Tensorflow, Pytorch, Python, AI agent-based coding tools, Deep Neural Networks

model selection , Typescript, Python, AI quality systems, Human labeling, Model graders, Experiment design, Statistics, Fine-tuning

Exploratory Data Analysis (EDA), Deep learning architectures (CNNs, probability , Transformers), Tensorflow, Nosql, Pytorch, XGBoost, Python, Sql, Azure ML, Etl, Data preprocessing, Distributed training and scaling ML on large datasets, MLflow, Feature engineering, MLOps workflows, Data annotation tools, Kubeflow, Vertex AI, ML model evaluation, Scikit-learn, Statistics, RNNs, linear algebra

Etl, Sql, Databricks, ELT, Python, Data Modelling, Spark, cloud-native data services, CI CD, warehousing concepts, containerisation, AI coding tools, GitHub Copilot, Claude Code

Databases, API design, Distributed Systems, Python, LangChain, CrewAI, LLMs, AutoGen, backend architecture, LlamaIndex

RAG, Python programming language, AWS AI ML services ecosystem, FAST APIs, Machine Learning architectures

Rust, AWS, Cloudformation, FastAPI, Kubernetes, Python, Azure, Gcp, Terraform, Jenkins, Git, Spark, Go, vLLM, GitHub Actions, MLflow, Hugging Face Transformers, LangChain, TorchServe, TF Serving, CI CD pipelines