Rucha Kulkarni

• Engineered a full-stack remote report-printing system across 4 independently deployed microservices (Django, React, TypeScript, REST APIs), enabling 3,000+ diagnostic labs to print reports without on-site infrastructure and reducing manual operational effort by ∼30% (≈8 hrs/week per lab). • Developed and shipped scalable features for a 500K+-line multi-tenant healthcare SaaS platform serving 5,000+ labs and 2M+ patients, building production-grade Django/Python APIs and React/TypeScript UIs with strict tenant isolation, role-based access control, and data security. • Improved backend performance by ∼50%, cutting latency on report and billing endpoints through Django ORM query optimization, Redis caching-aware access patterns, and atomic transactions across multi-row database operations. • Owned 12+ features end-to-end from product requirements to production release; strengthened quality via unit and regression testing, code reviews, Git workflows, pre-commit hooks, and CI/CD pipelines.

CrelioHealth

• Led a 10-member team building hybrid CNN–LSTM models to predict crop reflectance from DOLP imaging data, improving prediction accuracy by 18% over the baseline. • Automated data preprocessing, model training, and visualization pipelines in Python (Pandas, Matplotlib), cutting experiment turnaround time by 40% and streamlining cross-lab collaboration.

NC State Department of Engineering

• Built a Node.js + Express interface framework for quantum language operations, integrating MongoDB to improve data retrieval speed by 40%, supporting translation between 5 quantum languages. • Developed and tested REST APIs with Jest, Supertest, and Postman inside automated CI/CD workflows, cutting validation time by 35% and reducing manual processing effort by 120+ hours.

LTIMindtree