# Charvi Gupta

> Torc Robotics | NYU Courant | BITS Pilani

Location: Sunnyvale, California, United States
Profile: https://flows.cv/charvigupta1

Interested in building Machine Learning powered applications

## Work Experience
### Software Engineer @ Torc Robotics
Jan 2024 – Present | Sunnyvale, California, United States
Data org at Torc Robotics (building self-driving autonomous trucks)

Building ETL data workflows across data selection, extraction and human labeling tasks to deliver high-quality datasets for analytics and ML

### Data Scientist Intern @ Torc Robotics
Jan 2023 – Jan 2024 | Blacksburg, Virginia, United States

### Data Scientist @ IBM
Jan 2020 – Jan 2022 | Bengaluru, Karnataka, India
Designed and Implemented end-to-end data science projects for BESTSELLER (retail fashion) and SONY Pictures (entertainment)

● API-based video metadata extraction pipeline using Python, Flask and Tensorflow to automate and improve character, scene and emotion analysis of TV show content. 
● Custom Entity Recognition NLP pipeline using NLTK and spaCy to assist targeted advertising campaigns, by identifying company and brand names from news articles achieving 94% entity-level precision.
● Document processing pipeline to localize and generate table structure using the TableNet model, identify text using pytesseract, and digitize tables from over 50,000 noisy and irregular invoice PDFs.
● Deployed an AI-infused Product Lifecycle Management tool on IBM Cloud for 3 brands.

### Software Engineer Intern @ OYO
Jan 2020 – Jan 2020 | Bangalore, India
● Developed similar listings feature using Elasticsearch filters resulting in improved listing visibility
● Created optimized RESTful APIs for migrating Invoicing service to SpringBoot application
● Integrated OpenStreetMap into the listing page; reducing overhead costs by 10%
● Coordinated in a 5-person team for general bug-fixing of backend code in PHP and Laravel

### Data Science Intern @ Couture.ai
Jan 2019 – Jan 2019 | Bangalore, India
● Automated dashboard editing in Apache Superset, reducing client workload by 10 hours weekly
● Created a demand forecasting model for a fashion website using Deep Learning and Forecasting models 4.5% sMAPE
● Evaluated machine learning algorithms for product recommendation and rule-based algorithms for Feature Selection


## Education
### Master of Science - MS in Computer Science
New York University

### M.Sc.(Hons.) Economics and B.E.(Hons.) Electrical & Electronics Engineering
Birla Institute of Technology and Science, Pilani

### Bansal Public School, Kota, Rajasthan


## Contact & Social
- LinkedIn: https://linkedin.com/in/charvigupta31
- Portfolio: https://gcharvi31.github.io/

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Source: https://flows.cv/charvigupta1
JSON Resume: https://flows.cv/charvigupta1/resume.json
Last updated: 2026-04-11