Akshit Bhalla

Questioner
DISC Type : c

Research Scientist/Engineer at Adobe

San Francisco Bay Area, United States

Overview

Akshit is a Research Engineer at Adobe Research in San Jose, focusing on machine learning infrastructure and scalable cloud deployments. A graduate of Carnegie Mellon University, his background includes developing tools for large-scale data pipeline performance monitoring in a project funded by the Honda Research Institute.

Based on his achievements, Akshit has a strong interest in immersive and mobile web technologies. He has previously won a hackathon focused on WebVR and earned a Google Challenge Scholarship for his skills as a Mobile Web Specialist.

Unique fact: He recently co-authored a research paper on the Model Context Protocol for Vision Systems, analyzing security and workflow patterns in AI deployments.

Personality Overview

Systematic

Cautious & Analytical

Value Seeker

They prefer to do thorough analysis of any situation.  They are more likely than others to negotiate on pricing and terms. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.

Topics They Care About

ML Infrastructure
His current research at Adobe focuses on distributed systems for machine learning training, inference, and scalable cloud deployments.
Data Pipeline Performance
At Carnegie Mellon, he contributed to a Honda-funded project to monitor and identify bottlenecks in large data pipelines for applications like autonomous vehicles.
Vision System Protocols
Recently co-authored a research paper analyzing security and orchestration patterns in vision-centric AI systems.

Media Appearances

Akshit has no verified media appearances

Work History

2-2024
Research Scientist/Engineer at Adobe
5-2023 - 8-2023
Research Scientist/Engineer Intern at Adobe
11-2022 - 5-2023
Research Assistant - Computer Science Department at Carnegie Mellon University School of Computer Science
5-2022 - 7-2022
R&D Software Engineer 2 at Hewlett Packard Enterprise
9-2020 - 5-2022
R&D Software Engineer I at Hewlett Packard Enterprise

Education

8-2022 - 12-2023
Master's degree from Carnegie Mellon University
2016 - 2020
Bachelor of Engineering - BE from B. M. S. College of Engineering

More Information

Social Presence :

Prographics :

Exp : 6 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Research Scientist/Engineer at Adobe
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Insights For Selling To Akshit

During A Call Or A Meeting

DO's

  • Emphasise more on facts and measurable benefits
  • Keep some extra margin in hand as they will likely negotiate the pricing
  • Tell them that you will come back if you don’t have a good answer for a question

DONT's

  • Avoid rushing them, be polite and patient
  • Don’t overhype the product/pitch, keep it measured
  • Don’t depend too much on anecdotal evidence, it reduces their confidence

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Akshit is

  • Confidence that the product provides ROI, effective pricing and process adherence matter the most to them.

  • Will you ever get a clear answer from Akshit

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Akshit move?

  • They can move at a reasonable pace while making their decisions if they have the necessary information.

  • Can Akshit take some risk or not?

  • They can take some risk if they are confident that they have analyzed the circumstances well.


You And Akshit

Personality Compatibility


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