Shashank Verma Email & Phone Number
@nvidia.com
1 phone found area 128
LinkedIn matched
Who is Shashank Verma? Overview
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Shashank Verma is listed as Product Research Engineering Manager at NVIDIA, based in Santa Clara, California, United States. AeroLeads shows a work email signal at nvidia.com, phone signal with area code 128, and a matched LinkedIn profile for Shashank Verma.
Shashank Verma previously worked as Senior Developer Advocate Engineer - Deep Learning at Nvidia and Graduate Teaching Assistant, Data Science & Engineering at University Of Wisconsin-Madison. Shashank Verma holds Ms Electrical Engineering, Specialization In Machine Learning & Computer Vision from University Of Wisconsin-Madison.
Email format at NVIDIA
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AeroLeads found 1 current-domain work email signal for Shashank Verma. Compare company email patterns before reaching out.
About Shashank Verma
I'm a Data Scientist and Developer Advocate with over six 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.
Listed skills include Matlab, Communication Systems, Mobile Communications, C++ Language, and 94 others.
Shashank Verma's current company
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Shashank Verma work experience
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Senior Developer Advocate Engineer - Deep Learning
Developer Advocate - Promoting DL products and improving market reachby 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.
Graduate Teaching Assistant, Data Science & Engineering
- 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 Science Intern
- 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.
System Software Engineer
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 Software Intern
- 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.
Colleagues at NVIDIA
Other employees you can reach at nvidia.com. View company contacts →
Junghyun Kim
Colleague at NvidiaSan Jose, California, United States
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MY
Mykola Yatsyshyn
Colleague at NvidiaKyiv Metropolitan Area, Ukraine
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Lena Fischer
Colleague at NvidiaUnited States
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GJ
Guangying Jiang
Colleague at NvidiaSan Jose, California, United States
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AR
Amit Rotem
Colleague at NvidiaTel Aviv District, Israel
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SA
Shubham Agrawal
Colleague at NvidiaNew York, United States
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VR
Virbhadra R.
Colleague at NvidiaSan Jose, California, United States
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RC
Robert Crovella
Colleague at NvidiaProsper, Texas, United States
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DB
David Boyd
Colleague at NvidiaUnited Kingdom
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VP
Vatsal Parekh
Colleague at NvidiaBengaluru, Karnataka, India
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Shashank Verma education
Ms Electrical Engineering, Specialization In Machine Learning & Computer Vision
B. E. (Hons.), Electrical And Electronics Engineering
Frequently asked questions about Shashank Verma
Quick answers generated from the profile data available on this page.
What company does Shashank Verma work for?
Shashank Verma works for NVIDIA.
What is Shashank Verma's role at NVIDIA?
Shashank Verma is listed as Product Research Engineering Manager at NVIDIA.
What is Shashank Verma's email address?
AeroLeads has found 1 work email signal at @nvidia.com for Shashank Verma at NVIDIA.
What is Shashank Verma's phone number?
AeroLeads has found 1 phone signal(s) with area code 128 for Shashank Verma at NVIDIA.
Where is Shashank Verma based?
Shashank Verma is based in Santa Clara, California, United States while working with NVIDIA.
What companies has Shashank Verma worked for?
Shashank Verma has worked for Nvidia, University Of Wisconsin-Madison, and Plentify.
Who are Shashank Verma's colleagues at NVIDIA?
Shashank Verma's colleagues at NVIDIA include Junghyun Kim, Mykola Yatsyshyn, Lena Fischer, Guangying Jiang, and Amit Rotem.
How can I contact Shashank Verma?
You can use AeroLeads to view verified contact signals for Shashank Verma at NVIDIA, including work email, phone, and LinkedIn data when available.
What schools did Shashank Verma attend?
Shashank Verma holds Ms Electrical Engineering, Specialization In Machine Learning & Computer Vision from University Of Wisconsin-Madison.
What skills is Shashank Verma known for?
Shashank Verma is listed with skills including Matlab, Communication Systems, Mobile Communications, C++ Language, Css, Html5, Public Speaking, and X86 Assembly.
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