Design Patterns, Java Development, Python development, Agile Development, Scalability, Performance, Cloud-based application development, Microsoft Azure Cloud, Prompt engineering, Object-oriented programming, Open AI, LLM models, Machine learning vector databases, System resiliency, Observability

Alteryx, PostgreSQL, Tableau, FastAPI, Python, Sql, AWS, AI frameworks

Weaviate), Retrieval-Augmented Generation (RAG), Vector databases (Qdrant, Large Language Models (LLMs), Docker, FastAPI, Python, SQL and NoSQL databases, LangChain, Context engineering, Generative AI, Prompt engineering, Async Programming, CI/CD pipelines, Pinecone, LlamaIndex

Python, async programming, Tooling, refactoring best practices, formatters, linters, performance optimization, Packaging

Tensorflow, Golang, Pytorch, Docker, Python, Kubernetes, Airflow, Kubeflow, KServe, MLflow, vector databases

S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

Csv, PowerShell, Pytest, Node.js, Json, Python, LangChain, GitHub Copilot, Azure OpenAI

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

telemetry , AWS, Distributed Systems, Logging, Java, Kubernetes, Python, Azure, Docker, Terraform, Google Cloud Platform, Cloud-native applications, Infrastructure as Code, Observability, oci, AI engineering concepts, tracing