Software Engineer at Qualcomm, Studied at IIITB
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Assessing your cultural and operational fit
Qualcomm
Data Scientist
June 16, 2026 – Present
Machine-Learning-in-Python
May 24, 2020 – May 26, 2020
Learnings of Machine Learning in Python
View ProjectEEG_Controlled_Robot
September 18, 2018 – November 21, 2018
Use of EEG for controlling Robot
View ProjectThermography_based_Blood_Flow_Imaging
September 6, 2018 – November 25, 2018
Implementation of paper titled "Thermography-based blood flow imaging in human skin of the hands and feet: a spectral filtering approach" by A A Sagaidachnyi et al
View ProjectInter_Device_Communication_Protocols
February 3, 2018 – April 28, 2018
Verilog Codes of various Inter Device Communication Protocols
View ProjectSDN-Datacenter
October 24, 2017 – December 19, 2017
Making a software defined datacenter. Which includes various virtual networks with mutiple network functions deployed on it. This includes SDN network deployed on real hardware.
View ProjectDigital_Image_Processing
January 12, 2017 – April 10, 2017
Consists of varoius questions involving imageprocessing and their respective implementation's in python using openCV and presentations, notes
View ProjectCultural Fit Analysis
The candidate's projects show a broad range of technical interests, from low-level hardware (RTOS, Verilog) to higher-level applications (Machine Learning, Image Processing). This diversity could indicate adaptability and a willingness to learn new domains. However, the projects are predominantly personal/academic, and the single professional experience listed is current, providing limited insight into past team collaboration or work ethic. The alignment with a 'Data Scientist' role is present in some projects (Machine-Learning-in-Python, Thermography_based_Blood_Flow_Imaging) and the current job title, but the overall project portfolio is very broad, which might suggest a less focused career path or a strong generalist tendency. The experience level is listed as 0, which contradicts the current role at Qualcomm, making it difficult to accurately assess cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores provided.