# Jaroor Modi

> Software Engineer, Machine Learning Algorithms, Data Science

Location: Jersey City, New Jersey, United States
Profile: https://flows.cv/jaroor

Motivated engineer with experience in programming, database design and management, scalable data analytics, and machine learning. Skill set includes strong foundations in mathematics, machine learning, and data engineering.

## Work Experience
### Senior Software Engineer @ Altana
Jan 2024 – Present | New York, New York, United States

### Software Engineer @ Amazon Web Services (AWS)
Jan 2022 – Jan 2023

### Machine Learning Engineer @ Anomaly
Jan 2021 – Jan 2022 | New York, New York, United States

### Quantitative Developer @ BNP Paribas
Jan 2018 – Jan 2021 | New York, United States
• Led design and development of a contract pricing system in Python and database in SQL yielding a 70% reduction in pricing inconsistencies.
• Coordinated between development, trading, and quantitative research teams to generate specifications for options risk indicators in new risk visualization systems.
• Created in-house tools to reconcile legacy and novel risk dashboards leading to 50% reduction in daily time spent validating models and pinpointing errors in new systems.

### Research Intern @ Boise State University
Jan 2017 – Jan 2018 | Boise, Idaho
• Created mathematical model to study gene sorting via linear-algebraic transforms and graph theory. 
• Implemented simulations of this model in Python to inform insights resulting in 4 novel theorems.
• Earned the “Outstanding Presentation” award at MAA’s 2018 Joint Mathematics Meetings conference.

### Research Intern @ MIT Lincoln Laboratory
Jan 2015 – Jan 2016 | Greater Boston Area
• Developed and deployed parallelizable matrix-transformation algorithm to compute conjugate graphs
on Accumulo databases. Extended work to detect cycles of arbitrary length in graphs.
• Presented work at MIT CSAIL for the 2016 Northeast Database Day poster session.

### Student Researcher @ Heterogenous Bioinformatics
Jan 2014 – Jan 2015 | Hoboken, NJ
Researched and presented on Hidden Markov models and implemented HMMER 3.0, a HMM-based probabilistic protein sequencing suite.


## Education
### Master of Science - MS in Computer Science
Stevens Institute of Technology
Jan 2018 – Jan 2020

### Bachelor of Science - BS in Computer Science
Rutgers University
Jan 2015 – Jan 2018

### Bachelor of Science - BS in Mathematics
Rutgers University
Jan 2015 – Jan 2018


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

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Source: https://flows.cv/jaroor
JSON Resume: https://flows.cv/jaroor/resume.json
Last updated: 2026-03-20