Sree Reddy

CTO

Hyderabad, Telangana, India32 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Delivered industry-leading AI solutions for edge computing.
Pioneered innovative compiler platforms for hardware design.
Successfully built and managed world-class engineering teams.

Stackforce AI infers this person is a leader in AI and hardware engineering with a focus on innovative technology solutions.

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Skills

Core Skills

AiEmbedded SystemsHardware DesignSoftware Engineering

Other Skills

AI Inference ProcessorsCompilerScalable DriverModel ZooAlgorithmic IP PlatformFormal Design TechniquesZero Time Design FlowMicroprocessorsProcessorsFunctional VerificationSimulationsSoCASICSemiconductorsVerilog

About

I am a seasoned technology leader who has built and managed world class teams and transformed new and innovative technology into products. I have a strong background in software and hardware engineering, processors, memory subsystems, networking, and switch fabrics. I am passionate about efficiently accelerating AI workloads, AI solutions for the edge, designs that are extensible & correct by construction, domain-specific languages, compilers, composable & generatable designs, and programmable hardware. I have executed successfully and delivered several products – silicon, systems, software, SDKs. I have been immensely successful at delivering bug free designs and silicon – first time and every time.

Experience

32 yrs 9 mos

Total Experience

4 yrs 4 mos

Average Tenure

2 yrs

Current Experience

Stealth mode startup

Head, India Design Center

May 2024 – Present · 2 yrs · Hyderabad, Telangana, India

Kinara, inc.

VP Engineering

Jun 2018 – Oct 2023 · 5 yrs 4 mos · Los Altos, California, United States

Built company’s technology, product and engineering expertise from the ground up and delivered best-in-class stack for Edge AI – a stack consisting of two generations of AI Inference Processors that delivered industry leading power and performance metrics, a compiler that maps neural networks with minimal effort, a scalable and fault-tolerant driver, a model zoo with composable flows, and an embedded systems friendly solutions framework.

AI Inference ProcessorsCompilerScalable DriverModel ZooEmbedded SystemsAI

Cisco

Director Engineering

Nov 2010 – Jan 2018 · 7 yrs 2 mos

Established Memoir’s product, and engineering capabilities from inception. My team conceived, implemented and delivered the Renaissance Algorithmic IP Platform – a unique and innovative compiler platform that abstracts micro-architecture building blocks and generates optimal, formally proven designs. Pioneered the use of formal design techniques by developing Zero Time design flow. Built Memoir’s India Design Center and saw it through successful acquisition and integration into Cisco Systems. [Joined Cisco through acquisition of Memoir Systems].

Algorithmic IP PlatformFormal Design TechniquesZero Time Design FlowHardware DesignSoftware Engineering