🚀 Experienced and innovative Data Scientist and AI Engineer with 8 years of expertise in Machine Learning, NLP, Generative AI, Software Development, Predictive Modeling and data-driven insights. 🚀 A quote by Alan Turing that deeply resonates with me states: "We may hope that machines will compete with men in all purely intellectual fields. Machines will do whatever we ask them to, and if we know how to ask the right questions, they may give us better answers than we can give ourselves." - This perspective is what initially aligned me with the field of Data Science and AI where framing the right questions is as critical as building intelligent systems. 🚀 Tech Stack: 🖥️ Programming Language : Python, Scala 🛢️ Database : MySQL, MSSQL, DynamoDB, ADLS, CosmosDB, DBFS, MongoDB 🤖 ML & DL : Statistical Modeling, Feature Engineering, Regression, Classification, Clustering, Hypothesis Testing, MLOps, AutoML, Neural Networks, CNN, RNN, LSTM 🧩 Generative AI : LLM, RAG, AI Agents, MCP, Transformers, Prompt Engineering, Fine-Tuning, Model Evaluation, LangChain, LlamaIndex 📚 Embeddings & Vector Search : Amazon OpenSearch, FAISS, Pinecone, ChromaDB, Embedding Models (OpenAI, AWS Titan), AWS Bedrock Knowledge Bases, Milvus ☁️ Cloud Deployment Platforms & Tools : AWS, Azure, Lambda, ECS, S3 Azure ML, Azure Container Apps, Docker, Heroku 🧮 Data Science Libraries : NumPy, Pandas, PySpark, scikit-learn, TensorFlow, Keras, PyTorch, Scipy, MLlib, NLTK, Spacy, Gensim 🧠 NLP Models : BERT, GPT, ELECTRA 📈 Big Data Processing : Spark, Hadoop, Kafka, Databricks, Data Factory, Synapse Analytics 📊 Visualization Tools : Matplotlib, Seaborn, Dask, Plotly, Bokeh, PowerBI, Tableau 🔌 API Development : FastAPI, Flask, Streamlit 🖥️ IDE : PyCharm, VsCode, Jupyter Notebook, Spyder 🧪 Testing : PyTest, Unittest, Postman, Swagger UI 📋 Project Management / Version Control : JIRA, Git, Azure DevOps, Confluence 🌐 You can also connect with me via : ✉️ cakash18@gmail.com