👨 I am a Data Scientist/AI & NLP Developer with 2+ years of experience in data science, generative AI and NLP. 👩‍💻 EDUCATION: I hold a Bachelor's in Computer Science and a Master's in Data Science. I have been proficient in Python for 2+ years, and I have completed various data science and machine learning certifications. 🎯 SPECIALIZATION: My specialization lies in NLP and transformer-based models, particularly large language models, and the development of RAG and semantic search-based question-answering systems, chatbots, and agents using state-of-the-art NLP techniques. However I have also applied traditional NLP methods on different projects. ✅ PROJECTS: I have worked on projects including following AI topics: 1. RAG (including Automatic Data Generation for Evaluation, Evaluation Pipeline, building custom document loader for pdf, word, csv, excel etc) 2. Information Retrieval and Semantic Search 3. Customized Agents using BabyAGI or ReAct 4. Vector databases, RDMS (SQL) and Embedding models 5. Adaption of prompt engineering and LLM-related tools with different languages 6. Text Classification (Sentiment Analysis) 7. Question Answering Systems and Chatbots 8. Topic Modeling 9. Fine-tuning transformers for downstream tasks 10. Computer Vision: Image Classification and OCR 11. Speech Recognition 12. API Development and Integration…👨 I am a Data Scientist/AI & NLP Developer with 2+ years of experience in data science, generative AI and NLP. 👩‍💻 EDUCATION: I hold a Bachelor's in Computer Science and a Master's in Data Science. I have been proficient in Python for 2+ years, and I have completed various data science and machine learning certifications. 🎯 SPECIALIZATION: My specialization lies in NLP and transformer-based models, particularly large language models, and the development of RAG and semantic search-based question-answering systems, chatbots, and agents using state-of-the-art NLP techniques. However I have also applied traditional NLP methods on different projects. ✅ PROJECTS: I have worked on projects including following AI topics: 1. RAG (including Automatic Data Generation for Evaluation, Evaluation Pipeline, building custom document loader for pdf, word, csv, excel etc) 2. Information Retrieval and Semantic Search 3. Customized Agents using BabyAGI or ReAct 4. Vector databases, RDMS (SQL) and Embedding models 5. Adaption of prompt engineering and LLM-related tools with different languages 6. Text Classification (Sentiment Analysis) 7. Question Answering Systems and Chatbots 8. Topic Modeling 9. Fine-tuning transformers for downstream tasks 10. Computer Vision: Image Classification and OCR 11. Speech Recognition 12. API Development and IntegrationWWWW…