Rachit Mahendra

Software Engineer

Palo Alto, California, United States10 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building microservices and optimizing performance.
Developed innovative algorithms for collision-avoidance systems.
Strong background in machine learning and natural language processing.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and algorithm development.

Contact

rachit.mahendra2000@gmail.com LinkedIn

Skills

Core Skills

JavaC++MicroservicesPythonAlgorithm DevelopmentMachine LearningAndroid Development

Other Skills

AndroidApp Store OptimizationCSSClojureData StructuresEvents CoordinationFunctional ProgrammingGitGithubHTMLLeadershipMaps APIsMavenMessaging QueuesMicrosoft Excel

Experience

10 yrs

Total Experience

2 yrs

Average Tenure

5 yrs 1 mo

Current Experience

Snap inc.

Software Engineer

May 2021 – Present · 5 yrs 1 mo · Palo Alto, California, United States

Working in the Ads Delivery Infrastructure team with a focus on ads inference.

JavaC++PythonData StructuresGit

Bloomberg lp

Software Development Engineer

Jun 2018 – May 2021 · 2 yrs 11 mos · Greater New York City Area

Worked in Distributed Engines team under Equity organization to build exciting features for the Bloomberg Terminal backend.
Built a microservice from scratch to serve Equity data and optimized it for large data request loads and lower latency.
Designed and built a pipeline leveraging messaging queues to process real-time diffs for A/B testing to aid in backend migration.
Constructed a POC for an end to end real-time in-memory cache framework for frequently used Equity data fields.
Integrated various new features for enhancing the existing capabilities of several microservices.

C++MicroservicesMessaging QueuesReal-time ProcessingPythonMySQL

Microsoft

Software Engineering Intern

May 2017 – Aug 2017 · 3 mos · Greater Seattle Area

Worked on Bing , AI & Research in local data platform , to improve local search experience using Machine learning and Natural Language Processing.

Machine LearningNatural Language Processing

University of minnesota-twin cities

Undergraduate Research Assistant

Nov 2016 – May 2018 · 1 yr 6 mos · Greater Minneapolis-St. Paul Area

Worked under Professor Rajesh Rajamani, in Center for Transportation Studies, to develop an algorithm and build a mobile app, using various maps apis to efficiently determine the nearest intersection point on the road for the Novel Collision-Avoidance System for Bicycles.

Algorithm DevelopmentMobile App DevelopmentMaps APIs