Machine Learning, Distributed Systems, Saas, tool integration, retrieval-based architectures, orchestration technologies, modern LLMs, prompt optimisation, Ai, AI agents, architectural standards

Cloud Architecture, Devops, Git, Pandas, MLops, Gcp, Docker, FastAPI, Azure, Python, vector search, reranking models, unstructured data embedding, LLM applications, Langfuse, RAG, document parsing

Kafka, Spring Boot, Grafana, JIRA, Datadog, Nosql, Tensorflow, Pytorch, Docker, Swagger, Python, AWS, Java, Google Cloud, Sql, New Relic, Rabbitmq, Django, Jenkins, FastAPI, Postman, Azure, GitHub Actions, GitLab CI, RESTful API design

Web Application Development, Data Science, Database Design, Agentic AI frameworks, AI techniques, Agile delivery methodologies, containerisation and orchestration, cloud computing platforms, automated build test and deployment pipelines

Cloud deployment, Scalability, Gcp, System Design, Python, AWS, modern backend frameworks, LLMs, DevOps practices, Reliability, agent-based systems, multi-agent workflows, model optimization

Advanced Analytics, Data Management, Performance Testing, Data Architecture, automation, AI machine learning, Agile delivery, agentic AI applications

Docker, FastAPI, Kubernetes, Python, CI CD pipelines, Kubeflow, MLflow

Python, LangChain, LangGraph, Cloud Platforms, Embeddings, LLMs, Azure AI, AI Frameworks, Vector Search, Retrieval-Augmented Generation, Copilot Studio

pruning , Machine Learning, Cpu, Gpu, Pytorch, GGML, TensorRT, llama.cpp, acceleration, NPU, ONNX Runtime, real-time systems, ML frameworks, quantization, model optimization

Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, Gen AI, LangGraph, LLMOps practices, DeepSeek, Qwen, Google Vertex AI, vector DBs