Sruthi Yellamraju

QNN HTP:

• Driving the architecture and execution of Qualcomm's proprietary AI inferencing software stack for Qualcomm's NPUs.
• Leading a team of feature leads and 25 engineers in developing sophisticated, multi-core, multi-device AI/ML inferencing software.
• Successfully coordinating a complex matrix of stakeholders, including business unit leaders, program managers, and engineering teams, to deliver multiple concurrent projects from concept to completion, on schedule and within specifications.
• Awarded exclusive CEO bonus for exceptional performance on complex projects.
• Skills: C++, Linux, AI/ML, NPU, team leadership, and project management.

Gradient Graph Analytics (G2) (formerly Reservoir Labs):

• Led the development and customer engagement of G2, a network optimization software product.
• Spearheaded the development and commercialization of G2, transforming a research prototype into an MVP, including REST API, CLI, and web interfaces within 2 years.
• Led the integration of the G2 framework into multiple high-speed WAN environments, optimizing network performance for diverse enterprise partners.
• Drove technical partnerships and provided customer demonstrations for successful deployment.
• Built and mentored a cross-functional team of engineers, interns, and research students, while contributing to academic research through multiple publications in premier networking conferences.
• Architected a scalable, containerized solution leveraging modern DevSecOps practices and cloud infrastructure.
• Skills: Kubernetes, Docker, Python, C++, TCP/IP, congestion control algorithms, AWS, DevSecOps, Streamlit, Angular, REST, Redis.

• Architected and implemented a unified DPDK-based packet processing framework in Fidelis Sensors, thus transforming 1G on-premise-only sensors to sensors capable of high-speed (10G) deployments across on-premise, virtual, and cloud-based environments.
• Achieved significant R&D cost reduction while delivering 10G inline packet inspection capabilities.
• Successfully led a cloud transformation initiative, deploying network sensors as an IaaS solution across AWS and Azure platforms.
• Coordinated cross-functional teams including DevOps, Marketing and Product for business expansion.
• Directed cross-functional engineering teams in the development and deployment of high-speed IPS capabilities, coordinating efforts across sensor development, web services, databases, QA, and customer-facing teams.
• Achieved a 300% reduction in policy delivery time, and decreased customer-reported false positives through process improvements in the Fidelis threat intelligence platform framework.
• Earned recognition through awards for exceptional performance and creative contributions.
• Skills: C, Linux, DPDK, AWS, Azure, Suricata, Snort, Python.

• Skills: C, Linux kernel/user space programming, TCP/IP, IPv6, LTE, 3G/4G, TI DSP/BIOS, Ethernet drivers, software design/development, embedded systems, debugging, and TCP/IP stack SME, network /security acceleration using DSP.

• Skills: C++, Linux, DOCSIS 3.0, Offshore team setup.