Shashank Verma

Product Manager

Santa Clara, California, United States9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Deep Learning and Software Engineering.
Proven track record in promoting developer adoption.
Strong background in creating impactful ML solutions.

Stackforce AI infers this person is a Data Science and Software Engineering expert in the AI and Energy sectors.

Contact

shashank.dsce@gmail.com LinkedIn

Skills

Core Skills

Deep LearningSoftware EngineeringData ScienceData EngineeringMachine LearningSystem Software EngineeringMultimedia Software Development

Other Skills

ARIMAAgile Application DevelopmentAgile MethodologiesCCompetitive AnalysisData AnalysisData ManipulationData StructuresData VisualizationEmbedded SystemsEnsemble RegressionFacebook ProphetGitH.264IoT

About

I'm a Data Scientist and Developer Advocate with eight years of experience in Deep Learning and Software Engineering. I work at NVIDIA, and simply put, I specialize in helping developers adopt our frameworks, and see the value in our products. As a Developer Advocate, I'm skilled in crafting demo applications, code examples, tutorials, custom AI solutions, and writing technical content involving Deep Learning products to help the developer community. I'm also passionate about learning and improving my tech persuasion capabilities. As a programmer, I'm fluent in multiple programming languages (including Python and C++) and frameworks, with the ability in producing clean code. My focus of specialization includes areas of Deep Learning, Software Engineering, and High-Performance Computing. NOTE: The views and opinions expressed on this platform are my own and do not represent those of my employer, NVIDIA.

Experience

Nvidia

Product Research Engineering Manager

Jul 2020 – Present · 5 yrs 8 mos · Santa Clara, California, United States

Developer Advocate - Promoting DL products and improving market reach
by creating software applications, writing developer blogs, tutorials and giving presentations/talks. Involves all aspects of app development from understanding research, training, and deploying models, and ML lifecycle management (MLOps).
Performing detailed Technical Reviews and Competitive Analysis of products/frameworks to better understand the market, and help improve our Deep Learning products.
Supporting external customers by helping them understand how best to leverage our technology and work with internal teams to help optimize performance for their platform.

Deep LearningSoftware EngineeringMLOpsTechnical ReviewsCompetitive Analysis

Plentify

Data Science Intern

Jun 2019 – Aug 2019 · 2 mos · Cape Town, South Africa

Created an ML-based Intelligence Engine that learns residential hot-water (energy) consumption patterns and is designed to work with IoT devices installed in smart homes to optimize electricity costs and consumption load peaks.
Explored ML techniques like ARIMA, Facebook Prophet, RNN-based and Ensemble Regression methods (Gradient Boosting/ Random Forest) to forecast hot-water usage events based on consumer hot-water/energy usage data.
Also performed technical analysis to extract data-driven insights to support business development.

Machine LearningIoTARIMAFacebook ProphetRNNEnsemble Regression+1

University of wisconsin-madison

Graduate Teaching Assistant, Data Science & Engineering

Jan 2019 – Jul 2020 · 1 yr 6 mos · Madison

Aided efforts in designing the novel data science coursework encompassing elements of data engineering, visualization, supervised and unsupervised learning.
Created assignments/exams, performed evaluations and conducted TA office sessions.

Data ScienceData VisualizationSupervised LearningUnsupervised LearningData Engineering

Nvidia

2 roles

System Software Engineer

Jul 2016 – Aug 2018 · 2 yrs 1 mo · Bangalore

Safety:
Developed safety system-software including boot codes, drivers and application layer programs for an ARM based cluster. Exposed to bootloaders and various embedded OS (LK-OS, FreeRTOS and AUTOSAR OS).
Successfully co-designed and implemented a software mechanism for handling and maintaining a record of DRAM-ECC errors within a hardware platform for automotive .
Multimedia:
Implemented, supported and maintained Linux device drivers for audio hardware modules on an embedded target.
Gained familiarity with Linux kernel development, software debugging techniques, and code- optimization techniques.

System SoftwareLinuxEmbedded SystemsSoftware DebuggingSystem Software Engineering

System Software Intern

Jul 2015 – Dec 2015 · 5 mos · Bangalore

Developed H.264 video streaming functionality in a performance intensive multimedia framework.
Implemented software to offload color-space conversion (YUV to RGB) from CPU to GPU using OpenGL APIs and shaders for video rendering.

H.264OpenGLVideo StreamingMultimedia Software Development