Machine Learning, Sql, Deep Learning, Tensorflow, Pytorch, MLops, Python, Generative AI, RAG, CI/CD, Pipeline Orchestration, MCP

Predictive Modeling, Machine Learning Algorithms, Predictive Analytics, Python, R

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Machine Learning Algorithms, Sql, Random Forest, Pca, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

data engineering , Sql, Deep Learning, Rest Apis, MLops, Gcp, Data Architecture, Machine Learning, AWS, Kubernetes, Python, Azure, Docker, AI Security, LLMs, LlamaIndex, LLMOps, CI CD, Weaviate, RAG AI Agents, LangChain, CrewAI, Pinecone, LangGraph, Milvus, Governance, Vector Databases, Chroma, Generative AI

Natural Language Inference (NLI), Named Entity Recognition (NER), Small Language Models (SLMs), Conversational AI systems, Generative AI, Contrastive learning, SLM adaptor fine tuning, Graph learning based embedding methods, Active learning pipelines, Retriever frameworks in Q&A bots

Github, Machine Learning, Tensorflow, Numpy, Pandas, MLops, Pytorch, Azure Functions, Docker, XGBoost, Databricks, Azure Machine Learning, Python, Kubernetes, Azure DevOps, Azure Monitor, scikit-learn, LightGBM, MLflow, Azure Container Apps, Application Insights

data engineering , Data Extraction, Web Scraping, Deep Learning, MLops, Data Analytics, AWS, Python, Azure, Nlp, DL frameworks, Data Communication, entity recognition, LLMOps, cloud platforms, synthetic data techniques, Multimodal AI, RAG, AI Agents, Git-based CI CD workflows, Generative AI

Cloud Computing, Machine Learning, Data Science, Natural Language Processing, Python, Analytical