Yugesh AV

Machine Learning Engineer

Hyderabad, Telangana, India7 yrs experience
Highly StableAI Enabled

Key Highlights

  • Expert in Machine Learning and AI product development.
  • Proven track record in deploying deep learning models.
  • Strong background in algorithm optimization and software development.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven product development.

Contact

Skills

Core Skills

Machine LearningSoftware Development

Other Skills

AIAlgorithmsAndroid StudioArtificial Intelligence (AI)CC (Programming Language)C++Cluster AnalysisCompetitive ProgrammingComputer VisionData MiningData ScienceData StructuresDebuggingDeep Learning

About

A Highly Motivated person with Strong Technical, Problem solving and Managing skills who like to create Impact to the organization/work I am part of and always love to socialize and experience new things in life.

Experience

7 yrs
Total Experience
3 yrs 9 mos
Average Tenure
3 yrs 3 mos
Current Experience

Google

Engineer - Audio Machine Learning | DSPA

Mar 2023Present · 3 yrs 3 mos · Greater Hyderabad Area · On-site

Meeami technologies pvt ltd

3 roles

Senior ML Engineer - Audio R&D

Aug 2021Mar 2023 · 1 yr 7 mos

  • 1. Worked on building a World Class Noise Cancellation Product using AI
AINoise CancellationMachine Learning

Machine Learning Engineer

May 2019Jul 2021 · 2 yrs 2 mos

  • 1. Integral member of a strong and passionate team in ML Development & Algorithm optimization for neural network architectures
  • 2. Hands-on Experience in converting Pytorch / TF Models to C and porting on target hardware
  • 3. Expertise in Deploying Deep Learning Models into Production Level using math libraries
  • 4. Writing and implementing efficient code for training, testing and reducing GPU Inferencing times
  • 5. Experience at both the firmware (RTOS) and system level (Linux) in SOC
  • 6. Real time Integration of AI Products into VOIP Application & Driver Development
  • 7. Independently deliver Release Packages for MAC, Windows, Linux and Mobile Platforms to clients till date
PytorchTensorFlowCDeep LearningNeural NetworksMachine Learning+1

Machine Learning Intern

Oct 2018Apr 2019 · 6 mos

  • 1. Worked on Universal Keyword Spotting / Wakeword Detection Engine
  • 2. Developing customized models with low memory foot print for x86, x64
  • 3. Retraining the existing networks and verifying the performance
  • 4. Postprocessing and analyzing the posterior confidence score
  • 5. Decision logic tuning and improving the model performance

Education

Rajiv Gandhi University of Knowledge Technologies, RKValley (RAC)

Bachelor of Technology — Computer Science and Engineering

Jan 2015Jan 2019

Rajiv Gandhi University of Knowledge Technologies, RKValley (RAC)

Pre University Course (12th)

Jan 2013Jan 2015

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