# Majeed Thaika

> Sr. Software Engineer at Nash

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/majeed

## Work Experience
### Software Engineer @ Nash
Jan 2022 – Present | San Francisco Bay Area

### Staff Engineer @ Primer.ai
Jan 2022 – Jan 2022 | San Francisco Bay Area

### Senior Product Engineer @ Primer.ai
Jan 2021 – Jan 2022 | San Francisco Bay Area

### AI Product Engineer II @ Primer.ai
Jan 2020 – Jan 2021 | San Francisco Bay Area

### AI Product Engineer I @ Primer.ai
Jan 2019 – Jan 2020 | San Francisco, California

### Software Engineer @ Cardiogram
Jan 2018 – Jan 2018 | San Francisco Bay Area
· Integrated Garmin watches into Cardiogram which increased active Android users by 70%
· Implemented frontend onboarding flow using React Native and backend API calls, including OAuth flow and getting wearables data, using ExpressJS and NodeJS

· Cardiogram, a health-tech AI startup, is investigating methods of detecting abnormal heart rhythms using off-the-shelf consumer smartwatches with heart rate sensors (like the Apple Watch)

### AI Researcher @ TOYOTA TSUSHO NEXTY ELECTRONICS (THAILAND) CO.,LTD
Jan 2016 – Jan 2017 | Bangkok Metropolitan Area, Thailand
Traffic Incident Detection
· Built Python-based models to detect traffic-based incidents using unsupervised learning techniques, specifically anomaly detection, on GPS data from multiple vehicular sources

Parking Location Detection
· Devised and implemented a clustering-based approach to detect and monitor resulting parking locations using GPS data from stationary or near-stationary taxicabs

### Software Engineer @ dtac
Jan 2016 – Jan 2016 | Bangkok Metropolitan Area, Thailand
· Developed an Android application for SIM card retailers to optimize and automate transactions with customers, which was previously done through paperwork
· Implemented front-end using Java, with Dagger2 dependency injector and Reactive extensions, and back-end REST API using Kotlin with SpringBoot dependency injector

### Research Assistant @ Mahidol University International College
Jan 2016 – Jan 2016 | Nakhon Phanom, Thailand
· Applied machine learning techniques (unsupervised learning) on network-based intrusion detection systems and Thailand GPS data for anomaly detection.


## Education
### Master of Science - MS in Computer Science
Carnegie Mellon University

### Bachelor’s Degree in Computer Science
Mahidol University


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

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