Anna Boitsova
Senior AI/ML Engineer
Experience
Senior AI/ML Engineer
Artkai
- AI team lead Legal Agreement Analysis: Platform: BERT, PyTorch, TensorFlow for text classification; deployed LLMs, RAG, OpenCV for OCR via MLflow, Kubernetes—reduced latency 40%.
- Educational Chatbot: Engineered ML chatbot with Hugging Face Transformers, OpenAI APIs, LangChain, LLM, RAG, boosting response accuracy 30%.
- Back-ends for Projects: Built Flask, FastAPI, Python, SQL back-ends; deployed on Kubernetes for 99.9% uptime.
- Generative AI Content Engine: Created GANs, diffusion models for legal content; integrated with AWS—cut generation time 50%.
- Real-Time Fraud Detection System: Engineered anomaly detection with LLMs, RAG for transaction analysis; achieved 95% accuracy via MLflow, Kubernetes deployment; reduced fraud 30%.
AI Engineer / Data Scientist
Cloud Retail
- Product Categorization and Review Analysis: Built BERT, PyTorch, TensorFlow, Hugging Face models with LLM prompt engineering, OpenCV CNN, Spark MLlib; improved accuracy 25%.
- MQ5 Trading Bots: Engineered MQ5, Spark MLlib, AWS ML bots with Solidity contracts; achieved 92% market predictions.
- Recommendation Models: Assisted with collaborative filtering.
- Reinforcement Learning Optimization: Designed PyTorch Q-Learning AWS system; optimized revenue by 15%.
AI Specialist
MindTitan
- Breast Cancer Detection: Developed Keras and TensorFlow models and image processing with CNNs; achieved 97% accuracy.
- Sarcoma Detection: Built PyTorch and TensorFlow models with bioinformatics and SQL; achieved 98% sensitivity.
- Developed Deep Learning Models: Created Keras and TensorFlow segmentation models; improved precision 20%.
- Multi-Modal Diagnostic System: Integrated PyTorch models for image, text, and audio data (using speech recognition); enhanced diagnostic accuracy.
- Advanced Medical Imaging System: Designed PyTorch CNN and OpenCV for image segmentation and anomaly detection; improved diagnostics 25%.
ML Engineer / Full Stack Developer
Mooncascade
- House Price Forecasting: Developed regression models with Spark MLlib and Pandas.
- Front-ends for Websites: Built React, JavaScript, HTML, and CSS front-ends with SQL.
- Built Predictive Models: Engineered XGBoost models for churn and fraud detection with Pandas and SQL.
- Speech-Enabled Analytics Tool: Developed a TensorFlow-based speech recognition system with PyTorch for real-time property value analysis; integrated with Django APIs.
Industry Experience
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Experienced in Information Technology, Education, Banking and Finance, and Healthcare.
Business Area Experience
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Experienced in Product Development, Information Technology, Research and Development, and Business Intelligence.
Summary
I am a Senior AI/ML Engineer with +9 years of expertise in deep learning, NLP, and full-stack ML systems.
I have led impactful deployments in healthcare, e-commerce, and finance using PyTorch, TensorFlow, AWS, and LLMs.
Skills
- Ai & Machine Learning: Python, R, Tensorflow, Pytorch, Scikit-learn, Keras, Pandas, Numpy, Bioinformatics, Prompt Engineering, Aws Machine Learning, Rag, Deep Learning, Cnn, Llms, Nlp, Llm Fine-tuning, Hugging Face Transformers, Openai Apis, Langchain, Reinforcement Learning, Computer Vision, Speech Recognition, Generative Ai
- Software Development: C#, Flask, Fastapi, Docker, Sql, Sql Server, React, Javascript, Html, Css, Xamarin, Git, Ci/cd Pipelines, Rest Apis, Graphql, Kubernetes, Microservices
- Blockchain & Finance: Blockchain, Solidity, Mq5 Trading, Financial Data Analysis, Smart Contracts, Dapps
- Quality Assurance (Qa): Qa Testing, Sql-driven Test Cases, Unit Testing (Pytest, Unittest), Test Automation, Continuous Testing
- Cloud & Mlops: Mlops, Aws, Deployment Pipelines, Scalable Data Pipelines, Google Cloud Vertex Ai, Azure Ml, Model Monitoring, Spark Mllib, Feature Stores, Model Deployment With Kubernetes, Mlflow, Weights & Biases, Data Version Control (Dvc)
- Tools & Platforms: Jupyter, Vs Code, Colab, Github, Gitlab, Docker Hub, Postman, Notion, Confluence, Jira, Trello, Slack
- Other Technical: Botpress, Data Preprocessing, Image Processing, Api Development, Data Visualization (Matplotlib, Seaborn, Plotly, Tableau, Power Bi), Big Data Tools (Spark, Hadoop), Agile, Scrum
- Communication: Technical Documentation, Cross-functional Collaboration, Requirements Gathering, Code Reviews, Mentoring Juniors
Languages
Education
Tallinn University
Master of Artificial Intelligence · Artificial Intelligence · Tallinn, Estonia
Tallinn University
Bachelor of Computer Science · Computer Science · Tallinn, Estonia
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Experience
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