Tensorflow, Pytorch, Terraform, Docker, XGBoost, Python, BigQuery, Bash, Dataproc, Sql, MLops, Spark, DataFlow, Kubernetes, GenAI, Gemini Agent Builder, Cloud Build, Vector Search, GitHub Actions, Vertex AI, Kubeflow, RAG architectures, GKE, Scikit-learn, Vertex Pipelines, Model Deployment Automation, CI/CD

error analysis , tokenization , Machine Learning, Nlp, Pytorch, Python, Generative AI, Feature Engineering, model validation, Vector Search, Retrieval-Augmented Generation, Embeddings, Model Performance Tuning, Data Processing

Microservices, Distributed Systems, HITL, Python, LangChain, CrewAI, Prompt engineering, time-series modeling, gRPC APIs, LangSmith, AutoGen, LangGraph, Embeddings, scalable AI infrastructure, RAG, AI agents, LLM orchestration, Tool calling, LLM evaluation, cloud-native development

tokenization , Machine Learning, Unsupervised Learning, Text Mining, Deep Learning, Tensorflow, Nlp, Nltk, Pytorch, Distributed Computing, Big Data Technologies, Information Retrieval, Python, GenAI, Feature Engineering, Parallel Processing, R, semantic analysis, Lemmatization, SpaCy, Stemming

Orchestration, Django, React, FastAPI, Python, multi-step reasoning, Agentic AI, tool function calling, LLM APIs, Vector databases, RAG pipelines

Sql, Tensorflow, Numpy, Pandas, Pytorch, XGBoost, Python, Vector search, LangChain, Prompt engineering, RandomForest, LightGBM, LangSmith, Scikit-Learn, AutoGen, LangGraph, Agentic AI workflows, Embedding models, RAG architectures

containerization , Aws Services, orchestration technologies, generative AI, infrastructure-as-code tools, security best practices

Rest Api, Git, React, Docker, Azure DevOps, classical AI ML, Advanced prompt engineering, Generative AI application development, GitHub Actions, Azure services, full-stack application development, SQL databases, AI Coding platforms