 1, 2015 - May 1, 2016

Early adopter of AI for industrial product innovation; Deep Neural Networks (Theano, Keras) for Social Network Textual Data; Sport Predictive Analytics; leveraged NLP techniques and ML tooling.

Machine Learning Research Engineer at Vivosonic Inc.

September 1, 2008 - February 1, 2015

Developed Machine Learning model resulting in worldwide best neuroscience product; Time Series Classification algorithms; product implemented in Python, Matlab, and C++.

Data Scientist at AMD (Advanced Micro Devices)

February 1, 2021 - January 1, 2023

Developed multivariate time-series models for streaming data with concept drift; enabled smart resource allocation across computing centers, resulting in cost savings. Worked with Scikit-Learn, PyTorch, and TensorFlow.