Sep 2023 – Present · 2 yrs 8 mos

• Managing operations and performing financial analysis, including handling budgets, portfolio alignment, capital assets, hiring processes, compliance, OKR management, and risk oversight driving smooth execution.
• Managing investment and spending across the Edge portfolio to ensure efficiency and strategic alignment.
• Implemented and executed Edge portfolio-based operational efficiency processes, which led to $8M in savings.

May 2022 – Sep 2023 · 1 yr 4 mos

• Developed system-level, scalable benchmarking capabilities and infrastructure to deliver performance marketing data for Intel's next-gen platforms.

Jan 2021 – May 2022 · 1 yr 4 mos

• As Program Manager, I led engineering execution and pathfinding initiatives, developing benchmarking methodologies, implementing macro benchmarks on Intel platforms, and publishing performance marketing data to support next-generation platforms.
• Key Responsibilities:
• Define and manage program strategy, planning, roadmaps, and engineering commitments.
• Lead a multi-geo, matrixed team to achieve program milestones on schedule.
• Oversee hardware planning, allocation, and time-share management for remote user environments.
• Partner with Business Units and stakeholders to translate technical insights into marketing narratives for Intel’s next-generation platforms.

Jan 2020 – Jan 2021 · 1 yr

• Leading a multi-geo engineering team, I developed and implemented innovative benchmarking approaches for Intel’s next-generation platforms, grounded in real-world customer usage scenarios.
• Key Contributions:
• Designed mixed-criticality, configurable AI/ML sample application containers to simulate diverse customer workloads.
• Deployed applications in virtualized environments and benchmarked multiple Intel platforms, including Whiskey Lake (8th Gen Core™ i7), Coffee Lake (9th Gen Core™ i7), Elkhart Lake (Atom® X Series), and Tiger Lake (11th Gen Core™ i7).
• Managed pre-production hardware inventory for distributed software engineering teams.
• Published generation-to-generation performance comparison results, enabling data-driven platform positioning.

Apr 2015 – Dec 2019 · 4 yrs 8 mos

• As a Data Scientist, I worked hands-on to expand the capabilities of Intel's Analytics Products and address new market segments. My role spanned AI/ML solution design, prototyping, customer pilots, and productization.
• ANOMALY DETECTION ON EDGE PLATFORMS (ADEPT)
• Designed, implemented, and productized Intel IoTG’s AI solution for industrial time-series edge analytics.
• Conducted research, prototyping, and customer demos of anomaly detection algorithms.
• Packaged and deployed solutions at multiple overseas customer sites, supporting a 2Q pilot program with training and onsite visits.
• Released the developed IP as a formal Intel software product offering, including customer support and PAE training
• ASSOCIATIVE MEMORY REASONING SYSTEM (SAFFRON COGNITIVE TECHNOLOGY)
• Built end-to-end analytic solutions using Associative Memory and ML across healthcare, financial services, industrial, and IoT domains.
• Developed an unsupervised anomaly detection algorithm to predict money laundering activity for a leading bank; executed PoC and documented workflow.
• Prototyped a predictive maintenance system integrating vibration sensor data with unstructured text.
• Designed data pipelines and similarity algorithms for issue and defect resolution datasets across multiple clients.
• VIBRATION ANALYTICS
• Refined sensitivity parameters and decision metrics for analytics algorithms.
• Validated analytics through real-world data combined with DSP algorithms, improving reliability of vibration-based insights.