Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Typescript, Javascript, Python, Testing Frameworks, AWS cloud services, AI agents, Prompt engineering, AI system design, Vector databases, and engineering management tools, Agile environments, Collaboration, Responsible AI practices, Modern planning, CI/CD pipelines, AI observability, Cloud-native applications

Devops, Jenkins, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools

AWS, Node.js, FastAPI, Python, Azure, Jira, Gcp, Multi-cloud AI platform architecture, AI Governance, Generative AI

.NET, Java, Golang, Docker, MySQL, PostgreSQL, Integration Testing, Node.js, Kubernetes, AWS

UVM (Universal Verification Methodology), SVA (SystemVerilog Assertions), C, C++, Shell, Pcie, Perl, Arm, Python, Tcl, Systemc, MCU, Hardware Emulation Platforms, RISC-V, UCIe, systemverilog, Verification Methodology, AMBA, Axi, Formal Model Equivalence Checking Tools, formal verification, VC Formal

bedrock , S3, Machine Learning, Cloud Infrastructure, Tensorflow, API Design, Data Science, Lambda, Pandas, Pytorch, ECS, Python, AWS, Generative AI, Step Functions, scikit-learn, MLflow, EKS, SageMaker

python, Microstation, pavement alignment, highway and development infrastructure design, digital workflows automation, Bentley ORD, drainage utilities, Civil cell

Python Programming, Software configuration management, Low-level device drivers, Static analysis tools