About Me

I am curious, self-starting and a hard-working Software Engineer with a Masters in Electrical and Computer Engineering. I am at my best when dealing with truly hairy & complex problems, transforming ideas into products & collaborating with cross-functional teams. I enjoy working at companies whose products have the potential of changing people's lives for the better. When I am not engrossed in a coding challenge, I enjoy running Marathons, playing Piano, doing Salsa or watching Cricket.

  • Name:

    Dev Sanghvi
  • Phone:

    +1(607)-279-8942
  • E-mail:

    dys27@cornell.edu
  • Address:

    San Francisco, CA, USA
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Projects

  • All
  • Application Dev.
  • Web Dev.
  • Embedded Systems

Experience

Work Experience

Data Engineer - Spotify, Inc

Jun '23 - Dec '23

There is no potential for audience growth by only targeting the "Core" audience of an artist. Built Data Pipelines to introduce the functionality of new segments to target the potential audience leading to 1.6x audience growth

Reduced the storage and compute cost of Opt-outs data by more than 99% by eliminating the need to store opt-out Ids associated with campaign data by leveraging the concept of "Anti-Targeting" saving Spotify $42,000 per year

Successfully built Data Pipelines to further increase the audience growth by developing new segments to target other artist's audience. Predicted audience growth increase for Other Artist targeting is 2.1x

Implemented functionality to support rush campaigns reducing campaign modification errors by 90%

Software Engineer II - Teladoc Health, Inc

Mar '21 - Feb '23

Developed a claims management tool for the Billing processes which was initially being outsourced to a third party entity. The nextGen tool provides customized features for clients, submission of claims on member level, reduction of claim errors by 95%, reduced costs by $250,000 per year, logging, and dashboards for monitoring

Successfully implemented oneApp integration of Teladoc's primary 360 and chronic care division's data pipelines by consuming fusion API, transforming and improving the quality of the data, and making it data agnostic across different platforms

Worked on migrating the traditional billing to cloud billing which reduced operational dependency, minimized billing errors and with the integration of the direct billing API, it improved the member quality data for the express scripts clients

Automated deactivation of Teladoc members at scale (>10000) by using Scala concurrency and parallel processing which reduced the processing time from an Hour to few milliseconds

I am part of the Enterprise Team that looks into escalated bugs related to Billing and Eligibility

Software Engineer - Google, Inc via Adecco

Jul '20 - Mar '21

Building RPC and RESTful services for partner-only One Platform API which is used by Localization vendors to interact with internal Google systems when providing localization services for Google. Using Apps Framework (Java) to write modern Java Servers with Guice, and a "NewSQL" database (Spanner); using Protocol Buffers

Implemented log-based metrics for all the localization API calls to track latency and requested queries with error rates and types to help detect configuration issues

I am part of the L10N Team that looks into escalated bugs related to Localization Pipeline and L10N API

Technical Solutions Specialist - Google, Inc via Adecco

Oct '19 - June '20

Successfully transitioned Data Pipelines worth $240 million in advertisement revenue to its new owner. Managed a team of 20 Vendors and serviced needs of Stakeholders and 350 Clients

Localization team make content translation of Google products up to 107 languages. I led the effort to build features that streamlined the application to better serve the testing group processes. My responsibilities included designing the features, testing them, revamping the frontend and writing out the specifications

Successfully executed data migration to the content gap analysis tool Replayfull for top selling eBooks and AudioBooks from across 26 countries

Created a Quality Assurance Dashboard to automate the tracking of missing data for the scaled operations audit team thereby phasing out manual monitoring

Web Application Intern - Technical Consulting & Research, Inc

Dec '18 - Apr '19

Built a Flask-RESTful web service utilizing Twilio’s REST API that breaks PayPal system and gets the password pin of the user account

Performed Test Driven Development of ReactJS application using tools like Jest and Enzyme

Used CI/CD tools - Docker, Git, JIRA and Travis CI for configuration management and automation on AWS Elastic Beanstalk

Enhancing the security of the application by developing a new authentication mechanism that uses software tokens and game-like CAPTCHAs

Embedded Software Engineering Co-op - Iterate Labs

Jun '18 -Nov '18

Built a real-time data-flow system that leverages Snapcraft API to automate data transfer from Rigado Cascade IoT Gateway to AWS S3 Buckets

Improved motion capture capabilities for wearable technology and reduced the error rate from 11% to under 1.4% by implementing Sensor Fusion Algorithm

Maintained and evolved in class back-end infrastructure for the development environment. By using Redis cache, reduced the API response time by 75%

Contributed to website building for Iterate Labs to revamp their E-commerce platform

Developed project plans by using Pivotal Tracker and defined project goals and objectives, tasks, risks, and timelines for completion

Education

Cornell University, Masters in Electrical and Computer Engineering

Aug '17 - May '19

Algorithms, Data Structures, Embedded Operating System, Parallel Computing, Intermediate Design and Programming for the Web, Project Management

University of Mumbai, Bachelor of Engineering - Electronics and Telecommunication

Aug '12 - May '16

Object oriented Programming, Operating Systems, Computer Networks

My Skills

Python
90%
Java
70%
Spark
74%
Web Development
85%
SQL and NoSQL
90%
ATmega & ARM
78%
AWS
77%
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