Software Engineer at Google
New York, New York, United States
Software Engineer
Greater New York City Area
Software Engineer
September 2017 to September 2019
Menlo Park, California
Software Engineer
August 2017 to September 2019
Menlo Park, California
Epic
Software Developer
October 2016 to July 2017
Madison, Wisconsin Area
Flipkart
Software Developer
July 2015 to October 2016
Bengaluru Area, India
Cube26
Machine Learning Intern
December 2014 to April 2015
Hauz Khas, New Delhi
Amazon
Software Developer Intern
June 2014 to July 2014
Bengaluru Area, India
What company does Lakshya Budhiraja work for?
Lakshya Budhiraja works for Google
What is Lakshya Budhiraja's role at Google?
Lakshya Budhiraja is Software Engineer
What industry does Lakshya Budhiraja work in?
Lakshya Budhiraja works in the Computer Software industry.
Who are Lakshya Budhiraja's colleagues?
Lakshya Budhiraja's colleagues are Chase Brandon, Vera Kern, Elfred Pagan, Key Shin, Cat Audi, Jessie Mao, Chao Teng, lixin feng, Vithushan Nama, and Alan McConnell
đź“– Summary
Software Engineer @ Google Greater New York City AreaSoftware Engineer @ Instagram From September 2017 to September 2019 (2 years 1 month) Menlo Park, CaliforniaSoftware Engineer @ Facebook Working in the Instagram Connections Ranking team as an Infra Engineer. From August 2017 to September 2019 (2 years 2 months) Menlo Park, CaliforniaSoftware Developer @ Epic Worked on migrating various medical software modules from VB to a new tech stack consisting of HTML, CSS, JS and C#. From October 2016 to July 2017 (10 months) Madison, Wisconsin AreaSoftware Developer @ Flipkart • Optimized serving latency of home page recommendation widgets from 1s to 250ms giving 1% boost to business metrics. Also added support for “View All” API.• Designed and implemented product recommendations to be geo aware decreasing delivery costs by 1.5%.• Designed A/B Experimentation framework for recommendations team.• Identified optimizations in Hadoop job for user recommendation model generation decreasing execution time by 10%.• Used Collaborative Filtering to augment user recommendation model with related content resulting in 18x increase in servable recommendation widgets.• Scaled backend database; Architected common data ingestion pipeline; Designed DAL for ease of use; Profiled and tuned components involved (Kafka, Storm, Aerospike) for optimal performance. Was able to support 50K writes/s and 200K reads/sec with P99 of 6ms in one of the largest online sale events of the country.Worked on a tech stack consisting of Java, Linux, Spring, Hadoop, Storm, Kafka, Redis, Aerospike and HBase. From July 2015 to October 2016 (1 year 4 months) Bengaluru Area, IndiaMachine Learning Intern @ Cube26 Developed an in-house Recommender System incorporating techniques from both collaborative filtering and content-based recommendation algorithms (SVD with ALS, SVD++, TF-IDF, Words2Vec etc).Worked on a tech stack consisting of Hadoop, Python, GraphLabs, Mahout and AWS. From December 2014 to April 2015 (5 months) Hauz Khas, New DelhiSoftware Developer Intern @ Amazon Developed tool for Regression Testing in Java to measure client side latency during web page load, involving browser automation, generating HAR files, inserting metrics and analysis using performance optimization tools like Google PageSpeed. Worked on a tech stack consisting of Java, MySQL, JQuery, AJAX, Foundation 5, JSP and Selenium. From June 2014 to July 2014 (2 months) Bengaluru Area, India
Introversion (I), Sensing (S), Thinking (T), Perceiving (P)
1 year(s), 2 month(s)
Unlikely
Likely
There's 93% chance that Lakshya Budhiraja is seeking for new opportunities
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