Vikram Singh

Experience

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  Dell Technologies

  Jul 2005 - Aug 2007

  SW Engg

  - Worked on a web development project using Java,Struts,Hibernate,JBPM and SQL Server.

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  NetApp

  Sept 2007 - Jan 2014

  - Core member who developed Netapp's petabyte scale autosupport platform on Hadoop and related technologies ground up. - Scale of data processing was tens of terabytes per week.Scope of work included ingesting data, doing the ETL and loading into ODS and DSS databases. - Built REST api for supportability applications in company. - Technology stack primarily included Hdfs, Hive, Map Reduce, Hbase, Flume, Solr, Pentaho, Oracle db and Datameer. - Worked on enterprise web applications using Java,Spring, Angular, Lucene, Oracle.

  • MTS

    Jan 2011 - Jan 2014

  • MTS

    Sept 2007 - Dec 2010
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  Brave Bison

  Jan 2014 - Feb 2015

  Technical Lead

  - Scala based backend services - Built the AWS based big data platform for reporting, analytics (Batch and Stream)

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  Scienaptic AI

  Feb 2015 - Jan 2018

  Principal Engineer

  - Joined as First Full Time Engineer to non tech founders at very early stage. Helped build and scale the team to 16 engineers. Was able to attract and retain talents.- Conceived, conceptualized and built big data analytics platform ground up. This is a generic platform for multiple business domains. Platform is capable of executing both data engineering and/or data science workloads. Tech stack include Java/Scala, Spark, Hadoop, Hive, Orientdb, Elastic, MySql. Deployment model being on premise as well as on cloud.- Collaborated with product, sales and customers to help deploy platform to customers Show less

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  MakeMyTrip

  Mar 2018 - Nov 2020

  Associate Director

  - Set up ML engineering team and mentored them- Feature Store: Bedrock of data science team. Source of all training and prediction pipelines for the Data Science team.- Scalable and very extensible Rendezvous architecture implementation for MMT chatbot 'MYRA'- Data Catalog: Data Dictionary of company's all mysql, Hive tables and Kafka topics with search and crawler inbuilt.- Data Quality: Automated detection and notification in case of features going out of bound. Heuristic and statistical checks. - Experimentation Framework: Measure the effectiveness of models in production with different metrics and business reporting.- Customer analysis and modelling for the Fintech vertical.- Backend architecture for MMT Fintech vertical. Show less

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  LinkedIn

  Feb 2021 - Nov 2023

  Engineering Manager

  - Drove MLOPs charter (Health Assurance team) for Linkedin's AI org from Bangalore- Hired, coached and grew the team. Collaborated with cross functional and cross geography partner and customer teams to create roadmap, new projects and managed execution- Delivered impact through multiple org level initiatives