Research Focus:

·   Corporate Finance: Capital structure, payout policy, mergers & acquisitions, impact of product & labor markets

·   Quantitative Methods: Network analysis, natural language processing, machine learning, neural networks

Technical Expertise:

·   Machine Learning & Deep Learning:

o   Proficient with ML APIs and packages (TensorFlow, Keras, Scikit-Learn, NumPy, SciPy, Pandas, Statsmodels, PyTorch)

o   Experienced with deep learning architectures (DNN, CNN, RNN, LSTM, Transformers, GANs, variational autoencoders)

·   Generative AI, RAG & LLMs:

o   Expertise in AI tools (LangChain, LangGraph, OpenAI API)

o   Applied advanced techniques (parent-retrieval, self-query retrievers, ensemble retrievers, hybrid search)

o   Proficient in vector databases & embedding models (FAISS, Azure Cognitive Search)

o   Extensive experience with NLP libraries (SpaCy, Hugging Face Transformers)

o   Skilled in building & fine-tuning LLMs (GPT-4, Gemini, Claude Sonnet 3.5)

o   Applied generative AI (RAG) for dynamic content, chatbots, recommendations

·   Natural Language Processing:

o   Text preprocessing and cleaning

o   Tokenization, stemming, and lemmatization

o   Named entity recognition (NER)

o   Sentiment analysis

o   Text classification and summarization

o   Topic modeling