Artificial Intelligence (AI) for engineering workflow and modeling, Machine Learning, Deep Learning, FEA tools, ANSYS, numerical methods, virtual structure modeling, Scientific Computing, computational geometry, Rendering, ABAQUS, DOE analysis, thermo-mechanical modeling, Victory Process, SPX, SEM3D

Matplotlib, Tensorflow, Nltk, Pytorch, Seaborn, Keras, Azure, Python, Algorithms, Agile, Data Visualization, data structures, Scrum, GANs, Plotly, Hugging Face, GPT, VAE, Generative AI models, SpaCy, cloud-based platforms

Kernel Internals, C, Spi, Linux Kernel Programming, Jtag, Linux Shell Scripting, I2c, Cryptography, Python, Hsm, Uart, Device Drivers, Can, Git, Yocto, Ethernet, Linux Bsp, Chain of Trust, Embedded Security, Buildroot, Tpm, BitBake, U-Boot, Automated build and testing tools, Secure Boot

Python Automation, Tcl, MCMM analysis, CTS, ICC2, large-scale SoC designs, clock architecture, multi-die clock integration, Innovus, Timing Constraints, full-chip clock planning, multi-source clocking

Embedded C, Python, Device Drivers, Microcontrollers, Memory-constrained systems, Timing-sensitive code, Peripheral interfaces

New Relic, Ansible, AWS CloudWatch, Splunk, Puppet, Datadog, Python, AWS, Chef, AWS X-Ray

graph databases , Sparql, Git, Rdf, Neo4j, Python, Graph RAG, AWS Bedrock, owl, SHACL, rdfs, Cypher, semantic technologies, RAG, Amazon Neptune, Knowledge Graphs, vector indexing, data-quality controls, embeddings, relationship extraction, chunking, document parsing, hybrid retrieval, entity extraction, ontologies, metadata extraction, observability

Shell, C, Perl, Python, Tcl, Uvm, systemverilog