Generative AI (GenAI), Hadoop), Big Data Platforms (e.g., Generalized Linear Models (GLM), Github, Machine Learning, Neural Networks, Sql, Tensorflow, Pytorch, Databricks, Python, Spark

Retrieval-Augmented Generation (RAG), C#, C++, Clustering, Deep Learning, Numpy, Pytorch, Pandas, Decision Trees, Python, Etl, LangChain, Ensembles, CNNs, LangGraph

Nlp, Pytorch, Python, Prompt engineering, RAG architecture, transfer learning, production AI solutions, Hugging Face, LLM fine-tuning techniques, model deployment, PEFT adapters, LoRA, Transformers, LLM orchestration, Transformer architectures

.Net Core, C#, Jtag, I2c, C++, SQL Server, Claude, Azure OpenAI, LangGraph, LLM APIs, Qwen, Mistral, LangChain, CrewAI, Unit testing frameworks, AI development tools, Codex, Anthropic, Semantic Kernel, AutoGen, GitHub Copilot, Llama, OpenAI, I3C, Gemini

memory allocation policies, parallel processing architectures, profiling code, neural network architectures, NPU micro-architecture, TensorFlow Lite, ONNX Runtime, performance monitoring tools, model optimization and compression techniques, deep learning fundamentals, NPU-specific compilers, Windows Performance Toolkit, PyTorch Mobile

.Net Core, C#, Jtag, I2c, C++, SQL Server, Claude, Azure OpenAI, LangGraph, LLM APIs, Qwen, Mistral, JSON schema, Pydantic, LangChain, CrewAI, AI development tools, Codex, Anthropic, Semantic Kernel, prompt engineering, AutoGen, GitHub Copilot, Llama, unit testing frameworks, OpenAI, I3C, Gemini

PostgreSQL, Docker, FastAPI, Python, Kubernetes, LangChain, embedding strategies, pgvector, RAG pipeline architecture, prompt lifecycle management, vector database selection, Azure OpenAI, LLM engineering, LangGraph, retrieval strategies, Langfuse, context management strategies

developing production-grade backend services using Python, observability and monitoring tools, relational and non-relational databases, infrastructure-as-code, cloud provisioning frameworks such as Terraform or CloudFormation, identity and access management technologies, container orchestration such as ECS Fargate, secrets management, pipeline automation with Azure DevOps, networking and load balancing, LLM API gateway technologies, asynchronous programming frameworks, multi-provider integration across major cloud AI platforms, containerisation with Docker