* Travel: Built AI Travel Agent https://www.testingcatalog.com/perplexity-ai-developing-travel-planning-tools-with-hotel-pages-and-ai-travel-agent/ * Shopping: Built world's first AI Shopping Agent https://www.perplexity.ai/shopping https://techcrunch.com/2024/11/18/perplexity-introduces-a-shopping-feature-for-pro-users/ * Sports: NBA https://www.perplexity.ai/sports/nba Skills: Artificial Intelligence (AI) · Distributed Systems · Large Language Models (LLM) · Search

Autonomous Mobility and Delivery: Experience Tech Lead -Rides, Merchant, Eater Apps As a Senior Software Engineer at Uber, I lead the technology development for Autonomous Mobility and Delivery, creating innovative solutions for rides, merchant, and eater apps. I have a bachelor's degree in applied mathematics and economics from Harvard University. I am proficient in Go and Java. I have over three years of experience at Uber, where I started as a software engineer for the Ads team, building the nation's largest mobile DOOH advertising network. I am passionate about applying my skills and knowledge to solve real-world problems and deliver value to customers and stakeholders. I value collaboration, innovation, and diversity, and I enjoy working with talented and diverse teams to create impactful products and services. https://www.uber.com/us/en/autonomous/ Past: [Ads]: The nation’s largest mobile DOOH advertising network Skills: Go (Programming Language) · Java · Software Infrastructure · Distributed Systems · Software Design

• Developed machine learning based auto-tuning solutions to deliver additional system performance and efficiency on cloud workloads to end customers and cloud service providers • Employed genetic algorithms and Bayesian optimization on prefetcher knobs and 3D XPoint Optane Memory schedulers • Explored large design space of System on Chip (SoC) design parameters to find Pareto optimal/efficient designs • Refactored and supported framework to enable standardized, streamlined, and scalable collect-process-analyze-share (CPAS) flow of workload data collection, delivering faster time to insights for power and performance (PnP) analyses • Collaborated on Intel’s hardware and software tuning-as-a-service (TAAS) initiative • Achieved 95% reduction in tuning time for memory latency checker (MLC) and SAP HANA TPC-H benchmark workloads • Created proxy virtual machine workloads to simulate far memory thrashing for Windows OS page coloring schema

Examined Sweden’s responses to Syrian Refugee Crisis on housing market, education, and economy via data analysis and interviews.