Chandrasekar Srinivasan

CTO

Bellevue, Washington, United States14 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

14+ years in software development and AI.
Led teams generating over $5 billion in revenue.
6 USPTO patents in diverse computing areas.

Stackforce AI infers this person is a Cloud Computing and Mobile Technology expert with a strong focus on AI integration.

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Skills

Core Skills

Cloud ComputingSoftware DevelopmentEmbedded SystemsImage Processing

Other Skills

AlgorithmsAndroidAssembly LanguageCC#C++Computer VisionData StructuresDebuggingDevice DriversDistributed SystemsEntrepreneurshipH.264JPEGJava

About

Strategic and grounded engineering leader with 14+ years of experience in software development, AI, and platform infrastructure — including 7+ years leading high-performing teams at Microsoft and Qualcomm. I bring a builder’s mindset to both 0→1 product incubation and 1→100 scale-out of mission-critical systems. My work spans platforms that generate multi-billion-dollar revenue, with an emphasis on clarity, resilience, and long-term impact. I’ve led the integration of AI into infrastructure, developer tools, and platform capabilities — always with a focus on usable intelligence, system performance, and reliability at scale. With 6 USPTO patents across diverse areas of computing, I enjoy solving foundational problems with scalable, elegant solutions. Known for leading with calm direction and deep ownership, I foster environments where teams operate with trust, precision, and purpose. I’m passionate about attracting and developing world-class talent, assembling diverse skill sets with minimal friction, and enabling success through strong systems thinking. I’ve built and led cross-functional, global teams that consistently deliver high-quality outcomes with intent. Looking to grow within focused, high-impact organizations that value clarity, depth, and long-term thinking — especially at the intersection of AI and platform engineering.

Experience

14 yrs 9 mos

Total Experience

7 yrs 4 mos

Average Tenure

10 yrs 10 mos

Current Experience

Microsoft

Principal Engineering Manager

Jul 2015 – Present · 10 yrs 10 mos

Currently, lead the Azure Resource Builder team.
Previously, I have held multiple leadership positions in Azure Compute, Networking and Data teams managing foundational regionally distributed control plane and data plane services for provisioning/processing Networking, Compute and Data resources generating revenue > $5 Billion.
Managed a team of Software engineers and managers to build and maintain infrastructure for Azure Usage Billing Service. Work with multiple Engineering and business teams on pricing models, billing pipelines and customer monetization. Built a service grounds up. Close collaboration with the Azure CTO office. Recovered over $100 M in the first year of release.
At Azure Networking team, I led and built Control plane Services/Features including Service Endpoint Policies and Virtual Network Tap for the Regional Network Service on the world's largest, most reliable Software Defined Network (SDN). Also, as a part of Azure (Compute) team, I improved Data Center Management operations on the Azure Cloud. My work led to increase in speed by 3x for detecting and triaging failure machines on the Azure Cloud.

Team LeadershipProject ManagementCloud ComputingSoftware DevelopmentAlgorithms

Qualcomm

2 roles

Senior Software Engineer

Promoted

Apr 2014 – Jun 2015 · 1 yr 2 mos

Among the top 10 finalists for Qualcomm's Venture Fund Competition in 2015. I was offered an opportunity to prototype and demonstrate my Idea to CEO Dr Paul Jacobs and his executive team. This innovation resulted in improved experience for 3D Image reconstruction in Mobile Cameras. During my tenure at Qualcomm, my work resulted in 4 Granted Patents at USPTO/Canada PTO.
Further implemented heterogenous computing optimizations on snapdragon chipsets.

AlgorithmsEmbedded SystemsC++Image ProcessingComputer Vision

Software Engineer

Jul 2011 – Apr 2014 · 2 yrs 9 mos

Part of the Camera Systems Team. Built heterogeneous/distributed computing solutions for Qualcomm's Snapdragon Processors. My work resulted to 30% faster imaging algorithms including but not limited to JPEG, Wavelets. Thus, reduced the time taken for clicking a photo on a mobile device using snapdragon processor. This was released in over 50 Million phones worldwide including Hauwei, Samsung Galaxy Series, Motorola, Blackberry and many more.

AlgorithmsEmbedded SystemsCImage ProcessingComputer Vision