Harsh Bardhan Mishra

What am I upto?


I'm a Software engineer with experience in Web engineering, DevOps, Python, and cloud engineering. My experience revolves around building full-stack services, DevOps pipelines, Python libraries, cloud infrastructure with a special interest in scripting and automation.

My career focus is on building scalable, high-performance, and reliable services, and I am looking for an entry-level position around the same. I'm always open to new opportunities and am always looking to learn more.

Areas of Expertise

LanguagesFrameworks/ Platforms/ Libraries
Python 3.x, JavaScript,Flask, Express, Django
HTML5, CSS3, GolangNode.js, React.js, Jest
C++, SQLTensorflow, Scikit-Learn, Keras
Tailwind CSS, Bulma CSS
Amplify, Docker, MySQL, MongoDB, GitHub Actions, Selenium, Neo4j
Amazon Web Services, Google Cloud Platform, OpenShift, Heroku
Version ControlForeign Languages
Git (GitHub, Gitlab)English, German

Work Experience

Software Engineer - Quansight Labs

Remote, July 2021 - Present

Working with the Quansight Labs, the open-source research division of Quansight, on re-engineering continuous integration pipelines for Scipy, open-source software for mathematics, science, and engineering.

  • Revamped the continuous integration pipelines for Scipy using GitHub Actions using Meson build system.
  • Implemented build caching and compiler caching using Ccache to reduce the CI build time by 70%.
  • Collaborated with senior engineers to migrate Scipy’s build system to Meson and parallelizing CI providers.
  • Refactored continuous integration scripts for local workflow runs using GitHub Actions and Act, thus ensuring local reproduction.
  • Shaved off 30% of the build time off the continuous integration pipeline for the macOS test for Scipy using GitHub Actions.
  • Implemented benchmarking on the continuous integration pipeline for Scipy using Airspeed Velcity & GitHub Actions.

Technology Stack: GitHub Actions, Act, Python, Meson, Scipy, Ccache, YAML, asv

Technical Writer & Developer -Google Season of Docs (moja global)

Remote, April 2021 - November 2021 (8 Months)

Working with the moja global's Technical Steering Committee to audit, prepare and develop technical documentation, tutorials, and case studies under the mentorship of Sabita Rao and Sagar Utekar. Google Season of Docs provides an opportunity for technical writers across the world to contribute to open-source software.

  • Collaborated with the Technical Steering Committee to spearhead a Documentation working group of 140+ volunteers to contribute to moja global's open-sourced documentation.
  • Prepared a detailed analysis and documentation for the data preparation tools used to implement the GCBM in Chile, developed in-house at moja global.
  • Developed moja global's documentation style guide and content strategy for the overall content and brand revamp.
  • Refactored contributing and governance documentation at moja global for seamless navigation and understanding.
  • Built continuous integration pipelines for various moja global projects to improvise build testing for better contributions.
  • Writing developer documentation for understanding module development using FLINT at moja global by collaborating with GSoD volunteers.
  • Contributed to various projects under the moja global umbrella: FLINT.Cloud, FLINT UI, FLINT JSON Editor, and more.
  • Mentoring, assisting, and guiding fellow contributors under the moja global umbrella; Led a 400+% growth in the community size over six months.

Technology Stack: Markdown, C++, Git, Sphinx, React, Docusaurus, Markdown, R, GitHub Actions

Student Developer - Google Summer of Code (MetaCall)

Remote, May 2021 - August 2021 (4 months)

Worked with MetaCall, to develop a Polyglot Jupyter kernel using the IPython machinery for the MetaCall Core library under the mentorship of Gil Arasa Verge. Google Summer of Code is a global program focused on bringing more student developers into open source software development.

  • Developed the initial product centered around bringing an IPython kernel for inter-language function calls.
  • Built and integrated a Polyglot REPL using NodeJS & MetaCall Core to the IPython kernel.
  • Implemented and improved user-experience features centered around using the kernel with the Jupyter client.
  • Implemented CI/CD using GitHub actions and set up container-based deployment using Docker on Binder.
  • Delivered a full-fledged documentation website for the MetaCall Jupyter Kernel using Sphinx and ReadTheDocs.

Technology Stack: IPython, Jupyter Notebook, Python, GitHub Actions, NodeJS, Sphinx

Product Documentation Intern - Red Hat

Bengaluru (India), January 2021 - June 2021 (6 months)

Worked with the Customer Content Services (CCS) Team, responsible for developing the OpenShift and DevTools Documentation while troubleshooting bugs, fixing and improving content quality.

  • Authored flexible and modular documentation for OpenShift, an enterprise-grade container platform, and Red Hat developer tool-sets.
  • Followed agile methodology of Documentation Development for regular User-Centric Updates.
  • Delivered release notes for the OpenShift Container Platform 4.6, 4.7 & 4.8 for Web Console Bug Fixes.
  • Delivered documentation for creating sample applications through the OpenShift Web Console.
  • Delivered documentation for Red Hat Certification's chart verifier tool to allow Red Hat partners to certify their Helm Charts on the OpenShift console.
  • Delivered documentation for securing webhooks with EventListeners in OpenShift pipelines.
  • Documented the ability to filter by the certification level of the Helm Chart on OpenShift.
  • Collaborated with the OpenShift DevTools team on a GitHub Issue/Pull Request dashboard for tracking development across OpenShift.

Technology Stack: Asciidoctor, Git, OpenShift, Linux (RHEL), Golang, Docker

Developer Outreach - DeepSource

Remote, November 2020 - May 2021 (5 months)

Worked with the Developer Outreach team to promote DeepSource, an automatic static code analysis that helps identify issues, bug risks, anti-patterns, performance issues, and security flaws on every commit and pull request.

  • Reviewed issues, bugs, and anti-patterns as part of the Developer Outreach efforts.
  • Pitched in and assisted with the DeepSource integration as a static code analysis tool with various popular open-source projects.
  • Developed technical content in and around static code analysis with Python and JavaScript.
  • Developed a user guide for integrating Code Transformers with the DeepSource configuration.
  • Develop the Developer Outreach Handbook to coordinate efforts within the Developer Outreach Team.
  • Fixing bugs on the DeepSource Documentation.

Software Engineer - Qxf2

Bengaluru (India), July 2020 - October 2020 (4 months)

Worked on developing an Internal Survey Application to track the Company Culture and the Innovation drive and migrating the technology stack from HTML, CSS, Bootstrap, Flask, and Quilt.

  • Developed reusable React components, using React Bootstrap, supporting admin dashboard, user dashboard, landing page, registration, and feedback forms.
  • Developing server-side code with FastAPI and Uvicorn, with efforts being made to minimize server latency.
  • Migrated the Database Storage of the application from Quilt to Neo4j using a Python Pandas Script.
  • Deployed the Internal Survey Application on an AWS EC2 Instance using an Ubuntu AMI, with GitHub Actions for CI/CD pipelines.
  • Wrote Automation Tests for the Weather Shopper application using Selenium and the Page Object Model Framework.
  • Collate Python exercises to use with future Qxf2 interns.

Technology Stack: ReactJS, React Bootstrap, React Context API, FastAPI, Neo4j, Page Object Model, Selenium, AWS EC2, Docker, Git

Side Projects

  • WebEdge: Python Command Line Interface tool to provide an SEO package for websites and webpages to optimize their accessibility.
  • WebFlux: Software-as-a-Service built using NextJS, Flask and ChakraUI to provide a user-interface for developers to optimize their webpages and websites.
  • Helping Hand: Flutter-based Mobile Application to allow visually impaired people to navigate using Deep Learning models.
  • Malarial Detection: Flask-based Web Application to allow the detection of malarial cells using Deep Learning models.
  • Polyglot Kernel: IPython wrapper kernel around MetaCall Core to allow cross-language function calls on a Jupyter interface.


Sathyabama Institute of Science and Technology August 2018 - July 2022

  • Major: Computer Science and Engineering
  • CGPA: 8.79/10


  • Winner of Capgemini Codealore Hackathon 2021.
  • Winner of MLH Fellowship Sprint 0 "Open Innovation" Hackathon.
  • Winner of MLH Fellowship Sprint 4 "Developer Tools & Productivity" Hackathon.
  • Winner of Machine Learning Hackathon organized by School of Computing and Information Technology department.
  • Winner of Competitive Coding competition organized by School of Computing and Computer Science department.
  • First Runner-up at Hack4Good 2019 Hackathon organized by DSC-SIST and School of Computing.
  • First Runner-Up at Hack Infinity 2.0 2020 Hackathon organized by DA-IICT Center for Entrepreneurship and Incubation.
  • Second Runner-Up at Project Expo organized by Ministry of Human Resource Development and Innovation Cell.
  • Microsoft Student Partner 2020.
  • Microsoft Learn Student Ambassador 2020.
  • Silver Medallist at TATA Essay Competition.

Last updated on September 2021.

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