Tcp, PostgreSQL, Containers, Json, Http, Concurrency, Ruby, Tls, Kubernetes, Profiling, Go, Observability

Prometheus, Grafana, Kubernetes, Python, RDMA, GitOps, Go, NVSwitch, Volcano, NVIDIA NVL72 GB300, OpenTelemetry, KAI, NVLink, GPU scheduling, YuniKorn, Kueue, Slurm

Databases, Apis, Distributed Systems, System Design, AI reliability evaluations, production risks, message queues, LLM products, product analytics, Infrastructure, Caching, frontend systems, agentic AI systems, prompting, RAG, guardrails

data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures

MCP (Model Context Protocol), Phoenix, Datadog, Python, LLM-based systems, OpenTelemetry, Langfuse, Arize, Structured information extraction, Search, Vector databases, RAG, Knowledge graphs, Keyword search, Reranking, Hybrid retrieval, Agent-tool ecosystem

C++, Tensorflow, Pytorch, Api, Keras, Firmware, System Security, Production Technical Services, concurrent engineering, AI Evaluation, Access Control System, Fine Tuning, low latency, Responsible AI, Model Quantisation, Prompt Injection

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

Tensorflow, Deep Learning, Databases, Pytorch, Docker, Python, AWS, Apis, Backend Development, MLops, Gcp, Machine Learning, Azure, Cloud-based application development, Application development using APIs and microservices, Hugging Face, Data processing and analytics, Responsible AI practices, LangGraph, Data pipelines, LangChain, Generative AI, Vector databases, AI security governance