Shubhangi Shrivastava

AI Researcher

Bengaluru, Karnataka, India11 yrs 7 mos experience

AI EnabledHighly Stable

Key Highlights

Over 10 years of AI software development experience.
Expert in Neural Networks and performance characterization.
Proven track record in delivering end-to-end ML solutions.

Stackforce AI infers this person is a skilled AI and software development engineer with a focus on machine learning and embedded systems.

Contact

Skills

Core Skills

Neural NetworksOpenvinoConvolutional Neural Networks (cnn)

Other Skills

Intel extension of PyTorchAI application developmentgame developmentdeep learning inferencevLLMOpenVINO GenAILarge Language Models (LLM)Recurrent Neural Networks (RNN)PythonTensorFlowMicrocontrollersShell ScriptingDesign PatternsCloud ComputingSoftware Engineering

About

Experienced AI Software Development Engineer with over 10 years of expertise, adept at collaborating effectively within teams and working independently. Strong problem-solving skills with capability to deliver on key project milestones. Demonstrated history of creating business solutions through Neural Networks and enabling their inference on accelerators and processing units while characterizing performance for the same. Along with providing end to end ML solutions to customers, have also developed and up-streamed features related to Display Port and Embedded Display Port on Android based x86 platforms.

Experience

11 yrs 7 mos

Total Experience

11 yrs 7 mos

Average Tenure

11 yrs 7 mos

Current Experience

Intel corporation

3 roles

AI Software Development Engineer

Promoted

Jul 2016 – Present · 9 yrs 11 mos · Bengaluru, Karnataka, India

Worked on an AI application that enables end to end vision AI use cases by inferencing Neural Networks on Intel’s processing units (XPUs) like CPU, GPU and VPU using OpenVINO toolkit and characterizes their performance on Intel’s XPUs.
Worked on highlights detector for multiplayer online game which serve as game highlights used in customer’s game broadcast.
Worked on enabling inferencing of 1D convolutional neural network for sound classification on deep learning inference accelerator Gaussian and Neural Accelerator (GNA) while characterizing power and performance for the same.

Convolutional Neural Networks (CNN)Intel extension of PyTorchOpenVINONeural Networks

Graphics Software Engineer

Jun 2015 – Jun 2016 · 1 yr · Bengaluru, Karnataka, India

Worked on various Display features related to Display Port for x86 based Linux/Android products in Linux kernel’s gpu/drm/i915 subsystem which include implementing various compliance requirements and bug fixes, DP Audio enabling with switching capability between the external panels on hotplug for all port-pipe combinations. Actively worked with drm maintainers to submit as well as review patches to get them merged to mainline.

Intern

Oct 2014 – Jun 2015 · 8 mos · Bengaluru, Karnataka, India

Infosys

Systems Engineer

Feb 2012 – Jul 2013 · 1 yr 5 mos · India

I was working in Education and Research Department at Infosys where I took up sessions for the fresh recruits of Infosys as part of Infosys training and manage those trainee batches. I had also played a part in developing internal tools for Infosys. I was a part in developing an application portal to provide a practical approach towards learning in the training period.