# Vikram T.

> Building Something Interesting

Location: San Francisco, California, United States
Profile: https://flows.cv/vikramt

Current Areas of Interest:

1. Abundance in Housing and Energy
   -> https://worksinprogress.co/issue/the-housing-theory-of-everything/
   -> How can we utilize new technology to help achieve abundance in both housing and energy both of which are essential for every part of the economy
2. The Attention Economy
   -> Large social media companies have mastered the science of attention and have been able to transform the conscious choice of consumption into a subconscious habit. 
   -> Clearly some people seek to reclaim the choice of consumption through the usage of apps such as one sec, Opal. Jomo, Foqos, Brick, Bloom, Unpluq, Blok
   -> Yet these apps don't go far enough, is there a way we could require an intention to every phone pick up?

## Work Experience
### Software Engineer 2 @ Invisible AI
Jan 2023 – Jan 2025 | San Francisco Bay Area

### Software Engineer @ Nuro
Jan 2022 – Jan 2022 | San Francisco Bay Area
• Redesigned C++ calibration parameter infrastructure to a more hierarchical structure reducing duplicated code by over 60%                                           
• Integrated a new proto message format for the calibration params reducing the size of these messages by over 40%. 
• Implemented 12 sensors in the new calibration parameter format including: lidar, radar, camera, and IMU sensors.

### Software Engineer Intern @ MongoDB
Jan 2021 – Jan 2021 | New York, New York, United States
• Reduced support time for customer issues on Atlas by 10% by creating new admin features using Java
• Increased observability of the Atlas System by 10% by adding Prometheus metrics and Grafana dashboards
• Created new admin routines that solved pending Index HELP tickets 50% faster than previous methods
• Implemented extensive unit and integration tests using Java Mockito

### Software Engineer Intern @ Beingo
Jan 2020 – Jan 2020
• Implemented a link shortener service that reduced link length by 65% allowing for easy sharing across social media
• Designed and developed a web scraper that automatically creates a chatbot decreasing deploy time by 20%.
• Engineered and deployed a public REST API for the web scraper utilizing Amazon LightSail, Nginx, and Flask

### PREP Intern @ National Institute of Standards and Technology (NIST)
Jan 2019 – Jan 2019 | Greater Denver Area
• Redesigned a REST API for IoT devices to publish information to external mapping system using Flask, HTML, and CSS.
• Restructured rigid SQL database to MongoDB database decreasing time taken to add new devices by almost 100%.
• Enabled the project to use horizontal scaling infrastructure instead of more expensive vertical scaling using MongoDB.
• Decreased setup time by 95% and added scalability features using Docker containerization and bash scripts.
• Documented design decisions and quick setup instructions on previously undocumented code for quick setup time.


## Education
### Bachelor of Science - BS in Computer Science
Georgia Institute of Technology

### Bachelor of Applied Science - BASc in Computer Science
University of Colorado Boulder College of Engineering & Applied Science


## Contact & Social
- LinkedIn: https://linkedin.com/in/vikram-t

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Source: https://flows.cv/vikramt
JSON Resume: https://flows.cv/vikramt/resume.json
Last updated: 2026-03-29