Siddharth Singhal

● I completed my Bachelor's Degree in Computer Engineering from Delhi Technological University (Formerly Delhi College of Engineering) with an aggregate GPA of 9.42.
● I am avid for Data Science, Machine Learning and Deep
Learning. I also have experience working with various Backend and Frontend frameworks.
● Currently working as an engineer at Goldman Sachs. I have interned at Tower Research Capital, BlueStacks, and Coding Blocks as a Software Engineering intern.
● I have also worked on various research projects under the able guidance of professors from IIT Delhi and IIIT Delhi in the field of Data Science and Deep Learning. Our research has been published in some prestigious journals and conferences.
● Also participated in and won hackathons organized by various organizations. We secured second place in the Smart India Hackathon organized by MHRD. We won MSHACK hosted by Microsoft. I have also participated in a variety of other hackathons organized by GE Healthcare, Coding Blocks, and more.

Projects

Samaritan

A Distributed Model Training and Monetization Utility A system that accepts complete Docker Image or model specifications from users and concurrently trains models on idle Android devices and PCs.Flask

Skills

React

Django

C++

PyTorch

Kubernetes

Experience

Goldman Sachs - Software Engineer
- Implementing usage of Spring and React to create client facing applications.
Tower Research Capital - Core Engineering Intern
May 2019 - August 2019
● Developed an automated system and backend REST APIs for recording and retrieving bugs and fixes introduced in commits using the tags for affected binaries
● Worked on an NLP based system for displaying similar issues and suggesting resolution based on the description provided in IPM tickets
● Worked on various methods of price discovery of securities
BlueStacks - SDE Intern
May 2017 - August 2017
● Worked on a Project for Facebook Ad Automation using Facebook Graph and Marketing API for various countries
● Learned and implemented the usage of Google App Engine and Google Bigquery for fetching results and further analysis