Chirag Sachdeva

Hi my name is

Chirag Sachdeva

I'm a software engineer based in Pittsburgh, PA specializing in building software applications, user-centered websites, and data analysis.

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About Me



I'm Chirag, a software engineer based in Pittsburgh, PA. I enjoy building things that live on the internet, whether that be websites, applications, or anything in between. My goal is to always build products that provide pixel-perfect, performant experiences.
Presently, I am a graduate student at Carnegie Mellon University researching on distributed Search Engines.

My skills

Here are a few technologies I've been working with recently:

Java (Spring, JSP, Servlets, REST)




Python (Django, Data Science Libs)


JavaScript (React, Node.js, React Native)




Dart (Flutter)



May 2020 - September 2020

Institute For Software Research, CMU

Software Engineer - Intern
  • Developed a distributed web crawler for a Search Engine to analyze security protocol and SSL certificate information of websites; responsible for all phases (design, version control, coding, unit testing and production).
  • Crawled through 4.3 million URLs per day using multithreaded parallel breath search of domains/subdomains based on priority values.
  • Decreased latency time and improved data exchange rate between sockets by 4x utilizing encrypted serialized data objects in Java.
  • Built cloud infrastructure using AWS Elastic Beanstalk for storing, querying large data, and displaying results on a JSP web application.
August 2019 - April 2020

Carnegie Mellon University

Graduate Researcher, Software Engineer
  • Analyzed 1 million data points from 20+ ECLSS sensors to enable autonomous situational awareness for NASA Deep Space Habitats and simplified system operations by implementing APIs for monitoring different subsystems.
  • Enhanced system reliability and prognosis accuracy by 10% using Python scripts to clean data, perform clustering and regression.
  • Rewrote and maintained open source JupyterLab extension in Python, JavaScript on OpenChirp (CMU open source platform for IoT).
May 2017 - August 2017

Stanford University

Software Research Engineer
  • Designed and implemented fly-by-feel, a framework which leverages high-dimensionality and multimodality properties of sensor data to predict response of bio-inspired smart wing for autonomous vehicles under different flight conditions and loads.
  • Decreased memory usage by 40% by developing APIs for dynamic allotment of shared memory access key pertaining to flight states.


Get in touch

Email address
Pittsburgh, PA