Leading the development of Generative AI solutions leveraging NLP, Large Language Models, and AI/ML technologies. Specialized in building AI-driven tools that enhance developer productivity and accelerate innovation.
Interactive demo showcasing Named Entity Recognition capabilities using state-of-the-art BERT models. Extract and classify entities from text in real-time.
Advanced question answering system powered by Mistral AI. Ask questions about any text context and get accurate, contextual responses in real-time.
Advanced topic modelling and text summarization system. Extract key topics and generate concise summaries from large text documents automatically.
Compare two texts to determine if they agree, contradict, or are neutral. Advanced natural language inference for semantic relationship detection.
Interactive conversational AI chatbot powered by advanced language models. Ask questions, get answers, and have natural conversations like ChatGPT.
Compare two sentences or paragraphs and see how similar their meanings are, using sentence-transformer embeddings and cosine similarity.
Turn raw text into a mini knowledge graph of entityβrelationβentity triples, visualized as connected nodes and edges.
Published research on "Probing the SpanBERT architecture to interpret scientific domain adaptation challenges for coreference resolution" at the AAAI Conference.
Co-authored the chapter "Knowledge Graph from Informal Text: Architecture, Components, Algorithms and Applications" in the book "Applications of Machine Learning."
Developed a graph-driven test case generation system for domain-specific requirements, automating AI support in software engineering contexts.
Named Entity Recognition in Software Engineering as a Service - an innovative tool for extracting entities from software engineering documents.
GPT, Copilot, Mixtral, Mistral, Azure ML, LangFuse, LLM Ops, TensorFlow, PyTorch, FAST API, Prompt Tuning
NLTK, Named Entity Recognition, Document Classification, Sentence Similarity, Coreference Resolution, Summarization
NEO4J, Graphviz, NetworkX, Matplotlib, Seaborn, Plotly, Power BI, Tableau
Azure Data Factory, Vector DBs (Pinecone, FAISS, LanceDB), MySQL, Graph Databases, Azure Deployments