RAG (Retrieval-Augmented Generation), React Js, Api Development, Typescript, MLops, Gcp, Python, LangChain, GenAI, DeepEval, AI Agents, pegasus, API Gateways, LangSmith, Microservices architecture, Llm, LangGraph, Ragas, ISTIO

model design , Alteryx, Power Bi, Tableau, Sql, Spark, Python, supervised models, Optimization, unsupervised models, Cloud based platform, Deployment

text classification , Machine Learning, Data Science, Nlp, Summarization, Python, Entity Extraction, Feature Engineering, Model Training, Transformer-based Models, Data Collection, Topic Modeling, Embeddings, semantic search

Java, Hive, Hadoop, Python, Sql, Operations Research

Tensorflow, Machine Learning, Power Bi, XGBoost, Python, Sql, scikit-learn, statistical models

Java, Machine Learning, Hive, Scala, Spark, Python, Sql, Deep Learning, Supervised and Unsupervised Machine Learning Algorithms, Statistics

Technical Documentation, Machine Learning, Bug Fixing, Data Visualization, Python, Statistical Analysis, Data Analysis, Troubleshooting, reinforcement learning

version control practices, statistical analysis methods, data science techniques, Analytical Techniques

data engineering , Data Governance, embedding pipelines, enterprise data lakes, Microsoft Azure AI, RAG strategies, Applied AI, Analytics Engineering, Responsible AI compliance, context engineering, Microsoft Fabric OneLake, Amazon AWS Bedrock, semantic retrieval models, LlamaIndex, retrieval pipelines, chunking approaches

Gcp, Python, Sql, Api Development, Visualization, Gen AI, Machine Learning frameworks, Statistics, Llm