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Adnan F.

Principal Ai Engineer @Google

Chicago, IL, US
EMAILS
a•••••@google.com
MOBILE NUMBERS
+18•••••••73

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WORK HISTORY

Feb 2021 — Present

Principal Ai Engineer @Google

Chicago, IL, US

Principal Software Engineer specializing in designing, developing, and deploying scalable Deep Learning and Generative AI solutions for complex, real-world business challenges. I am involved in LLM lifecycle management, multi-agent development and orchestration, high-performance distributed hosting architectures, advanced model tuning and inference optimizations, evaluation/quality frameworks, and secure, petabyte-scale data integrations. My contributions include architecting solutions that drive significant technical and business impact, leveraging modern software engineering principles and cutting-edge AI research.

EDUCATION

1996 — 2000

University of Saskatchewan, Canada

Bachelors of Computer Sciences, Programming languages, Machine Theory & Algorithms, System Fundamentals and Performance

2004 — 2008

University of Saskatchewan, Canada

Masters of Computer Sciences, Software Engineering, Development, Distributed Computing

SKILLS

MicroservicesAntContinuous IntegrationServletsCloud, Weblogic, Oracle Application Server, Iis, Hibernate, SpringPl/SqlVirtualization, Storage Area Networks, and Data Acceleration AppliancesHtmlGrc, Cobit, Itil, Sox, TogafCloud SecurityAbap (Badi, Bapi, Web Dynpro, Alv Reports, User Exits) and SoaAmazon Web Services (Aws)Sql Server.net, C#, Asp.net, .net Compact FrameworkJ2eeWindowsEjbPhp, Pythos/Django, Ruby/Rails, Rest, Odata, JsonEclipseWindows, Unix, Linux, SolarisBusiness ObjectsData ScienceContinuous DeliveryAjaxSpringServerlessJspPhpC#.netIisIdentity & Access Management (Iam)Java, J2ee, Jdbc, Ejb, Jms, Jsp, Servlets, JaasXcelsius, Web Intelligence, Crystal Reports, Explorer, UniverseJunitXmlRestJavascript, Ajax, (D)Html, Web 2.0NosqlPython

ABOUT ADNAN F.

A software engineer and technologist with 25+ years of experience in architecting, developing, and deploying enterprise-grade cloud-native and AI-driven solutions across Google Cloud, AWS, and Azure. These days, I work with high-performance Deep Learning and Generative AI solutions, leading LLM lifecycle management that includes infra, orchestration, hosting, tuning, inference, evaluation, and security. My hands on work spans petabyte-scale data architectures, advanced Kubernetes-based ML systems (Vertex AI, GKE, EKS, SageMaker, Bedrock), and accelerators (GPU/TPU, NVIDIA DGX Cloud Lepton). This background, including my time as a customer-facing technical lead, provides a pragmatic perspective on real-world problem-solving and the full solution lifecycle.

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