Shefali Jain

Software Engineer

Gurgaon, Haryana, India10 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing GenAI features for Adobe products.
Strong background in virtualization and cloud computing.
Proven track record in driver development for Snapdragon processors.

Stackforce AI infers this person is a skilled developer in SaaS and virtualization with expertise in cloud computing and mobile technology.

Contact

Skills

Core Skills

C++Data Structures

Other Skills

.NET.NET FrameworkAmazon Web Services (AWS)C (Programming Language)CSSCascading Style Sheets (CSS)Core JavaGitHubJIRAJavaJava Enterprise EditionLinuxMachine LearningMicrosoft OfficeMySQL

About

Senior Computer Scientist at Adobe. First started up with Accenture in 2013 as an Associate Software Engineer and got promoted to Software Engineer. After that, I joined IIT Roorkee (CS) in 2015 and completed my Masters with a specialization in Cloud Computing. Also, worked on Cloud in IBM Labs as an extreme blue intern in 2016. After that, I joined Qualcomm as an Engineer and was responsible for the design and development of device drivers, that optimally meet the requirements of the Snapdragon ARM-based processors. Post that I worked in Synopsys Noida in Virtual Prototyping domain. Also, worked as a part of Vmkernel core team s which is the operating system kernel for VMware's ESX Server product. Currently working in Adobe on GenAI features as a part Adobe Illustrator Team

Experience

Adobe

2 roles

Senior Computer Scientist (SDE5)

Jun 2024 – Present · 1 yr 9 mos · Noida, Uttar Pradesh, India

Computer Scientist - II (SDE-4)

Jul 2022 – Jun 2024 · 1 yr 11 mos · Noida, Uttar Pradesh, India

Working as a developer in Adobe illustrator. Creating some great experience related to GenAI in illustrator

Data StructuresC++

Vmware

Member Of Technical Staff - 3

Dec 2020 – Jul 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

Worked in Vmkernel Core Team. Responsible for the design, implementation, and architectural direction of the VMKernel, which is the operating system kernel for VMware's ESX Server product.

Data StructuresC++

Synopsys inc

Senior Research And Development Engineer

Jul 2019 – Dec 2020 · 1 yr 5 mos

Worked in Virtual Prototyping group in Synopsys. Started with TLM2.0 based system level modeling for architecture exploration use cases. Worked on RISCV architecture and instruction set modelling. Thorough understanding for Synopsys Virtual Platform exploration and software development tools like Platform Architect, Virtualizer etc. Also, worked on Core integration (CEVA core) and testing of cores.

Data StructuresC++

Qualcomm innovation center inc

Software Engineer

Jul 2017 – Jul 2019 · 2 yrs · Hyderabad, Telangana, India

Worked on Linux clocks driver development providing support for all Snapdragon chipsets and majorly for 450 , 632 670, 820, 835 & 845 mobile processors. This has involved working with multiple teams through design to chips bring-up, develop, test and support the clock domain - CPU, peripheral and multimedia clocks going to all major subsystems like video, graphics, camera, UART, SPI, I2C etc. End applications includes mobiles, IOT and automotive products.

Data StructuresC++

Ibm extreme blue internship

Intern

May 2016 – Jul 2016 · 2 mos · Bangalore

Worked on open source cloud computing platform OpenStack for fast and easy deployment of applications in cloud. Configuration of virtual machines and application software are becoming highly complex in Cloud. The solution to this problem is to automate the deployment and configuration using templates. These templates allow the users to specify the information about resource requirements of an application. I have proposed the methods for development of complex templates that consist of various properties like input parameters and conditional logic, lacking in existing simple templates. Using the proposed complex templates, based on user defined input values and conditional logic, various infrastructure stacks can be created in simple templates and can be directly fed into heat engine for deployment. Also we can develop different stacks based on production, dev and test environment as well. The complex templates are developed to accept input parameters, including conditional logic or auto scaling constructs.

Data Structures