Unix, Python, Windows, RAG systems, AI frameworks, DevOps practices, prompt engineering, LLM orchestration, vector databases

Jax, Pytorch, Python, production-grade ML systems, building training data for LLMs, domain-specific evaluations

Containers, Testing, Python, Version Control, GenAI, RAG pipelines, agentic frameworks, system reliability, fine-tuning, cloud platforms, LLMOps, vector databases, observability tools, NLP frameworks

Jenkins, Prometheus, aws, MLops, Azure, Gcp, Technical Documentation, FastAPI, Grafana, Docker, python, Kubernetes, Flask, vector databases, ai security, mlflow, langchain, aiops, gitops, Collaboration, cloud platforms, Team Leadership, github actions, airflow, opentelemetry, responsible ai, kubeflow, ai/ml application development, Mentoring

Spark, Sql, Machine Learning, Data Architecture, Presto, Power Bi, Hive, Data Analytics, Python, Informatica, Nlp, Delta Lake, Apache Iceberg, Trino

data engineering , traceability , Databricks, Azure, GenAI, data pipelines, model training, LLMOps, GenAI Observability, cloud platforms, Ai, Statistics, Explainability, ML models, AI architecture, Llm, finetuning, ethical AI practices, regulatory frameworks, Anthropic models, OpenAI