Ishan Mukherjee

Ishan Mukherjee

CEO of Rox AI

India β†’ San Francisco, CA

Rox AIMITApple

Honored to be named by Forbes as one of the Top 25 Next Billion-Dollar Startups πŸš€

At Rox, we’re supercharging sellers with AI that thinks like your best repβ€”and scales like your best team.

Honored to be named by Forbes as one of the Top 25 Next Billion-Dollar Startups πŸš€

2025 Startups to bet your career on

Rox was nominated as 2025 startups to bet your career on in Business Insider

2025 Startups to bet your career on

Education

 Manipal Institute of Technology
Manipal Institute of Technology β†—
B.E. Mechatronics, Engineering
2006 - 2010
Harvard Kennedy School
Harvard Kennedy School β†—
Enterprise and Development
2011
 Massachusetts Institute of Technology
Massachusetts Institute of Technology β†—
M.Eng., Advanced Manufacturing and Design
2010 - 2011

Publications

Low-Thermal Noise Input-Filter Design for DC/DC Power Regulators
Low-Thermal Noise Input-Filter Design for DC/DC Power Regulators β†—
skoge.folk.ntnu.no
In this paper input filters of DC/DC converters used in consumer and industrial electronics are studied and analyzed with an intention of developing a low-noise design. Noise attenuation is carried out by developing noise models for thermal noise in single section input filters of Buck, Boost and Buck-Boost DC/DC converters. The models are applied to a basic buck converter example and simulated to propose attenuation techniques.
2010
Cleaning process development and optimization in the surface mount assembly line of power modules
Cleaning process development and optimization in the surface mount assembly line of power modules β†—
dspace.mit.edu
The cleaning process in the surface mount assembly line of power modules had been found to insufficiently remove solder flux residue from printed circuit board (PCB) assemblies after the process of reflow soldering. This thesis details the development of an optimized cleaning process that effectively removes solder flux residue from PCB assemblies. The first stage of this study involves the experimental validation of root cause of process ineffectiveness. A novel visual inspection based grading scale is developed to quantify the amount of residue present. Using the grading scale optimal process parameters were identified and studied. The study finds that power modules are most effectively cleaned in a saponifier based cleaning solution using ultrasonic agitation. Power modules are completely cleaned when washed in an ultrasonic bath at 60Β°C for 7 minutes, in a saponifier based cleaning solution that is 5% concentration by volume.
2011
Simple, Low EMI-Noise Input-Filter Design for DC/DC Power Regulators
Simple, Low EMI-Noise Input-Filter Design for DC/DC Power Regulators β†—
ieeexplore.ieee.org
Input filters of DC/DC converters used in consumer and industrial electronics are studied and analyzed with an intention of developing a low-noise design. Noise attenuation is targeted by developing lumped-circuit-based noise model for EMI in input filters of Buck, Boost and Buck-Boost DC/DC converters. The models are applied to a basic buck converter and simulated to validate the attenuation techniques.
2012
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