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Professional Experience

My career journey in software engineering, machine learning, and distributed systems.

Software Development Engineer - Infrastructure R&D (Cloud Platform)

Jun 2023 - Present1 yr 10 mos

Palo Alto, CA

• Led frontend development and contributed to the Tesla Private Cloud platform, significantly reducing the company's cloud expenditure by transitioning the cloud footprint in-house, in deploying hardware on the order of $5B.

• The platform played a crucial role in controlling the company's cloud spend, reducing reliance on external cloud vendors like AWS and Azure, and saving hundreds of millions of dollars.

• Developed multiple web applications using NextJS to enhance developer experience and speed up onboarding for new developers.

• Worked extensively on backend development using Golang, creating and designing web APIs in a microservice architecture.

• Created an admin-only dashboard for core services within a week using NextJS and React, with beta testing initiated within two weeks.

• Utilized various technologies across service verticals, such as Clickhouse for the monitoring stack database and Prometheus for alerts and monitoring.

• Implemented comprehensive documentation services to streamline code use-case documentation and iteration for developers using MDX and Nextra.

• Mentored and converted interns into full-time positions, demonstrating leadership and fostering talent development.

Key Achievements

Spearheaded frontend initiatives using NextJS and server-side rendering, leveraging the latest patterns and conventions to improve the overall developer experience.
Achieved substantial cost savings by transitioning cloud services in-house, resulting in hundreds of millions of dollars in reduced external cloud vendor bills.

Core Infrastructure Software Engineering Intern

Tesla

Oct 2021 - Sep 202211 mos

Fremont, CA (Remote)

• Added GitHub Support to existing Python monolith of a devops-bot, while also refactoring and simplifying the code, and wrote documentation with visualizations.

• Developed permission management and access request automation scripts using Python.

• Performed alternative market analysis for software tools and performed internal surveys and beta-testing for prospective software tooling to improve existing workflows.

• Created a licensing report generator for GHE Admins to support clustered instances, and aggregate the correct licensing figures across various instances for the report.

• Developed a GitHub user cleanup tool in Python to suspend inactive AD users, a global team management tool using Python.

• Created a GitHub organization tracker and a GitHub-JIRA PR linker using NodeJS and Docker.

• Wrote disaster recovery testing scripts for various engineering applications, using Bash, Docker, Selenium, and Python.

• Built a Web-App using the T3 stack, within a week for an internal engineering-apps Documentation portal and which was later released in two weeks.

• Worked on features for a large scale internal web app project with a Django + React TypeScript stack, and specifically implemented Frontend designs using the TDS and Tailwind.

Key Achievements

Reduced overall human involvement in processing access requests for internal engineering tools by automating the process using modular approach in python along with Jenkins.
Helped improve reporting mechanisms for tool monitoring jobs using bash and python, to improve the fault detection/retention in worst-case scenarios

Backend Software Engineer and QA Systems Manager

IBM

May 2019 - Aug 20201 yr 3 mos

Markham, ON

• Revived and revamped the QA infrastructure, both software and hardware, for the DB2 install team.

• Authored the automation scripts to speed up deployment of new hardware in various environments using Python, POSIX bash, and Playbook by Ansible.

• Wrote a validation failure classifier and tracker from the ground up, to automate and speed up the failure investigation process using fastText and other in-house text classification techniques, all backed by a Django back-end.

• Started a side-project on synthesizing audio books by splicing the input text in the right way so the TTS engine creates a flowing audio book. Actively looking for solutions to the problem of pronunciation of names for a better audio book experience

• Designed and proposed a transformer-based documentation generator to resolve simple customer issues quicker.

Key Achievements

Software Automation
Failure Classification and Tracking
Better Audiobook Synthesis

Education

Bachelor's of Engineering

Software Engineering

2017-09-01 - 2023-05-01

McMaster University

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