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Quantitative researcher analyzing Cloud Security product usage and customer behavior to drive data-informed decisions and feature improvements using Python, SQL, and statistical modeling.
Builds and deploys a distributed AI stack that offloads inference and workloads across a private PC cluster, integrating agentic frameworks with edge devices and enforcing security policies.
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans…
Lead the design and evolution of Google’s high-performance networking stack for AI/ML workloads, integrating RDMA, storage, and kernel drivers to optimize hyperscale infrastructure.
Build and maintain scalable data pipelines for machine learning using Python, PySpark, SQL, and cloud platforms, collaborating with cross-functional teams to deliver AI solutions.
Build and optimize distributed AI serving infrastructure for Google Distributed Cloud, focusing on LLM inference, model life-cycle management, and load balancing across hybrid environments.
Design and build next-gen distributed caching and database architectures for Google Ads, optimizing global-scale storage and replication while integrating LLM-based resource governance.
Designs and maintains scalable data pipelines, edge apps, and cloud infrastructure using Spark, Kafka, and cloud services to enable real-time analytics and ML at Vodafone.
Manage a team of software engineers building Google Cloud Storage, guiding technical strategy, reviewing code, and aligning team goals with Google’s infrastructure needs.
Builds and maintains AI-infused front-end tools for developers to design, test, and deploy enterprise-grade agents using Google’s agentic platform.
Build and deploy generative-AI models (RAG, zero/few-shot learning) for capital-markets use cases like summarization and conversational AI, integrating them into existing tools for research, banking, sales, and trading.
Build and maintain scalable telemetry systems on GCP using Go/C++ and open-source observability tools like OpenTelemetry and Prometheus to collect and analyze data at massive scale.
Build and scale high-throughput, low-latency backend services and data pipelines in Typescript/Node.js and AWS for a SaaS Sales Performance Management platform.
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP for travel retailing, including RAG, agent workflows, and LLMOps pipelines.
Lead the design of secure, scalable satellite ground systems and mission operations architectures for the U.S. Space Force, aligning technical solutions with DoD requirements and Zero Trust principles.
Backend intern at Appier builds and optimizes scalable services for AdTech/MarTech products using Python, Go, or Java, with a hybrid schedule in Taipei.
Build and maintain petabyte-scale data pipelines in Azure Databricks and Spark to power analytics and player insights for Rockstar Games' titles.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Design and deploy AI solutions for enterprise customers, using Python, cloud AI platforms, and agentic frameworks to solve business challenges end-to-end.
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