Karan Rai

Software Engineer

San Francisco, California, United States9 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in software engineering with a focus on machine learning.
Proven track record in developing recommendation systems.
Strong background in data analysis and algorithm design.

Stackforce AI infers this person is a Software Engineer specializing in B2C recommendation systems and data-driven solutions.

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Skills

Core Skills

Software EngineeringMachine LearningSearch EngineeringData AnalysisData ScienceAlgorithm DevelopmentComputer VisionSoftware Development

Other Skills

C++PythonJavaHTMLData MiningSearch AlgorithmsEmail SearchAlgorithm DesignGraph VisualizationOpenCVMicrosoft OfficeMatlabPowerPointMicrosoft ExcelPhotoshop

About

I am currently a Software Engineer in the Google Discover team working on Quality and Ranking. Prior to this, I was in the Substrate Search Suggestions team at Microsoft for 2 years. I have a Masters Degree in Computer Science from Stanford, specializing in Artificial Intelligence. During that, I did a summer internship at Apple in the iOS Power Analytics Team.

Experience

9 yrs 7 mos

Total Experience

3 yrs 2 mos

Average Tenure

7 yrs 4 mos

Current Experience

Google

Software Engineer

Feb 2019 – Present · 7 yrs 4 mos · Mountain View

Designed, owned and implemented streaming Movies and TV shows recommendations feature for Discover end to end including integration with backend/frontend, analysis, quality tuning and experimentation
Designed and Implemented Tasks and Interests/Hobbies based recommendations for users on Discover
Analyzed user engagement data and identified/implemented several improvements to retrieval and ranking algorithms
Designed, owned and implemented personalized Shopping content recommendation system for Discover Feed, including retrieval corpus, personalized ranking and diversity

C++PythonJavaHTMLSoftware EngineeringMachine Learning

Microsoft

Software Engineer

Jan 2017 – Jan 2019 · 2 yrs · Bellevue

Helped improve email search suggestion relevance - Email recall, High Confidence autocomplete, Cross group ranking etc.
Owned Search experimentation scorecards - Improved coverage, relability and stability with new metrics, improvements and investigations
As part of On-call Rotation, helped in live site monitoring of product through mitigation steps, engaging partner teams
Maintained and Improved Data Mining pipeline including partnering with client teams to ensure data quality and standards

Data MiningSearch AlgorithmsEmail SearchSearch EngineeringData Analysis

Apple

Software Engineering Intern, iOS Power Analytics Team

Jun 2016 – Sep 2016 · 3 mos · Cupertino, CA

Ibm research delhi

Research Intern

May 2014 – Jul 2014 · 2 mos · New Delhi

Designed algorithm to match Job descriptions to nodes in social networks by computing matching
scores and social connectivity.
Developed Graph visualization, API services and sensitivity analysis for Business unit
Formulated efficient iterative algorithm to rank in uential nodes in a network to maximize reach to
wanted nodes while minimizing reach to unwanted nodes and performed on Wikipedia networks
Deployed sub-modular functions on top to fulfill different specific requirements (budget, strength etc.)

Algorithm DesignGraph VisualizationData ScienceAlgorithm Development

Wipro

Intern

May 2013 – Jun 2013 · 1 mo · Bangalore, India

Implemented efficient Face Detection method for Social media using Eclipse IDE and OpenCV
Devised facial features extraction, gender recognition and age detection via machine learning techniques

Machine LearningOpenCVComputer VisionSoftware Development