Algorithms, Machine Learning, data structures, Python, AI ML solutions, Generative AI, AI concepts, software development concepts, LLM-based applications

C++, Cloud Infrastructure, Pytorch, Python, Large-scale retrieval, On-device deployment, Evaluation harnesses, Go, AI-assisted coding, TensorRT, Machine learning models, Video understanding, VLM embedding models, TFLite, ONNX Runtime, SNPE, LLM or agent-based applications, Annotation pipelines, Agentic development tools, Distributed training

.NET, Redis, Docker, MongoDB, Azure AI Evaluation SDK, multimodal AI solutions, model fine-tuning techniques, event-driven architectures, Claude, AKS, Azure OpenAI, Azure Container Apps, LoRA, Ragas, embedding model evaluation, Promptfoo

Software Qa, Exploratory Testing, Regression Testing, Git, Docker, Api Testing, Test Case Design, DB and Backend Validation, LLMs, quality engineering, Embeddings, RAG, Prompt Engineering, Cloud Environments

Advanced Sql, Power Bi, Databricks, Python, Salesforce, multi-agent frameworks, MCP Model Context Protocol, A2A Agent-to-Agent

Python, Tensorflow, Django, Machine Learning, Kafka, AWS, Angular, Pytorch, Kubernetes, Azure, Gcp, Docker, Flask, Responsible AI practices, Microsoft Copilot Studio

PostgreSQL, Docker, Python, Databases, Apis, Redis, Cloud Infrastructure, RAG embeddings, pgvector, memory context management, tool-calling systems, backend fundamentals, vector databases, LangGraph, OpenAI Agents SDK, production infrastructure, Multimodal AI, LLM evaluation, observability, LLM AI systems, PydanticAI, async systems, agentic workflows, Hybrid search reranking, stateful AI systems, MCP, LlamaIndex

Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations, AI frameworks

Python, LangChain, LLM deployment, AI Agents, tool calling, MCP Servers, memory sharing, LangGraph, Agentic AI, RAG, deploying and integrating LLM-based applications, Langflow