Svetlana M.
AI / ML Engineer | Multi-Agent Systems | Data Science | Bioinformatics
I have over 15 years of experience in IT, starting my career as a software engineer and gradually transitioning into the field of data and artificial intelligence. Currently, my focus is on AI, machine learning, and intelligent systems, where engineering thinking is combined with a strong analytical approach. I have experience in developing complex systems, working with data, and building NLP and LLM-based solutions. Since 2017, I have been engaged in academic research as part of my PhD, focusing on text processing and data analysis. I have worked on AI-driven projects in the healthcare and finance domains, and have also contributed to an international research initiative, Pathogenomics & Biosecurity (University of Alaska Anchorage, Kyiv School of Economics), focused on genomics of emerging viruses, bioinformatics, and epidemiological monitoring systems for infectious diseases Skills & Interests Bioinformatics: Genomics, Metagenomics, RNA-seq, NGS, Sequence Analysis, Genome Annotation, AMR, Phage Biology, Biological Data Pipelines AI / Agents: Claude, OpenAI API, LangGraph, LangChain, Langfuse, LagSmith, Langfuse, AWS Bedrock, Vector DB ML / DL: PyTorch, TensorFlow, Pandas, Predictive Modeling, Regression Models, RAG, CAG, Embeddings Software Engineering: Python, Node.js, TypeScript , React, FastAPI, Django , REST, GraphQL, JWT, Auth0, Keycloak, Kafka, Celery Architecture: Microservices, Event-Driven Systems Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, SQLAlchemy, Alembic, QLDB, Big Query, Dynamo DB, RDS Cloud: AWS, Azure, EC2, RDS, AWS Bedrock, Lex, Docker, LocalStack, Logging: DataDog, Grafana , Prometheus