Tensorflow, MLops, Pytorch, XGBoost, AWS, Python, Kubernetes, Docker, Apis, Microsoft Azure, Google Cloud Platform, Weaviate, LlamaIndex, Prompt Engineering, Semantic Kernel, AI Agents, LangChain, Pinecone, ChromaDB, Scikit-learn, vector databases, Generative AI technologies, Azure AI Search, Conversational AI solutions, microservices architecture, FAISS

MySQL, PostgreSQL, MongoDB, FastAPI, Kubernetes, Python, LangChain, LangGraph, LLM fine-tuning, RAG pipelines

System Design, Application Development, Testing, Python, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems

FastAPI, Kubernetes, Python, Docker, PostgreSQL, agent memory systems, context management strategies, platform-level engineering standards, Ragas, prompt lifecycle management, LLM engineering, Azure OpenAI, RLHF, RAG pipeline architecture, LLM evaluation and observability practices, LangChain, pgvector, financial close Record-to-Report accounting, model fine-tuning, LangGraph

Pytorch, Python, Hugging Face, Experimental Design, evaluation and benchmarking of ML systems, inference cost performance and optimisation techniques, Large Language Models

Static timing analysis, Linux, Lsf, Bitbucket, Git, Unix, Splunk, AI ML, Python, Jenkins, SDC, convolutional Networks, make, EDA Tools, GenAI, SW development, CI CD process, Implementation, design layout constraints, DesignSync, debug tools, Power-aware flows, UPF, Clocks, Design Verification, cdc, reinforcement learning, Graph Neural Networks, Dft, RDC