Performance and Cost Engineering: Optimize Spark and SQL jobs, file layout, partitioning, cluster configuration and workload scheduling to improve reliability, runtime and AWS/Databricks cost efficiency.
2)Review and Interpret electrical designs, drawings, technical submissions, method statements and material submissions to ensure compliance with project requirements and applicable standards.
Design production AI systems where LLMs, RAG and agents are part of the live product, not just internal tools. That includes agent planning, memory, permissions, observability, fallbacks and human-in-the-loop controls.
Build evaluation harnesses and benchmarks that measure how well agents find real vulnerabilities, how many false positives they raise, and what each run costs.
Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Strengthen SSP verification by translating broad or process-oriented clauses into specific, testable control statements and evidence expectations that product teams can understand and apply
Create a separate knowledge base for recurring Vulnerability Disclosure Programme (VDP) issues. Analyse historical findings, identify repeated weaknesses and root causes, map them to coding patterns and preventive controls, and track measurable reduction in recurrence as a key performance indicator
Extend the shared capability APIs (speech, vision, document extraction) and keep them fast and cheap enough that agencies reach for them instead of building their own
Partner closely with IC design teams to ensure to deliver comprehensive technical specifications, rigorous benchmark reports, and high-value patent proposals.