error analysis , Tensorflow, Pytorch, Docker, Python, LangChain, Evaluation metrics, pgvector, Qdrant, Statistical testing, Container orchestration, MLflow, Pinecone, LLM orchestration frameworks, API integrations, Cloud deployments, Vector search engineering, LlamaIndex, MLOps fundamentals

Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Azure, Kubernetes, Python, AWS, Generative AI, LLMs, Scikit-learn, Agentic AI, RAG

probability , Tensorflow, Git, Nlp, Pytorch, Docker, Predictive Modeling, Python, Kubernetes, Generative AI, fine-tuning, scikit-learn, LLMs, statistical learning, Mathematics, time-series forecasting, calculus, prompt engineering, model evaluation, Optimization, Statistics, Mathematical Modeling, linear algebra

Svm, XGBoost, Python, Decision Trees, Clustering, MLops, Restful Apis, Agent reasoning patterns, Prompt engineering, Feature selection, scikit-learn, RAG systems, Data preprocessing, Conversation analytics, AI system observability frameworks, LLM conversational AI systems, Feature engineering, semantic search, AWS Sagemaker, LangChain, CrewAI, Vector databases, LightGBM, Ensemble models, Regression, Statistical Modeling, Agent frameworks, Context optimization

error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models

Tensorflow, Nlp, Jax, Pytorch, Python, ASR, TTS, Llm