Gcp, Java, Automated Testing, Devops, Typescript, MLops, Python, Vertex AI, infrastructure as code, GenAI, AI agents, observability, agentic AI

Python, Async workflows, Agent design patterns, Fine-tuning, Prompting strategies evaluation, Inference tradeoffs, Model optimization, APIs integrations

Java, Automated Testing, Python, Devops, Gcp, Typescript, MLops, agentic AI solutions, Vertex AI, observability, infrastructure as code, GenAI

Sql, Python, R, Production frameworks, Classical ML methods, Advanced ML DL approaches

Tensorflow, Sql, Prometheus, Splunk, Pytorch, Python, Elk, Pandas, Spark, MLflow, Flink, Scikit-learn

Falcon, Python, model optimization techniques, OpenAI GPT, LLaMA, LLMs, deep learning frameworks, vector databases, Claude, prompt engineering, Mistral, FAISS, ChromaDB, Weaviate

Data Warehousing, Typescript, MLops, Kubernetes, Python, AWS, LangChain, Infrastructure as Code, data pipelines, CI CD, LangGraph, ETL processes, Amazon Bedrock

Kubernetes, Python, Airflow, Generative AI, GitHub-based workflows, Applied AI, Data pipelines, Cloud-based development

Ml, Python, Airflow, GenAI, GitHub-based workflows, Applied AI, Cloud-based development and deployment environments, Kubernetes-based deployments, Data pipelines