Parul Laul Jordon

Philadelphia, PA|parul.laul@gmail.com|LinkedIn|GitHub|Website

Experience

iFITRemote
Senior ML EngineerJune 2025 – Present
  • Led development of a Python-based conversation analytics tool with LLM-based sentiment and topic extraction and similarity search. Deployed as a daily AWS batch job and paired with a TypeScript internal web app.
  • Designed and implemented a TypeScript-based OpenSearch ranking system to replace legacy search, alongside a Python evaluation framework using production queries, hybrid rule-based/LLM relevance labeling, and offline retrieval metrics.
  • Led development and deployment of a trainer persona classification pipeline in Python, integrating transcript processing, LLM classification, clustering, automated monthly retraining, and a production API.
  • Developed a Python A/B testing framework and dashboard, running end-to-end experiments covering setup, statistical analysis, monitoring, and reporting.
Splash FinancialRemote
Senior Data ScientistJanuary 2025 – May 2025
  • Built a scalable GitHub Actions-based reporting system that automated lender report creation for internal teams and external partners. This provided insights into model performance and effectiveness for ML-driven lending decisions.
Weight WatchersNew York, NY
ML EngineerNovember 2019 – August 2024
  • Led development and deployment of a Python-based RAG chatbot integrating LLMs with recipe and nutrition data for WW members, deployed on AWS.
  • Led end-to-end development of a Python recipe points estimator from URLs, implementing LLM-based ingredient extraction, FAISS-based matching, points calculation, and API deployment.
  • Built a Python-based predictive search system using member food-tracking history, popular brands and restaurants, and query expansion. Stored food items in PostgreSQL and developed an API to serve predictions. Deployed on GCP.
  • Improved engineering infrastructure by troubleshooting CI/CD failures, integrating debugging tools, and building a Streamlit dashboard for build metrics. Supported GCP-to-AWS migration with zero downtime.
VituityEmeryville, CA
Data ScientistJanuary 2018 – February 2019
  • Developed an unsupervised learning model that groups US hospitals by size, location, and composition, allowing medical directors to benchmark performance.
  • Created a predictive model to determine the likelihood of ER patients requiring ICU admission, helping physicians with triage decisions and optimizing room and bed allocation.
Bronx Community CollegeNew York, NY
Assistant ProfessorAugust 2013 – August 2017
  • Taught various undergraduate-level courses such as Linear Algebra and Probability and Statistics.
  • Supervised undergraduate research projects on general relativity and digital signal processing.
Drexel UniversityPhiladelphia, PA
Visiting Assistant ProfessorAugust 2012 – August 2013
  • Taught advanced undergraduate-level courses, including Partial Differential Equations and Linear Algebra.
  • Collaborated on projects that characterized light paths near rotating black holes.

Education

University of Cambridge, UKPostdoctoral Fellow, Mathematics
University of North Carolina, Chapel HillPhD, Mathematics
University of Toronto, CanadaBSc, Mathematics and Biochemistry

Projects

Team Chemistry Analyzer for NBASummary
  • Developed a statistical learning based NBA game simulator that used player positional data to assess how well randomly assembled players would perform together.