# Angel Negi

> Software Engineer at Microsoft

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

## Work Experience
### Software Engineer II @ Microsoft
Jan 2026 – Present | Mountain View, California, United States

### Software Engineer @ Microsoft
Jan 2024 – Jan 2026 | Mountain View, California, United States

### DevOps Engineer @ Logik.io
Jan 2024 – Jan 2024 | Chicago, Illinois, United States

### Associate DevOps Engineer @ Logik.io
Jan 2023 – Jan 2024 | Chicago, Illinois, United States

### Grader @ University of Southern California
Jan 2023 – Jan 2023 | Los Angeles, California, United States
Grader for EE-563: Estimation Theory under Prof. Maryam M. Shanechi

### Jr. Data Scientist Intern @ Aeyesafe
Jan 2022 – Jan 2022 | Los Angeles, California, United States
I designed statistics and thresholds for AI sensors to detect potential dangers of seniors, as part of the decision-making team and brainstormed to resolve flaws or deficiencies in the existing UI to make it more user-friendly for the elderly.
Worked on training a pose estimation model for a Fall Detection task using UR Fall detection and Multi-cam datasets, on both video frame and image inputs.

### AI-ML Intern @ bizAmica Software Pvt. Ltd.
Jan 2020 – Jan 2020 | Pune, Maharashtra, India
I developed a computer-vision python algorithm to process unstructured information from scanned PDFs of bank statements and derived transaction information from noisy statements operating google vision OCR and processed them into unified data frames for further downstream applications. The project was deployed to production, enabling bank statement processing in the SaaS Cognitive Document Parsing platform, “izDOX”.
I trained a spaCy NER Model on PDF scans of property deeds to extract relevant legal entities and obtained text in the documents using Google Vision OCR With relevant information, created an entity-wise labelled dataset achieved an accuracy of 96%, and improved gaps with RegEx and Markers.
To detect a bordered table, I extracted information from a bordered table structure with OpenCV to detect horizontal and vertical lines, and further converted unstructured cell information and table borders and OCR coordinates to processable Pandas data frames.


## Education
### Master of Science - MS in Computer Science
University of Southern California

### Bachelor of Technology - BTech in Computer Science
MIT World Peace University


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

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