text classification , Sql, Git, Docker, Python, LangChain, multi-agent systems, embeddings, input output validation, RAG platforms, LLM-as-judge, offline eval sets, LLM-based inference, regression tracking, graph RAG, DSPy, feature engineering, NER, LlamaIndex

Pytorch, Data Visualization, Sql, Python

Tensorflow, Pytorch, Sql, Python, scikit-learn, MLOps practices and tools

Java, Scipy, PostgreSQL, Tensorflow, Numpy, REST, Pandas, Pytorch, Gcp, Docker, Sql Database, Azure, SQLServer, Oracle, Kubernetes, Python, Spring Framework, AWS

Node.js, Tensorflow, Typescript, Javascript, Pytorch, Docker, Kubernetes, Python, CrewAI, Generative AI, scikit-learn, Agent-to-Agent A2A protocols, Hugging Face Transformers, Model Context Protocol MCP, OpenAPI standards, AutoGen, LangGraph, NLP techniques, LLM technologies

simulated annealing , Machine Learning, Redshift, Sql, Nlp, Python, AWS, Generative AI, Testing discipline, heuristics, Integer Programming, Statistics, Schema definition, API service contract design, Optimization, SageMaker, Glue, Athena, Simulation

Pytorch, Sql, Python, Data Visualization

Numpy, Sql, Keras, Java, Pandas, Pytorch, Python, Docker, Javascript, scikit-learn, Langchain, RAG, OpenAI API

Sql, Python, Bayesian causal modeling, R, regression-based models, uplift modeling, cloud-based data platforms, causal inference techniques

MLops, Gcp, Neo4j, PostgreSQL, AWS, Python, Azure, Rdf, Apis, LangChain, LlamaIndex, cloud platforms, Weaviate, pgvector, GenAIOps, Pinecone, LLM-driven applications, LangGraph, RAG pipelines, architecture standards, Milvus, knowledge graph systems, benchmark model performance, vector databases, knowledge-grounding frameworks, GenAI microservices, Chroma, prompt engineering, Transformers