Mayank Kataruka

Senior Software Engineer

Seattle, Washington, United States7 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Over five years of experience in Big Data and Machine Learning.
Increased forecasting accuracy by 20% through Neural Network deployment.
Designed scalable data ingestion solutions at Uber and Amazon.

Stackforce AI infers this person is a Big Data and Machine Learning Engineer with expertise in E-commerce and Telecommunications.

Contact

mayankknows@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData EngineeringCloud EngineeringSoftware DevelopmentDatabase Management

Other Skills

ASP.NETAWS EMRAlgorithmsAndroid DevelopmentC/C++Cloud Development KitData StructuresEclipseGDBGitHTMLJSPJavaLinuxModel Retraining

About

As a dedicated Software Engineer specializing in Big Data and Machine Learning, I bring over five years of comprehensive experience driving impactful projects at Uber and Amazon. My expertise lies in building efficient, scalable data ingestion and forecasting solutions that enhance platform reliability, performance, and cost-efficiency.

Experience

Uber

Senior Software Engineer, Data Platform

Sep 2022 – Present · 3 yrs 6 mos · Seattle, Washington, United States

Amazon

2 roles

Software Engineer, ML - Forecasting

Jun 2021 – Sep 2022 · 1 yr 3 mos · Seattle, Washington, United States

Forecasting team - forecast items to be sold in the future at physical stores like – wholefoods, ultra-fast fresh, amazon 4-star, bookstore etc.
Tech Stack - Spark, AWS EMR, Scala
Designed and setup the pipeline to launch forecasting for the whole new business - Amazon 4-Star store in Europe.
Deployed Neural Network model for Bookstore and Amazon 4-Star in North America, increasing the overall accuracy by 20%. Work involves - model retraining
with updated feature set, full year back-testing, generating accuracy results over all dimensions and launching in prod.
Designed and Implemented one stop solution in Scala for all on-call data issue using AWS EMR notebook reduced employee hours by 4/wk.
Designed and implemented cloud watch monitoring alarm for our forecasting service using cloud development kit

SparkAWS EMRScalaNeural NetworkCloud Development KitMachine Learning+1

Software Development Engineering Intern, ML Forecasting

May 2020 – Aug 2020 · 3 mos

Designed and Implemented Experiment Tracker to track machine learning experiment that recommends products to buy in the supply chain cycle.
Tracks and visualize jobs, metrics, parameters in SageMaker Studio, reducing manual employee hours by ~144 per year.

Ribbon communications

Software Engineer

Jul 2017 – Jul 2019 · 2 yrs · Bangaon Area, India

Software Engineer,
Ribbon Communications
SBC Product Dev Team
Application Development
► Working on SBC product and it’s customer issues involving call scenarios (calling route, redirect, forwarding, registration, surrogate registration, refer, subscribe, notify), Operating System and Database issues.
►Worked on various memory corruption (static, dynamic), memory leaks, bugs and load scenarios.
►Integrated ASAN tool with our codebases to find various memory corruptions.
►Build scripts that automates Coverity issues at each build releases and integrated that to build environment results of which will be mailed to the corresponding developer and its manager.
►Built serialization tool that encodes one version of structure into xdr format and decodes that to different version, this not only helped solve customer issues but also helped in OS upgrade and stateful call migration.
►VCS – git, Codebase – C/C++, Linux environment
Platform Development
►Worked on CentOs Migration feature, where I am helping team in Suse Linux to CentOs migration
►Owned the responsibility in application install and upgrade
►Postgres Database Migration from 9.2 to 9.6 to production with zero bugs.
►Handled migration of build environment for the SBC application.
►Involved in security hardening of the product.
►Removed all the application script dependencies to the OS.