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Yashwanth Mandula

Product Manager

Bengaluru, Karnataka, India9 yrs 5 mos experience

Key Highlights

  • Expert in Machine Learning and Deep Learning applications.
  • Proven track record in wireless communication algorithm development.
  • Strong background in digital signal processing for VLSI solutions.
Stackforce AI infers this person is a specialist in Wireless Communication and Digital Signal Processing.

Contact

Skills

Core Skills

Machine LearningDeep LearningWireless CommunicationAlgorithm DevelopmentDigital Signal Processing

Other Skills

Neural NetworksRandom ForestSVMLSTMGraph Neural NetworksPhysical layer algorithms802.11ax WIFI standardWIFI based location estimationTransmit Beam Forming802.11ax/11ac standardsRadar DetectionLLR tuningADSL/VDSL standardsNotch filter cancellerAdaptive hybrid

Experience

9 yrs 5 mos
Total Experience
--
Average Tenure
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Current Experience

Cadence design systems

Principal Product Engineer, Machine Learning

May 2019Jul 2021 · 2 yrs 2 mos · Greater Bengaluru Area

  • Applying Machine Learning/Deep Learning algorithms such as Neural Networks, Random Forest, SVM's LSTM/Tree based LSTM, Graph Neural Networks to solve VLSI problems,
Machine LearningDeep LearningNeural NetworksRandom ForestSVMLSTM+1

Qualcomm

2 roles

Lead Engineer, Sr

Dec 2016May 2019 · 2 yrs 5 mos

  • Modeling and development of physical layer algorithms for 802.11ax WIFI standard
  • WIFI based location estimation
  • Transmit Beam Forming
Physical layer algorithms802.11ax WIFI standardWIFI based location estimationTransmit Beam FormingWireless CommunicationAlgorithm Development

Senior Engineer

Feb 2014Dec 2016 · 2 yrs 10 mos

  • Involved in the Algorithm development and modelling of 802.11ax/11ac standards.
  • Radar Detection.
  • LLR tuning in the presence of DC and CFO.
  • Transmit beam forming.
Algorithm development802.11ax/11ac standardsRadar DetectionLLR tuningTransmit beam formingWireless Communication+1

Ikanos communications

Engineer DSP

Jan 2012Jan 2014 · 2 yrs

  • Worked on physical layer algorithms for ADSL/VDSL standards
  • Notch filter canceller to minimize the interference.
  • Adaptive hybrid to minimize the Tx Echo into Rx.
  • Symbol boundary algorithm refinements.
Physical layer algorithmsADSL/VDSL standardsNotch filter cancellerAdaptive hybridSymbol boundary algorithmDigital Signal Processing+1

Education

Indian Institute of Science (IISc)

Doctor of Philosophy

Aug 2021Sep 2026

Indian Institute of Science (IISc)

Master of Engineering (MEng) — Signal Processing

Jan 2009Jan 2011

Jawaharlal Nehru Technological University Hyderabad (JNTUH)

Bachelor of Technology (B.Tech.) — Electronics and Communications Engineering

Jan 2005Jan 2009

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