Ritesh Ahlawat

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at Commure
June 1, 2024 - Present
Architected high-scale payment processing infrastructure using Python/FastAPI, PostgreSQL, and Redis that processes $5M+ in healthcare payments across 9 million patient encounters, refactoring legacy system into a scalable architecture enabling real-time encounter-level posting. Designed and launched a claims reconciliation platform using React, TypeScript, and MUI that achieved 100% adoption across healthcare sites; led technical design while collaborating with ops, design, and account management teams to standardize workflows and provide real-time visibility into blocked claims. Drove development of an automated insurance detection system using Python/FastAPI in a two-person team, identifying missing coverage and resubmitting over 14k claims automatically; saved patients $1.54M in out-of-pocket costs and increased eligibility denial auto-resubmission rate from 12% to 20%.
Software Engineer at BlueCat
June 1, 2024 - October 9, 2025
Created an internal Python tool that anonymizes customer databases for testing to ensure customer data remains private. Implemented a DDNS update distribution service to the core Java product and REST APIs, enhancing system reliability by efficiently distributing updates across a cluster of DNS/DHCP servers. Created PostgreSQL DB triggers to automate table partition creation, mitigating excess DB growth.
Machine Learning Research Assistant at Toronto Metropolitan University
April 1, 2022 - October 9, 2025
Created a novel attention-based ML model using Python to classify gigapixel cancer pathology slides, achieving 96.39% accuracy - submitted for publication at the ImNO conference.
Software Engineer Intern at BlueCat
August 1, 2021 - October 9, 2025
Implemented TLS encryption for all data sent between production servers preventing man-in-the-middle attacks.
Software Developer Intern at Ministry of Transportation
December 1, 2020 - October 9, 2025
Developed and presented several deep learning models in TensorFlow and PyTorch for vehicle tracking and lane detection on government highways, leading to $1M investment in the technology.
Research Assistant at Toronto Metropolitan University
April 1, 2021 - October 9, 2025
Implemented speech recognition algorithms for single-switch users increasing accessibility for those with disabilities.

Education

B.Sc. (Honors) in Computer Science at Toronto Metropolitan University
January 11, 2030 - October 9, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Financial Services, Professional Services