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I’m Anna Boitsova, a Senior AI/ML Engineer with 9+ years of hands-on experience building practical, scalable ML systems. I blend deep learning, NLP, and full-stack development to deliver end-to-end solutions across healthcare, e-commerce, and finance. I enjoy turning complex research into production-ready products and mentoring teams to ship robust models fast. I’m passionate about reliable deployments on Kubernetes and cloud platforms, leveraging LLMs and RAG for real-time decision-making, and continuously improving models through experimentation, monitoring, and feedback loops. I thrive in collaborative environments and love sharing knowledge with cross-functional teams.…I’m Anna Boitsova, a Senior AI/ML Engineer with 9+ years of hands-on experience building practical, scalable ML systems. I blend deep learning, NLP, and full-stack development to deliver end-to-end solutions across healthcare, e-commerce, and finance. I enjoy turning complex research into production-ready products and mentoring teams to ship robust models fast. I’m passionate about reliable deployments on Kubernetes and cloud platforms, leveraging LLMs and RAG for real-time decision-making, and continuously improving models through experimentation, monitoring, and feedback loops. I thrive in collaborative environments and love sharing knowledge with cross-functional teams.

Anna Boitsova

AI Engineer, Data Scientist, Full Stack Developer, +2

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I’m Anna Boitsova, a Senior AI/ML Engineer with 9+ years of hands-on experience building practical, scalable ML systems. I blend deep learning, NLP, and full-stack development to deliver end-to-end solutions across healthcare, e-commerce, and finance. I enjoy turning complex research into production-ready products and mentoring teams to ship robust models fast. I’m passionate about reliable deployments on Kubernetes and cloud platforms, leveraging LLMs and RAG for real-time decision-making, and continuously improving models through experimentation, monitoring, and feedback loops. I thrive in collaborative environments and love sharing knowledge with cross-functional teams.…I’m Anna Boitsova, a Senior AI/ML Engineer with 9+ years of hands-on experience building practical, scalable ML systems. I blend deep learning, NLP, and full-stack development to deliver end-to-end solutions across healthcare, e-commerce, and finance. I enjoy turning complex research into production-ready products and mentoring teams to ship robust models fast. I’m passionate about reliable deployments on Kubernetes and cloud platforms, leveraging LLMs and RAG for real-time decision-making, and continuously improving models through experimentation, monitoring, and feedback loops. I thrive in collaborative environments and love sharing knowledge with cross-functional teams.

Available to hire

I’m Anna Boitsova, a Senior AI/ML Engineer with 9+ years of hands-on experience building practical, scalable ML systems. I blend deep learning, NLP, and full-stack development to deliver end-to-end solutions across healthcare, e-commerce, and finance. I enjoy turning complex research into production-ready products and mentoring teams to ship robust models fast.

I’m passionate about reliable deployments on Kubernetes and cloud platforms, leveraging LLMs and RAG for real-time decision-making, and continuously improving models through experimentation, monitoring, and feedback loops. I thrive in collaborative environments and love sharing knowledge with cross-functional teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

French

Beginner

Work Experience

Senior AI/ML Engineer at Artkai

January 1, 2025 - October 9, 2025

Led AI team on multiple projects: Legal Agreement Analysis Platform (BERT, PyTorch, TensorFlow for text classification; deployed LLMs, RAG; OCR via OpenCV CNN with MLflow; Kubernetes; latency reduced by 40%). Educational Chatbot (Botpress, LLM, RAG; AWS ML chat with Hugging Face Transformers; improved response accuracy by 30%). Back-ends for projects (Flask, FastAPI, Python, SQL) deployed on Kubernetes for 99.9% uptime. Generative AI Content Engine (PyTorch GANs, Diffusion Models) for legal content integrated with AWS (generation time reduced by 50%). Real-Time Fraud Detection System (PyTorch, TensorFlow anomaly detection with LLMs, RAG; MLflow; Kubernetes) achieving 95% accuracy and 30% fraud reduction.

AI Engineer / Data Scientist at Cloud Retail

January 1, 2022 - October 9, 2025

Product Categorization and Review Analysis Platform: Built BERT, PyTorch, TensorFlow models; LLM prompt engineering; OpenCV CNN; Spark MLlib; improved accuracy by 25%. MQ5 Trading Bots: MQ5, Spark MLlib, AWS ML bots with Solidity contracts for 92% market predictions. Recommendation Models: Spark MLlib collaborative filtering. Reinforcement Learning Optimization: PyTorch Q-Learning, AWS system for 15% revenue optimization.

AI Specialist at MindTitan

January 1, 2021 - October 9, 2025

Breast Cancer Detection: Keras and TensorFlow models with CNNs achieving 97% accuracy. Sarcoma Detection: PyTorch/TensorFlow models with bioinformatics, SQL for 98% sensitivity. Deep Learning Models: Keras/TensorFlow for segmentation, +20% precision. Multi-Modal Diagnostic System: PyTorch models for image, text, and audio (Speech Recognition) data. Advanced Medical Imaging System: PyTorch CNN/OpenCV for 97% image segmentation, anomaly detection; +25% diagnostics improvement.

ML Engineer / Full Stack Developer at Mooncascade

January 1, 2018 - October 9, 2025

House Price Forecasting: Regression models with Spark MLlib and Pandas. Front-ends for Websites: React, JavaScript, HTML, CSS with SQL. Predictive Models: XGBoost for churn and fraud detection. Speech-Enabled Analytics Tool: TensorFlow-based speech recognition with PyTorch; Django APIs for real-time property value analysis.

Senior AI/ML Engineer at Artkai

January 1, 2025 - October 9, 2025

Led AI initiatives as AI Team Lead: built and deployed an automated Legal Agreement Analysis Platform (text classification using BERT/PyTorch/TensorFlow; deployed LLMs and RAG; OCR via OpenCV CNN with MLflow; Kubernetes), reducing latency by 40%. Implemented an Educational Chatbot using Botpress, LLMs, RAG, and AWS ML services with Hugging Face Transformers, boosting response accuracy by 30%. Delivered robust Flask/FastAPI Python back-ends on Kubernetes achieving 99.9% uptime. Developed a Generative AI Content Engine with PyTorch GANs and diffusion models for legal content, integrated with AWS, cutting generation time by 50%. Built a Real-Time Fraud Detection System with PyTorch/TensorFlow anomaly detection and LLMs/RAG for transaction analysis, achieving 95% accuracy via MLflow and Kubernetes deployment, reducing fraud by 30%.

AI Engineer / Data Scientist at Cloud Retail

January 1, 2022 - October 9, 2025

Shaped product categorization and review analysis platform by fine-tuning BERT, PyTorch, TensorFlow models; applied HuggingFace transformers, LLM prompt engineering, OpenCV CNN, and Spark MLlib to improve accuracy by 25%. Led MQ5 trading bots architecture with Solidity contracts and Spark MLlib on AWS, achieving 92% market prediction capability. Contributed to recommendation models using Spark MLlib collaborative filtering. Designed reinforcement learning optimization with PyTorch Q-Learning and AWS infrastructure, delivering ~15% uplift in revenue.

AI Specialist at MindTitan

January 1, 2021 - October 9, 2025

Developed AI-powered medical imaging solutions: Breast Cancer Detection with Keras/TensorFlow CNN achieving 97% accuracy; Sarcoma Detection with PyTorch/TensorFlow achieving 98% sensitivity. Built deep learning models for segmentation with a ~20% precision improvement. Created a Multi-Modal Diagnostic System integrating image, text, and audio (Speech Recognition) data to improve diagnostic accuracy. Designed an Advanced Medical Imaging System using PyTorch CNN and OpenCV for 97% image segmentation and anomaly detection, boosting diagnostics by ~25%.

ML Engineer / Full Stack Developer at Mooncascade

January 1, 2018 - October 9, 2025

House Price Forecasting: built regression models with Spark MLlib and Pandas. Front-end development for websites using React, JavaScript, HTML, and CSS. Built predictive models with XGBoost for churn and fraud detection using Pandas and SQL. Speech-Enabled Analytics Tool: TensorFlow-based speech recognition with PyTorch for real-time property value analysis, integrated with Django APIs.

Senior AI/ML Engineer at Artkai

January 1, 2025 - October 9, 2025

Led AI team on multiple projects across healthcare, e-commerce, and finance. Implemented a Legal Agreement Analysis Platform using BERT, PyTorch, and TensorFlow for text classification; deployed LLMs with retrieval augmented generation (RAG); OCR via MLflow and OpenCV CNN, orchestrated on Kubernetes, achieving a 40% latency reduction. Built an Educational Chatbot with Botpress, LLM, RAG, and AWS ML integration, improving response accuracy by ~30%. Developed back-end services with Flask and FastAPI, plus Python and SQL back-ends deployed on Kubernetes for 99.9% uptime. Created a Generative AI Content Engine using PyTorch GANs and diffusion models for legal texts, integrated with AWS to cut content generation time by ~50%. Implemented Real-Time Fraud Detection using PyTorch and TensorFlow anomaly detection with LLMs and RAG, achieving 95% accuracy via MLflow and Kubernetes.

AI Engineer / Data Scientist at Cloud Retail

January 1, 2022 - October 9, 2025

Developed Product Categorization and Review Analysis Platform using BERT, PyTorch, and TensorFlow; applied Hugging Face models and LLM prompt engineering, with OpenCV CNN and Spark MLlib, increasing accuracy by 25%. Built MQ5 Trading Bots leveraging Solidity contracts, Spark MLlib, and AWS; delivered 92% market predictions. Assisted in Spark MLlib-based collaborative filtering for recommendations. Implemented Reinforcement Learning optimization with PyTorch Q-Learning and AWS deployment, achieving ~15% revenue improvement.

AI Specialist at MindTitan

January 1, 2021 - October 9, 2025

Developed Breast Cancer Detection models using Keras and TensorFlow with CNNs achieving 97% detection accuracy. Built Sarcoma Detection models with PyTorch/TensorFlow and bioinformatics-driven data, achieving 98% sensitivity. Led development of deep learning models for segmentation, improving precision by ~20%. Built a Multi-Modal Diagnostic System integrating image, text, and audio data (with Speech Recognition) to enhance diagnostic accuracy. Designed an Advanced Medical Imaging System with PyTorch CNNs and OpenCV, achieving 97% segmentation accuracy.

ML Engineer / Full Stack Developer at Mooncascade

January 1, 2018 - October 9, 2025

Developed House Price Forecasting using regression models with Spark MLlib; Built React, JavaScript, HTML, and CSS front-ends with SQL back-ends. Created Predictive Models using XGBoost for churn and fraud detection with Pandas and SQL. Built a Speech-Enabled Analytics Tool: TensorFlow-based speech recognition integrated with PyTorch and Django REST APIs for real-time property value analysis.