G

Gaurav Ahuja

Software Engineer

Sunnyvale, California, United States9 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Computer Vision.
  • Developed innovative biometric authentication systems.
  • Strong experience in cloud backend development.
Stackforce AI infers this person is a Software Engineer specializing in Cloud Computing and Security Technology.

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Skills

Core Skills

JavaPythonAzureBiometricsComputer Vision

Other Skills

C++CMachine LearningImage ProcessingAlgorithmsProgrammingData StructuresMatlabHTMLMicrosoft OfficeMicrosoft ExcelLinuxSQLApache Sparkscala

Experience

9 yrs 5 mos
Total Experience
3 yrs 1 mo
Average Tenure
5 yrs 6 mos
Current Experience

Google

Software Engineer

Dec 2020Present · 5 yrs 6 mos · Mountain View, California, United States · On-site

JavaC++CMachine LearningComputer VisionImage Processing+12

Rubrik, inc.

2 roles

Software Engineer

Feb 2019Dec 2020 · 1 yr 10 mos · Palo Alto, California · On-site

Member of Technical Staff Intern

May 2018Aug 2018 · 3 mos · Palo Alto, CA

  • Intern in Datos IO team.
  • Created docker image for compiling code and generating Recover-x builds on laptop and cloud
  • Developed Azure backend in Storage Federation Layer using Azure storage SDK to store and retrieve backups
  • Implemented fine grained progress tracking of each step of backup and restore tasks

Samsung electronics

2 roles

Software Engineer

Jul 2015Aug 2017 · 2 yrs 1 mo · Noida Area, India

  • Software engineer in IL Innovation team.
  • Biometrics: Developed an authentication system based on a novel biometric modality. Implemented the functionality to collect raw data and extract biometric template. Trained SVM and ensemble of decision trees on handcrafted features for authentication. Collected data of 520 users and achieved 4.34% False Rejection Rate (FRR) at 0.0017% False Acceptance Rate (FAR)
  • BioHashing: Developed a two factor fingerprint authentication system using biohashing
  • Private Mode: Worked on development of service and framework layer of Private Mode feature in Samsung smartphones

Internship

May 2014Jul 2014 · 2 mos · Noida, India

  • Facial Landmark Detection
  • Trained HAAR feature based cascaded classifiers for detecting eyes and mouth in face images
  • Used a regression model to obtain coarse estimates of facial landmarks. Trained random forests and a regression model to iteratively refine the estimates using local information and global shape

Education

Stony Brook University

Master's degree — Computer Science

Jan 2017Jan 2018

Indian Institute of Technology, Delhi

Bachelor’s Degree — Computer Science and Engineering

Jan 2011Jan 2015

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