Vamshi .

Senior Data Scientist & ML Engineer with 7+ years of experience building scalable AI solutions across diverse domains. Strong foundation in math and algorithms with expertise in ML, Deep Learning, NLP, GANs, LLMs, and Generative AI. Proven track record in deploying large-scale models, designing efficient ETL pipelines, and delivering end-to-end ML systems in cloud environments.Skills:Machine Learning: Linear/Logistic Regression, Decision Trees, Random Forest, SVM, XGBoost, KNN, K-Means, Fine-tuning (LoRA, QLoRA), Prompt Engineering, CNN, RNN, LSTM.NLP & Generative AI: RAG, LangChain, LlamaIndex, LLMs (ChatGPT 3.5/4, Mistral, LLaMA), Agents, Chains, RAGAS, Guardrails, AutoGen, CrewAI.Cloud Platforms: AWS (SageMaker, Glue, Bedrock), Azure (ML, Synapse), GCP (Vertex AI, Dataflow).Big Data: Spark, Kafka, Hive, HDFS, Airflow, FlinkProgramming: Python,Scala, R, C/C++, Shell Scripting, SQL Databases: PostgreSQL, MS SQL Server, MongoDB, Redis, Neo4j, Vector DBs (Pinecone, ChromaDB), SnowflakePython & ML Frameworks: Flask, FastAPI, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Hugging Face, Matplotlib, Seaborn, Selenium, Pytest.ETL & BI Tools: Airflow, AWS Glue, ower BI, SSIS,MLOps: Docker, Kubernetes, Jenkins, Git, MLflow, Kubeflow, VS Code, Jupyter, Markdown.