Vineet Garg

AI Researcher

San Francisco, California, United States9 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in model compression for efficient LLM inference.
  • Strong background in machine learning and robotics.
  • Proven experience in predictive anomaly detection.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on Robotics and Signal Processing.

Contact

garg.vineet1@gmail.comLinkedIn

Skills

Core Skills

Machine LearningModel CompressionDeep LearningRoboticsSignal ProcessingControl System Design

Other Skills

CC++Computer VisionData StructuresFilter DesignKPI Alert correlationKerasMatlabMicrocontrollersMotion PlanningMotion SensorMotor ControlPIDPredictive anomaly detectionPySpark

About

Machine Learning Engineer working on compressing LLMs for efficient inference on Apple devices. Research interests include Machine Learning, Computer Vision, Signal Processing, Robotics.

Experience

Apple

2 roles

Machine Learning Engineer

Jul 2019 – Present · 6 yrs 8 mos · San Francisco Bay Area

  • Model Compression
  • Siri Speech
Model CompressionMachine LearningSiri Speech

Machine Learning Intern

May 2018 – Aug 2018 · 3 mos · San Francisco Bay Area

  • Predictive anomaly detection, KPI Alert correlation and root cause analysis for Site Reliability applications using machine learning and deep learning algorithms.
Predictive anomaly detectionKPI Alert correlationRoot cause analysisMachine LearningDeep Learning

Systemantics india pvt. ltd.

2 roles

Project Engineer

Jun 2015 – Jun 2017 · 2 yrs · Bengaluru Area, India

  • 6-axis industrial robotic arm.
  • Control system design, Signal Processing.
Control system designSignal ProcessingRobotics

Intern

May 2014 – Jul 2014 · 2 mos · Bengaluru Area, India

Education

Texas A&M University

Master of Science - MS — Electrical Engineering

Jan 2017 – Jan 2019

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Electrical Engineering

Jan 2011 – Jan 2015

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