Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Languages
Timeline
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SHUBHAM KSHITEESH MISHRA

FAIZABAD

Summary

Aspiring to be in position to contribute individually and holistically to achieve organization goal based on the strength of my aptitude, attitude, determination and commitment.

Overview

6
6
years of professional experience

Work History

Senior ISP Engineer

Qualcomm India Pvt Ltd
Noida, Uttar Pradesh
2023.07 - Current

WRD Firmaware Engineer

Qualcomm India Pvt LTD
Hyderabad
08.2018 - 06.2023
  • DMRS Module Owner in Low power chipset : Currently, I am overall owner of DMRS module in the chippset
  • My responsibility pertains to development, optimization and implementation of algorithm keeping in mind the least power and memory consumption
  • Design of Channel Estimation Firmware: Currently involved in the effective implementation of channel estimation module in firmware using C language in terms of least memory and least power consumption
  • SDM865 Modem Firmware: Involved in debugging issues related to memory corruption and timeline
  • Adaptable Wavelet Transform Using Machine Learning: Worked in the design and implementation in C , to achieve high throughput along with least memory consumption and least power consumption with least MIPS in highly non stationary scenario
  • Used wavelet transform and machine learning technique
  • ADAPTIVE BRF ALGORITHM: Developed with the help of machine learning to monitor the health of calibration system

Education

Post Graduation -

IIT KANPUR
08.2018

Skills

  • C
  • C
  • Python
  • Perforce
  • VIM
  • Source Insight
  • Linux
  • System Design
  • MathWorks MATLAB

Accomplishments

  • Wavelet − Haar Transform based Tracking for Channel Aging in Massive MIMO Systems (US Patent 17/069,636-Filed)
  • Minimizing Interference in an Aged Massive MIMO System. 13th International Conference on Communication Systems and Networks (COMSNETS,2020)
  • Wavelet − Haar Transform based Tracking for Channel Aging in Massive MIMO Systems In 2019 Qbuzz Qualcomm Conference (Selected in Top 15 Ideas, Qbuzz 2019)
  • Self Correction Algorithm
  • SVM is Modified in order so that it works on huge varieties of data set.
  • Only one time training is required.
  • Presented in The Qualcomm ML Summit organised in San Diego, California, United States

Languages

English

Timeline

Senior ISP Engineer

Qualcomm India Pvt Ltd
2023.07 - Current

WRD Firmaware Engineer

Qualcomm India Pvt LTD
08.2018 - 06.2023

Post Graduation -

IIT KANPUR

SHUBHAM KSHITEESH MISHRA