Sripada Kadambar

CEO

Bengaluru, Karnataka, India13 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in AI-driven wireless communication solutions.
  • Proven track record in 5G technology development.
  • Published multiple research papers in IEEE conferences.
Stackforce AI infers this person is a Telecommunications Architect specializing in 5G and AI-driven solutions.

Contact

Skills

Core Skills

Machine Learning5g New Radio

Other Skills

AI in WirelessCSI prediction algorithmThroughput gainAI-based CSI compression3GPP submissionsmmWave beam managementML-based CSI estimationPeak UE throughputSpectral efficiencyNR chipset analysisMatlab simulatorField issue supporteNB synchronizationcell-ID detectionMatlab

Experience

13 yrs 10 mos
Total Experience
6 yrs 11 mos
Average Tenure
12 yrs 6 mos
Current Experience

Samsung r&d institute india - bangalore

6 roles

Architect

Mar 2025Present · 1 yr 3 mos

Senior Chief Engineer

Promoted

Aug 2020Feb 2025 · 4 yrs 6 mos

  • 1. Development of UE differentiation solutions and AI in Wireless for 3GPP.
  • 2. Designed MIESM domain low-complexity CSI prediction algorithm for implementation on Shannon (Samsung) modem chipset. Approach published in IEEE VTC 2023.
  • 3. Lead the development and integration of the algorithm in Shannon chipset based modem. Coordinated lab/field test efforts to observe 5%-10% throughput gain in real world conditions, specifically cell-edge.
  • 4. Rel-18/19 AI: Design and evaluation of bi-LSTM based AI-based CSI compression/prediction algorithm for 3GPP Rel-18/19 AI study item. Contributed to multiple 3GPP tdoc submissions. Part of the work published in IEEE Globecom 2023.
  • 5. Developed AI-based (ResNet/LSTM) beamspace CSI compression algorithm for ORAN 7.2B to achieve significant overhead reduction in DU to RU precoder info transfer. Work published in IEEE ICC 2025.
Machine LearningAI in WirelessCSI prediction algorithm5G New RadioThroughput gainAI-based CSI compression+1

Chief Engineer

Mar 2019Jul 2020 · 1 yr 4 mos

  • 1. Design and implementation of sensor-based mmWave beam management (SBM) on Shannon (Samsung) modem chipset.
  • 2. Handled design, solution integration into chipset, and lab-testing for SBM. Improved peak UE throughput by 5%-20% under UE mobility conditions.
  • 3. Developed ML-based CSI estimation/prediction algorithm to improve UE CSI reporting performance by 6.5% in terms of spectral efficiency. Findings published in IEEE 5GWF 2020 and IEEE CCNC 2021.
mmWave beam managementML-based CSI estimationPeak UE throughputSpectral efficiencyMachine Learning5G New Radio

Technical Lead

Promoted

Mar 2017Feb 2019 · 1 yr 11 mos

  • 1. Customer field issue support: Analyzed various NR chipset L1/L2 issues (BLER, throughput, etc) using vendor tools (QXDM/QCAT) and python (pandas, matplotlib).
  • 2. Handled NR 5G phy study, ideation, and presentations on multiple phy topics to SRIB/overseas teams.
  • 3. NR Phy Matlab simulator: Owned CDL channel dev (as per 38.901), contributed to multiple PDSCH/PDCCH components. Developed FR2 beam combining based cell search optimization (published in IEEE CCNC 2020).
NR chipset analysisMatlab simulatorField issue support5G New Radio

Lead Enginner

Promoted

Mar 2015Feb 2017 · 1 yr 11 mos

  • 1. eNB synchronization and cell-ID detection algorithm design and benchmarking in Matlab. Fixed point modelling, SIMD specific implementation for MTC cell search, PoC implementation on CEVA XC323 DSP.
  • 2. Extension to MTC and NB-IoT scenarios. Findings published in IEEE WCNC 2016.
  • 3. D2D simulator: Developed multiple modules including encoding, 3GPP channels, tx-rx path components to handle TM1 Tx communication and discovery type-I.
eNB synchronizationcell-ID detectionMatlabD2D simulator5G New Radio

Senior Software Engineer

Jul 2013Feb 2015 · 1 yr 7 mos

  • 1. Intel XMM7160: Support for L2/L1 stack stabilization, through operator test case issue analysis.
  • 2. Implementation of periodogram based frequency scanning optimization for Intel chipset in Matlab.
  • 3. LTE physical layer simulator: Developed modules for synchronization signal, PRACH, and CSI-RS sequence generation, mapping and time-domain signal generation in Matlab.
L2/L1 stack stabilizationfrequency scanning optimizationLTE physical layer simulator5G New Radio

Indian institute of science

Research Assistant

Apr 2010Jun 2010 · 2 mos

Schneider electric

Design Engineer

Jul 2008Nov 2009 · 1 yr 4 mos

Education

Indian Institute of Technology, Bombay

Master's degree — Communication and Signal Processing

Jan 2010Jan 2013

The National Institute Of Engineering, Mysore

Bachelor's degree — Electronics and Communications Engineering

Jan 2004Jan 2008

Stackforce found 100+ more professionals with Machine Learning & 5g New Radio

Explore similar profiles based on matching skills and experience