Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

Operating Systems, AI ML, Tensorflow, Pytorch, Distributed Systems, Computer Architecture, networking fundamentals, simulation frameworks, AI accelerators, interconnect and memory technologies, collective communication algorithms, distributed training frameworks, memory disaggregation, visualization tools, profiling telemetry observability and debugging tools, large-scale AI training pipelines, topology-aware scheduling, programming skills in Python