Makarand Muley

Lead ML Engineer

Bengaluru, Karnataka, India13 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning lifecycle.
Proficient in Java and Python for software development.
Experience in Computer Vision and Augmented Reality projects.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and Software Development.

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Skills

Other Skills

StatisticsDeep LearningSoftware DevelopmentC++LinuxMySQL

About

• Experienced in all phases of Machine Learning and Deep Learning project lifecycle such as data collection, feature extraction, model development, performance evaluation, fine-tuning and deployment. • Extensive hands-on experience in Machine Learning techniques such as Linear Regression, Logistic Regression, Classification, Support Vector Machines, Decision Trees, Clustering. • Extensive hands-on experience in Deep Learning techniques such as Convolution Neural Networks, Recurrent Neural Networks. • Strong knowledge of Data Structures, Algorithms. Key skills: • Java, Python • Scikit-learn, TensorFlow • Numpy, Pandas.

Experience

13 yrs 2 mos

Total Experience

3 yrs 3 mos

Average Tenure

4 yrs 6 mos

Current Experience

Google

Machine Learning Software Engineer

Nov 2021 – Present · 4 yrs 6 mos · Bengaluru, Karnataka, India

Intel corporation

3 roles

Machine Learning Software Engineer

Jun 2018 – Nov 2021 · 3 yrs 5 mos

Software Engineer

Promoted

Oct 2016 – Jun 2018 · 1 yr 8 mos

Part of Client Architecture and Innovation team.
Domain: Augmented Reality / Virtual Reality.
Developed a 3D reconstruction pipeline for Intel's client platform using Computer Vision and Machine Learning.

Recent College Graduate

Jul 2014 – Sep 2016 · 2 yrs 2 mos

Part of Visual and Parallel Computing Group (VPG).
As a Graphics Software Engineer, incorporated new display features into Intel's i915 display driver.

Amazon

Software Development Engineer Intern

Jan 2014 – Jun 2014 · 5 mos · Bangalore

Part of Prime Video team.
Implemented a new framework which reduced launch time of Amazon Instant Video app on a new device and enhanced end users' video experience.

Cognizant technology solutions

Programmer Analyst Trainee

Jul 2011 – Jul 2012 · 1 yr · Pune Area, India

Part of Automation and Manual Testing team for Banking and Financial applications.
Performed end-to-end automation testing using HP Quick Test Pro (QTP).
Designed and executed manual test suites using HP Quality Center (QC).