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

Keras, Sql, Java, Numpy, Pandas, Pytorch, Python, Docker, Javascript, OpenAI API, scikit-learn, Langchain, RAG

Sql, Python, time-series forecasting, Generative AI tooling, R, tree-based models, classical ML modeling, observability monitoring tools

System Design, Application Development, Python, Testing, Databricks, Kubernetes, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems, CI/CD, Containerisation

Data Architecture, Ml, AWS, Python, Azure, Gcp, Apis, LLM integration, Ai, scalable backend systems, model evaluation, performance optimisation, prompt engineering

.NET, Github, Paas, Nodejs, ADO, Angular, Tensorflow, Nosql, React, Pytorch, Sonarqube, Python, AWS, Java, Sql, DevSecOps, AWS Bedrock, micro-services, SRE, LangFuse, MLflow, Azure OpenAI, LangSmith, FaaS, LangGraph, Vertex AI, LangChain, Lean, FinOps, infrastructure-as-code, unit testing frameworks, Xp

Rest Api, Sql, Spring Boot, Java, Microservices, React, AWS, MySQL, Cassandra, Python, Nosql, Azure, Gcp, PostgreSQL, MongoDB, Javascript, Figma, Claude, Lang smith, Multi-Agent Systems, Opik, Lang Graph, Traces