Divya Shankar profile photo 1 on Tal

Divya Shankar

Product @ Intuit

Bengaluru

15+ years of work experience

Intuit
Feb 20269 mosPresent

Intuit
Sep 20241 yr 5 mosJan 2026

Intuit
Nov 202310 mosAug 2024

Bengaluru, Karnataka, India

Intel Corporation
Feb 20212 yrs 10 mosNov 2023

Bangalore Urban, Karnataka, India

Focused on building Intel's cloud-native developer platform, harnessing Intel's spectrum of edge compute for various industry verticals. Have successfully taken it from product definition to a publicly available release. Advocate and evangelizer of container-first practices. Speaker at various external events organized by NASSOM and Intel.
Intel Corporation
May 202010 mosFeb 2021

Focused on designing and building a framework for optimizing AI inferencing on Intel's compute constrained edge devices through different techniques of model partitioning. Worked with customers to show 2x improvement in model inferencing times through dynamic layer based and compute based partitioning. This work is pending patent approval at the USPTO.
Intel Corporation
Jan 20173 yrs 4 mosApr 2020

Designed and developed a fully microservices and container based vehicle blade orchestration for automotive audio in instrument cluster and in-vehicle infotainment. Engaged with Tesla and Volvo to deliver an MVP solution. This was showcased in CES 2019 as automotive industry's first kubernetes based orchestration for fault-tolerance and fail-over mechanism for critical functionalities.
Samsung
Jul 20075 yrs 9 mosMar 2013

Worked in Samsung's Advanced Technology Division for 6 years on new technologies in both Android and Windows in the field of IMS, Video pipeline parallelization techniques, distributed processing through weblets, Chrome webkit performance enahancements.

Divya’s AI Stack

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Education

RV College of Engineering

B.E, Communication

RV College of Engineering

20034 yrs2007

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Headline

Product @ Intuit

About

Passionate about cloud-native and AI technologies. An engineer at heart with a product mindset. In the world of limitless possibilities and potential, the focus on why we are doing what we are doing, is the most important for me. Have a track record in driving products from concept to public releases at scale. Motivate and drive high performing teams and believe that execution is a key strategy. Have a sound proven experience of working with user experience teams for usability and usefulness. Keep ears to the ground and drive incremental product refinement through customer conversations. Like telling stories, especially product stories. Core Skill Sets: Product Management, Evangelism and speakership, Innovation & New Products, Design Thinking, Lean Methodology, User Experience Design, User Research

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

langfuse

Work experience

Senior Staff Product Manager at Intuit, Feb 2026 - Present · 9 mos

Staff Product Manager at Intuit, Sep 2024 - Jan 2026 · 1 yr 5 mos

Senior Product Manager at Intuit, Nov 2023 - Aug 2024 · 10 mos, Bengaluru, Karnataka, India

Product Manager, Edge cloud-native platform at Intel Corporation, Feb 2021 - Nov 2023 · 2 yrs 10 mos, Bangalore Urban, Karnataka, India, Focused on building Intel's cloud-native developer platform, harnessing Intel's spectrum of edge compute for various industry verticals. Have successfully taken it from product definition to a publicly available release. Advocate and evangelizer of container-first practices. Speaker at various external events organized by NASSOM and Intel.

Deep learning frameworks engineer at Intel Corporation, May 2020 - Feb 2021 · 10 mos, Focused on designing and building a framework for optimizing AI inferencing on Intel's compute constrained edge devices through different techniques of model partitioning. Worked with customers to show 2x improvement in model inferencing times through dynamic layer based and compute based partitioning. This work is pending patent approval at the USPTO.

Design lead, Container orchestration solutions at Intel Corporation, Jan 2017 - Apr 2020 · 3 yrs 4 mos, Designed and developed a fully microservices and container based vehicle blade orchestration for automotive audio in instrument cluster and in-vehicle infotainment. Engaged with Tesla and Volvo to deliver an MVP solution. This was showcased in CES 2019 as automotive industry's first kubernetes based orchestration for fault-tolerance and fail-over mechanism for critical functionalities.

Lead Engineer at Samsung, Jul 2007 - Mar 2013 · 5 yrs 9 mos, Worked in Samsung's Advanced Technology Division for 6 years on new technologies in both Android and Windows in the field of IMS, Video pipeline parallelization techniques, distributed processing through weblets, Chrome webkit performance enahancements.

Education

B.E, Communication, RV College of Engineering