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

Kubernetes, Java, Python, Docker, Metaflow, Kubeflow, MLflow, TFX, Go, Google Vertex AI, AWS SageMaker

Python, Computer Vision, Deep Learning, Tensorflow, Machine Learning, Opencv, Pytorch, LLMs, Fine-tuning, OCR engines, GenAI, Prompting, GenAI systems, PIL

data engineering , Python, Pandas, Numpy, Pytorch, scikit-learn, Testing and release, Development processes, Source control management, Build processes, Production ML systems, ML pipelines, ELT data pipelines, ML research methodologies

Spark, Sql, Kafka, Machine Learning, MLops, AWS, Python, Kubernetes, Docker, Ai, anomaly detection, Time-series forecasting, Real-time data processing

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

data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks