Apis, Microservices, system integration, MLops, Microsoft Azure, AWS, cloud-native solution development, continuous integration for AI models, AWS Developer CLI, Agentic AI solutions, GitHub Copilot, AI-assisted coding tools, vibe coding environments

Tensorflow, MLops, Pytorch, XGBoost, AWS, Python, Kubernetes, Docker, Apis, Microsoft Azure, Google Cloud Platform, Weaviate, LlamaIndex, Prompt Engineering, Semantic Kernel, AI Agents, LangChain, Pinecone, ChromaDB, Scikit-learn, vector databases, Generative AI technologies, Azure AI Search, Conversational AI solutions, microservices architecture, FAISS

Data Factory, Emr, Data Warehousing, Tensorflow, DataFlow, Deep Learning, Etl, Pytorch, Gcp, ELT, S3, Apache Spark, AWS, Python, Azure, Nlp, Generative AI, LLMs, HDInsight, LlamaIndex, Hugging Face, LangChain, Pinecone, ChromaDB, RAG architectures, FAISS

Test Strategies, Apis, Performance Testing, UI, test automation frameworks, Data Validation, model performance testing, ML models

Exploratory Data Analysis, Sql, Tensorflow, Nosql, Azure ML, Pytorch, XGBoost, Python, Etl, data preprocessing, ML model evaluation, Scikit-learn, MLflow, Vertex AI, Kubeflow, feature engineering

MySQL, PostgreSQL, MongoDB, FastAPI, Kubernetes, Python, LangChain, LangGraph, LLM fine-tuning, RAG pipelines

.NET, Angular, Apis, AI integration

FastAPI, Kubernetes, Python, Docker, PostgreSQL, agent memory systems, context management strategies, platform-level engineering standards, Ragas, prompt lifecycle management, LLM engineering, Azure OpenAI, RLHF, RAG pipeline architecture, LLM evaluation and observability practices, LangChain, pgvector, financial close Record-to-Report accounting, model fine-tuning, LangGraph

Pytorch, Python, inference cost performance and optimisation techniques, evaluation and benchmarking of ML systems, Large Language Models, Hugging Face, Experimental Design

Ml, MLops, Python, Computer Vision, Aerospace, Ai