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Aatish Nayak

Aatish Nayak
Los Angeles, CA
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aatishn.com
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aatishnayak1a@gmail.com
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8487021830
Engineering. Hustling. And loving cliches. Interested in the next urban mobility revolution (think electrification, on-demand economies, and autonomous vehicles), moving existing offline transactions to a millennial friendly, app-centric experience (buying cars, homes, insurance, etc), and creative tech driven social experiences (think Snapchat + Meetup)
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Work Experience

Skurt

Software Engineer
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Jan 2017 - Current

Rental Cars, Delivered On-Demand

  • Planned, scoped, and engineered the implementation of GPS devices in cars to track location and gather telematics data via live ops dashboards
  • Designed a general purpose pipeline to gather engagement metrics for Skurt Drivers for reward and incentive programs
  • Revamped Customer Support processes by streamlining handling of customer issues via a custom phone line solution built with Twilio Voice
  • Used Checkr, CBC, and TLO APIs to gather data to train a Logistic Regression model to determine the riskiness of renters

Uber

Software Engineering Intern, Growth
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May 2016 - Aug 2016
  • Worked on the Emerging Markets Growth team improving cash payments to increase rider retention and engagement in India, SEA, and LatAm
  • Designed and engineered the creation of a more cohesive receipt experience for cash payments released to ~40+ cities and ~700k DAU
  • Contributed to Node, Python, and Go microservices while optimizing indexes on the in-house Postgres + NoSQL hybrid database

Autolab

Project Lead
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Sep 2015 - Apr 2017
  • Led a team of students working on a platform for autograding and managing programming homework assignments.
  • Decide on product goals and technical architecture affecting over 4,000 students at CMU with expansion trials in University of Washington, VCU, Rutgers University, PKU, Cornell University, among many others.
  • Presented at SIGCSE on improving Computer Science Education through autograding technologies

Education

Carnegie Mellon University

Bachelor of Science Electrical and Computer Engineering, Minor in Computer Science
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Aug 2013 - May 2017

Coursework: Operating System Design and Implementation

, Embedded Real-Time Systems

, Parallel and Sequential Data Structures and Algorithms

, Computer Systems

, How People Work (HCI)

Projects

Pebbles Kernel, Carnegie Mellon

Co-Technical Lead
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Jan 2016 - May 2016

Architected and wrote a Unix based operating system to run on x86 hardware. Custom implemented virtual memory, a physical frame manager, a round-robin scheduler, context switching, and a user-level thread library. Successfully runs a zsh shell and mimics a file system to launch user level programs.

Skills

  • Python (Flask, Django, Tornado)
  • Javascript (React, Node)
  • Ruby on Rails
  • Docker
  • Java
  • MongoDB, Redis, Elasticsearch