Software Architecture, AI ML, Machine Learning Technologies, Engineering Processes

react.js , .Net Core, Java, Microservices, Lambda, Typescript, Azure Functions, Docker, Terraform, Azure, Kubernetes, Python, AWS, Domain-Driven Design, Claude Code, GitLab CI, GitHub Actions, Next.js, Serverless

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

Azure Databricks, Api Development, Tensorflow, Git, Pytorch, MLops, Docker, Flask, FastAPI, Azure Machine Learning, Python, AI ML engineering, Scikit-learn, MLflow, CI CD, Unity Catalog, Delta Lake, Databricks Workflows

Terraform, Kubernetes, Python, AWS, CrewAI, LangGraph, OAuth 2.0, Go, OIDC, Semantic Kernel

medusa , Nvme, Windows, Linux, Pcie, Test Plans, Python, Oakgate, SanBlaze, Auto code generators, AI agents, PCIe-CV test suites, IO workloads, Debugging NVMe SAS Protocol, Media Management

Oauth, Saml, Soap, Json, Ldap, Sql, Git, Javascript, Rest Apis, Python, SCIM, Integration Protocols

C, Debugging, Routing, Dns, Kernel Programming, Python, Bonding, DPDK, Traffic Steering, SD-WAN

bandgap references , Ansys, PERL, Python, buck-boost, analog simulation, Cadence, ADCs, DACs, transistor-level design, charge pumps, DC-DC converters, Amplifiers, EDA Tools, CMOS technology, power management IP, virtuoso, Synopsys, signal chain IP, LDOs, sensor interfaces

Python, Tcl, Product test engineering practices, Manufacturing test flows, Fault modeling and coverage analysis, Scan insertion and optimization, DFT methodologies, ATE environments, ATPG development, Silicon bring-up, SoC DFT architecture