Sam Hosseini
408-***-**** • *********@*****.*** • San Jose, CA
Summary
Skilled in networking and high performance computing, with impact in roles at Cisco, Juniper, and Google, I specialize in optimizing high-performance computing environments for various workloads (Cloud native Microservices and AI workloads). My expertise lies at the critical intersection of data center networking, distributed systems, and Cloud infrastructure—where milliseconds matter and efficiency directly impacts both performance and cost.
My recent experience in Kubernetes, containerization, distributed data processing (Apache Spark/Flink), and DevOps, combined with my AI/ML background, makes me a strong fit for DevOps and MLOps roles.
Experience
Google Sunnyvale, CA
Technical Lead/Manager Core ML Devops July 2019 - Dec 2024
● Led improvements to the runtime software stack for a high-traffic platform, enhancing productivity for ML researchers and internal teams. Built automation frameworks and tooling for faster time to market for model development and deployment, reducing time-to-resource allocation. Saved hundreds of software engineering hours and multi-million savings in accelerator resource usage.
● Introduced business processes to support continuous improvement, incorporating CI/CD pipelines to accelerate software delivery for engineering and site reliability teams. This effort resulted in consistency and efficiency (~30%) in new product introduction.
● Reduced number of incidents from one per month to one per quarter through process improvement. Saved thousands of SWE hours and improved customer satisfaction.
● Collaborated with research and engineering teams to align platform capabilities with evolving ML needs.
● Grew and led the network automation team for the backbone network (Capacity and repair). Managed to increase capacity to meet the network demand across the global B2 network. Worked with vendors; Cisco, Juniper and Arista. Managed the global team through pandemic with accelerated capacity delivery.
Synrgix Palo Alto, CA
Chief architect and head of AI 2014 – 2023
● Designed, implemented and delivered an AI backed B2B SaaS solution for automation of mid-market M&A workflow, a multi-billion dollar market.
● Managed and coordinated sales, marketing, and human resources operations.
● Interviewed numerous individuals from C-suite to gain insights into the market segment's requirements. Collaborating with a team comprising 20 executives and engineers, we took on the task of designing, constructing, and validating the platform. This position necessitates familiarity with diverse corporate functions, including finance, sales and marketing, HR and corporate development. Juniper Networks Sunnyvale, CA
Technical Lead Manager, Data Center Networking 2012 - 2019
● Worked in a software development role (IC) focusing on layer 3 routing technologies for a duration of one year.
● For the rest of my tenure, I managed a group of 15 engineers, focusing on the implementation of layer 2 data center interconnect technologies in the Juniper router series contributing to multi-million dollar revenue. Data center interaction is a multi-billion dollar industry.
● Worked in collaboration with product managers, the layer 2 data plane team (EVPN MPLS and EVPN VXLAN), and the release team to deliver timely and high quality software releases to the data center customer. Cisco Systems San Jose, CA
Software Design Engineer, Internet Backbone and Data Center Networking 2000 - 2011
● Worked as an individual contributor in the routing business unit, specializing in MPLS, IP, VPN technologies, and QoS.
● Spent nearly 4 years in each business unit, focusing on the legacy operating system (IOS) initially, and later transitioning to operating systems IOX and NXOS.
Education
MBA. Data Analytics - Louisiana University - 50% complete, on hold. Ph.D. Computer Science - Concordia University
● Thesis: High performance computing, parallel algorithms for numerical computations, virtual topologies M.Sc. Computer Science - University of California, Santa Barbara
● Emphasis: Programming languages and compiler design B.Sc. Computer Engineering - Portland State University Skills
● Engineering Leadership: Managing, growing and mentoring software engineering teams, fostering a culture of continuous improvement.
● DevOps & Automation: CI/CD pipelines, infrastructure as code (IaC), monitoring, and deployment automation.
● Business Process Automation: Streamlining workflows for consistency, efficiency, and scalability.
● High-Traffic Platforms: Ensuring reliability, scalability, and performance for public and internal-facing systems.
● ML Infrastructure & Developer Productivity: Optimizing runtime software stacks, resource utilization, and tooling for machine learning (ML) researchers and engineers.
● Site Reliability & Operations: Driving operational excellence, system observability, and proactive issue resolution.
● Programming languages: C, C++, Python, Go
● Collaboration & Stakeholder Management: Partnering with engineering, research, and business teams to align technical solutions with company objectives.
● Familiar with Cloud platforms, Kubernetes, Docker and related systems