Machine Learning, Software Development, Testing, Software Design, Programming Languages, Deep Learning, Debugging, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, launching software products, Optimization, Ai Development

Docker, Asynchronous programming, Kubernetes, Python, gRPC APIs

.NET, Rust, PostgreSQL, Kafka, Node.js, Redis, React, Typescript, Docker, Kubernetes, Python, Generative AI, LLMs, Go, A2A, Agentic AI, MCP

Java, Machine Learning, Kafka, Tensorflow, Hive, Pytorch, Spark, Kubernetes, Python, Airflow, Ray, Kubeflow

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Git, Typescript, Docker, Python, Kubernetes, Distributed Systems, CrewAI, LangChain, AutoGen, LangGraph, Prompt Engineering, AI orchestration frameworks, LLM testing methodologies, Vector databases, AI evaluation frameworks, Inference optimisation, Model routing, Microservices architecture, CI/CD pipelines, Embedding models, Observability tools, Multi-agent systems, Fine-tuning

Java, Python, AWS, embeddings, LLMs, multimodal AI pipelines, Go, RAG-based systems, vector databases, AI ML systems, GenAI systems