Akanksha Tyagi

Software Engineer

Get in touch: akankshatyagi18@gmail.com


Hi there! Welcome to my personal website. I am currently working as a Software Engineer in Customer Information Systems Team at Wayfair. Before joining Wayfair, I interned as Software Engineer Intern at two amazing companies - Intel (Fall 2018), GoLinks (Summer 2018). Both these internships have taught me a lot and motivated me to continue exploring the field of CS. I have also worked on projects based on Web Technologies, Deep Learning, Operating System.



Software Engineer
Wayfair, Massachusetts
February 2019 - Present
  • Building a data management platform in Java that provides data points to various teams
  • Developing endpoints in Python for users to fetch the customer data for further analysis
Software Engineer Intern
Intel Corporation, California
October - December 2018
  • Designed and developed an application in C++ to benchmark the performance of MKL-DNN library on different CPU Architectures
  • Created an application in C# for detection of intruders using Windows Machine Learning API



  • ReactJS
  • Python
  • Java
  • C++
  • PHP
  • SQL
  • C


  • Windows
  • MacOS
  • Unix


  • Visual Studio
  • Aerospike
  • Vertica
  • Eclipse
  • MySQL
  • Jira
  • Git


Master's in Computer Science

University of Southern California
Jan 2017 - Dec 2018

Bachelor's in Computer Science

University of Pune
Aug 2010 - May 2014

DR Web Portal

  • Designed and developed a web portal for Directed Research Course (CSCI 590) at USC to allow clients, coordinators, students communicate with each other.
  • It allows students to look at list of projects offered by clients and coordinators and apply to the ones that interests them.
  • Students can edit their profile to showcase their skills and upload resume.
  • Clients / Coordinators can review students' profiles and send out offer letters to them.
  • Coordinators can add / delete students from class.
  • PHP
Code on Github Close Project

Travel and Entertainment

  • Built a web application that enables users to search for nearby places around their current location or any other specified location
  • Provided feature to bookmark any result and view it at later time
  • Added feature to view directions walking / driving / cycling directions to the location
  • Used Google API and Yelp API to provide photos and reviews of the place
  • Hosted the application on Google Cloud
  • NodeJS
Code on Github Close Project

Multi View Image Generation

  • Generated synthetic 2D images of an object in a target viewpoint from single input image using deep learning models
  • Built three deep learning models
    • Autoencoder
    • Autoencoder with Pose information
    • Autoencoder with adversarial training
  • Tested above models on ShapeNet Dataset (mug, car, chair)
  • Python
Code on Github Close Project

Image Classification

  • Designed a Convolutional Neural Network model to classify images present in CIFAR-10 dataset
  • Experimented with various machine learning techniques to improve accuracy of the model
  • Achieved an accuracy of 70% with the help of Batch Normalization and SoftMax Cross Entropy Loss
  • Python
Code on Github Close Project

Weenix OS

  • Implemented processes, threads along with synchronization primitives for Weenix in C
  • Implemented virtual file system and virtual memory system
  • C
Close Project