Sumit Singh

Software Engineer

Bengaluru, Karnataka, India10 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in audio processing and optimization techniques.
  • Proven track record in machine learning applications.
  • Strong foundation in software development with C++.
Stackforce AI infers this person is a Software Engineer specializing in audio processing and machine learning within the Consumer Electronics sector.

Contact

Skills

Core Skills

C++Audio ProcessingMemory OptimizationCDsp OptimizationMachine LearningNatural Language Processing

Other Skills

ARM NEONAdaBoostAlgorithmsData AnalysisData StructuresInter-process CommunicationMatlabMySQLPythonSVMSound AlgorithmsWeb Development

Experience

Amazon

Software Development Engineer II

Feb 2022Present · 4 yrs 1 mo · Bangalore Urban, Karnataka, India · Hybrid

Nurture.farm

Software Engineer

Jul 2021Jan 2022 · 6 mos · Bengaluru, Karnataka, India

Samsung electronics

Software Engineer

Jul 2019Jul 2021 · 2 yrs · Noida Area, India

  • Currently working with audio team - resposibilties include development of new features and performance improvements of the existing ones
  • Multi-process for AISound app -
  • Reduced Proportional Set Size(PSS)+SWAP memory during boot time
  • Implemented intelligent mode features(Active Voice Amplifier and Adaptive Sound)
  • Refactored existing code base(C++) to use sub-process and used shared memory for inter-process communication
  • Reduced memory footprint of the application by almost 50 percent compared to previous version. Currently being used in samsung smart TVs worldwide
  • Soundbar algorithms optimization
  • Used ARM NEON intrinsics(Single Instruction Multiple Data) for C code optimization of audio data processing. Reduced total MCPS by 48 percent
  • Working on Hifi4 DSP optimization(SIMD) for algorithms of soundbar using xtensa xplorer tool.
  • Task includes reducing MCPS count as a whole. Currently able to reduce the MCPS by 62 percent
C++Audio ProcessingARM NEONSound Algorithms

Maq software

Software Developer Internship

May 2018Jul 2018 · 2 mos · Hyderabad Area, India

  • CUSTOMER CHURN PREDICTION -
  • Worked on identifying customers who are likely to drop off in the period
  • of next three months using historical data
  • Used state of the art Machine Learning(ML) algorithms such as
  • AdaBoost, SVM with gaussian kernel for model building
  • Due to sparsity and data imbalance, built three different models for
  • different partitions of data. Combination of these returned high
  • precision and recall values on test data
  • SMART SEARCH TOOL FOR AUTOMATED COMMENT CATEGORIZATION -
  • Worked on a web-based application that was used to search phrases in
  • customer feedback database
  • Designed and implemented functionalities for phrase recommendation
  • using state of the art Natural Language Processing(NLP) techniques
  • which in turn reduced the manual efforts required for comment
  • categorization by more than 75%

Indian institute of technology, ropar

Graduate Student

Jul 2015May 2019 · 3 yrs 10 mos · Rupnagar

  • Completed B.Tech from Indian Institute of Technology, Ropar

Education

Indian Institute of Technology, Ropar

Bachelor of Technology - BTech — Computer Science

Jan 2015Jan 2019

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