# Ronit Ramnarayan

> Software Engineer @ Bombora

Location: Queens, New York, United States
Profile: https://flows.cv/ronitramnarayan

I have a strong foundation in mathematics and a growing passion for software engineering and machine learning, particularly in natural language processing (NLP). My journey into NLP started with a legal document summarization project, where I built a Python-based system using FastAPI and spaCy to summarize legal documents and extract key legal terms and case references. That experience sparked my curiosity, and I’ve been diving deeper into NLP ever since—learning, experimenting, and refining my understanding of the field.

Beyond machine learning, I have hands-on experience in backend development, working with C#, ASP.NET Core, and SQL to build APIs and full-stack applications. I enjoy tackling complex problems, whether it’s optimizing backend workflows, automating processes, or developing scalable systems.

While I’ve worked on exciting projects, I still consider myself a learner first. I’m always looking to expand my knowledge, refine my skills, and take on new challenges in both software engineering and machine learning. If you’re passionate about tech, NLP, or problem-solving, let’s connect!

## Work Experience
### Software Engineer @ Bombora
Jan 2025 – Present | New York, New York, United States

### Software Engineer @ Deluxe Delivery & Logistics Systems
Jan 2024 – Jan 2025 | New York, New York, United States
• Developed and optimized backend APIs in ASP.NET Core to deliver real-time route assignments and status updates to the driver application, improving delivery efficiency and reducing manual dispatch workload by 70%.
• Cut manual data entry time by 70% by building a web scraper with ASP.NET Core Web API and PuppeteerSharp, automating field population and product data extraction from 10+ e-commerce stores.
• Reduced manual invoice processing time by 60% by developing an Invoice UI for the billing system, integrating data binding to automatically pull and populate invoices from the database, eliminating the need for manual data entry.

### Software Engineer Intern @ Complete Discovery Source
Jan 2023 – Jan 2023 | Manhattan, New York, United States
• Decreased manual legal document review time by 60% by developing a Python-based NLP system with FastAPI and spaCy, automating legal term extraction and summarization for structured PDFs.
• Improved searchability and case organization by extracting key legal entities, case references, and dates using Named Entity Recognition (NER) models trained on legal datasets.
• Mitigated legal research time by 50% by building a PostgreSQL-backed system that automatically stores and indexes extracted legal terms, enabling instant search and retrieval of case references and key entities.


## Education
### Bachelor's degree in Applied Mathematics
Penn State University


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

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Source: https://flows.cv/ronitramnarayan
JSON Resume: https://flows.cv/ronitramnarayan/resume.json
Last updated: 2026-04-13