Lalit Kapoor

Lalit Kapoor Email and Phone Number

Engineering @ Notion
Lalit Kapoor's Location
New York City Metropolitan Area, United States, United States
About Lalit Kapoor

I love building engineering teams and great cultures.

Lalit Kapoor's Current Company Details
Notion

Notion

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Engineering
Lalit Kapoor Work Experience Details
  • Notion
    Software Engineer
    Notion Aug 2024 - Present
    San Francisco, California, Us
  • Withco
    Advisor
    Withco Jul 2021 - Present
    New York, Ny, Us
  • Withco
    Head Of Product
    Withco May 2022 - Feb 2023
    New York, Ny, Us
    I started out as an advisor to the company and was brought on to lead product. Over time I also managed leadership across engineering, investments, operations, and finance. I unfortunately needed to leave due to severe medical issues in the family.
  • Relay Payments
    Vp Of Engineering
    Relay Payments Mar 2021 - Mar 2022
    Atlanta, Georgia, Us
  • Medium
    Director Of Engineering
    Medium Nov 2018 - Mar 2021
    San Francisco, California, Us
    Engineering Site Lead for NYC. Led engineering for the creator teams, payment team, martech team, new editor team, and Embedly (acquired)
  • Vts
    Advisor
    Vts Nov 2018 - Jan 2021
    New York, Ny, Us
  • Vts
    Director Of Engineering
    Vts Oct 2015 - Nov 2018
    New York, Ny, Us
    - Led engineering for the broker experience teams, international expansion team, data product / business intelligence team- Scaled eng from 15 to 65 over 18 months- Fortunate to work with many of the same folks again on my next adventures
  • Reonomy, An Altus Group Business
    Principal Engineer
    Reonomy, An Altus Group Business Dec 2014 - Aug 2015
    New York, Us
  • Reonomy, An Altus Group Business
    Senior Software Engineer
    Reonomy, An Altus Group Business Jul 2014 - Dec 2014
    New York, Us
    Data engineering and api development. Led the initiatives for tax data extraction, the financials estimation system, entity clustering and fuzzy matching services.
  • Goodybag, Inc
    Cto
    Goodybag, Inc Jan 2011 - Mar 2014
    Austin, Tx, Us
    goodybag.com is used by administrative professionals to order food from local restaurants for team lunches, company meetings, and events. Like Uber Eats, but for corporate customers.- Built, mentored, and grew the engineering team- Implemented engineering hiring processes - interviewed hundreds of candidates around the country, hired 10+ amazing engineers- Implemented cross-functional teams (product, eng, design, sales/marketing)- Implemented a Kanban style process for getting work done and shipping multiple times a day- Managed engineering backlog, ran standups, one-on-ones, retros- Promoted open sourcing our technologies and community outreach- Laid down our testing and continuous integration infrastructure- Built the foundation for a B2B marketplace that can do same day payouts to suppliers and is resilient to system failures- Built an order process management system that automatically communicates via email, sms, phone with the consumer and the supplier (in this case the restaurant) to negotiate an order and determine its status- Built a robust web-based menu editing system capable of representing highly varying differences in restaurant menusTechnologies: node.js, PostgreSQL, and backbone.js. Integrated payments with Balanced Payments, restaurant communication with Twilio, and job queues with iron.io. Deployments to heroku and AWS.Prior to online catering, Goodybag was providing a digital loyalty program to brick and mortar businesses. We deployed over 400 highly customized Android tablets to businesses in Austin, TX. We utilized NFC to keep track of customer loyalty and built an iOS app for our customers who could use a QR code instead.
  • Rally Health
    Director Of Analytics
    Rally Health Oct 2010 - Jan 2011
    Washington, D.C., Us
    Rally Health (Acquired by Optum, FKA Audax Health) helped empower individuals to live healthier lives by providing them with a social network and tools to be proactive and engage in their health.Worked on various web products and modeled data infrastructure for HIPAA compliance. Build the article recommendation system. Lead the team to build our search capabilities. Hired data scientists and engineers.
  • Booz Allen Hamilton
    Senior Consultant
    Booz Allen Hamilton Sep 2008 - Oct 2010
    Mclean, Va, Us
    Fuzzy TableWorked with a team of 6 engineers to build a distributed low latency database for fuzzy matching. Built using HDFS for data storage, Hadoop for batch processing, Avro for network communication and data serialization, and Mahout for performing distributed data cleansing, clustering, and classification. My focus was on data clustering and classification. The framework has multiple uses, biometric use cases presented at Yahoo’s Hadoop Summit 2010 and Cloudera’s Hadoop World 2010. http://www.slideshare.net/cloudera/fuzzy-table-finalNMCDS (NTOC/NSA)Built applications to analyze large sets of network traffic data collected by the Network Threat Operations Center. Worked on interesting research problems regarding visualization of data to do analytics and reveal interesting information. Used space filling curves to display data and locate sensitive networks within the United States and around the world. Used Hadoop and Accumulo to store and analyze large amounts of traceroute data collected by sensors around the world via CAIDA datasets. Presented on the need for a Pregel like framework for processing large graphs.DSCDS (NSA)Worked with a team of 10 developers to build a secure system for receiving and analyzing files for possible threats via various protocols. Major focused was placed integrating different security practices such as digital signatures for xml and encryption for email into the Java software stack. Created web services using CXF. Developed applications to validate against different schema standards and XML transformations including Relax-NG, Schematron, and XSLT. Integrated these technologies into an Enterprise Service Bus.Protein Alignment (NIH)Worked with a team to parallelize the Smith-Waterman algorithm for protein alignment. Utilized Hadoop across more than 250 Amazon EC2 instances - http://blog.cloudera.com/blog/2009/11/hadoop-world-protein-alignment-from-paul-brown/
  • Idefine Inc
    Founder
    Idefine Inc 2004 - Aug 2010
  • Georgia Institute Of Technology Ibb
    Web Developer
    Georgia Institute Of Technology Ibb Aug 2006 - Aug 2008
    Atlanta, Georgia , Us
  • Crimson Lab
    Senior Software Engineer
    Crimson Lab Mar 2006 - 2007

Lalit Kapoor Skills

Distributed Systems Web Development Cloud Computing Hadoop Python Mongodb Machine Learning Software Engineering Java Analytics Web Applications Mahout Amazon Web Services Databases Nosql Amazon Ec2 Mobile Applications Django Rest Node.js Big Data Scalability Data Mining Software Development Open Source Google App Engine Mapreduce Nodejs Git Postgresql Web Design Agile Methodologies Performance Management Aws Amazon Web Services Ruby On Rails Software As A Service Javascript Sql Linux Management Leadership Technical Leadership

Lalit Kapoor Education Details

  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Computer Science
  • The Johns Hopkins University
    The Johns Hopkins University
    Computer Science

Frequently Asked Questions about Lalit Kapoor

What company does Lalit Kapoor work for?

Lalit Kapoor works for Notion

What is Lalit Kapoor's role at the current company?

Lalit Kapoor's current role is Engineering.

What is Lalit Kapoor's email address?

Lalit Kapoor's email address is la****@****ail.com

What is Lalit Kapoor's direct phone number?

Lalit Kapoor's direct phone number is +164686*****

What schools did Lalit Kapoor attend?

Lalit Kapoor attended Georgia Institute Of Technology, The Johns Hopkins University.

What are some of Lalit Kapoor's interests?

Lalit Kapoor has interest in Information Retrieval, See 1, Investing, See Less, Machine Learning, Knowledge Bases, Ontologies, Semantic Web, Chess, Data Mining.

What skills is Lalit Kapoor known for?

Lalit Kapoor has skills like Distributed Systems, Web Development, Cloud Computing, Hadoop, Python, Mongodb, Machine Learning, Software Engineering, Java, Analytics, Web Applications, Mahout.

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