MRITYUNJAY N. PANDEY

Summary

Led backend development in a lean team to build a B2B SaaS oncology platform, equipping oncologists with advanced patient-engagement tools and remote-monitoring capabilities, directly impacting care for 60,000+ cancer patients. Partnered with clinical stakeholders across the full development lifecycle, translating workflows into software requirements, architecting multi-tenant solutions, and implementing high-performance, scalable modules for cancer treatment, prevention, and supportive care that address real-world clinical needs. Developed document-level audit logging in MongoDB middleware, utilizing asynchronous storage to efficiently capture contextual data, enabling seamless traceability across 200+ collections with minimal performance overhead. Improved MongoDB performance by adding strategic indexes and implementing batched queries, resulting in 30% faster user request execution, and optimized the DB backup process, leading to a 50% reduction in backup times and a 70% reduction in backup file size. Integrated Elasticsearch with demographic data and medical terminologies (LOINC, drug databases, toxicities), enabling fuzzy search, leading to a 30% increase in user adoption of the search feature and a 40% improvement in search speeds. Designed a robust Admin Panel enabling features like adding and deactivating users within organizations, assigning users to teams, managing roles, and overseeing organizational management (adding, modifying organizations, and admin assignments), reducing user on-boarding time from a day to less than 30 minutes. Led the design and development of interactive KPI dashboards with 50+ KPI charts and exports, delivering granular insights across revenue, patient demographics, clinical data (registrations, appointments, diagnoses), and oncology-specific KPIs, resulting in enhanced real-time tracking. Deployed an automated S3 virus scanning pipeline using ClamAV, enhancing security and compliance for Ayushman Bharat Health Account (ABHA) integrations by detecting and isolating malicious files. Architected AWS Lambda functions for multi-method API authentication, introducing password-based login for reliable access in remote areas. Developed additional Lambdas for seamless user migration and account recovery in Cognito, minimizing user disruption.

Summary

Orchestrated VPCs, load balancers, and auto-scaling groups for EC2 instances, optimizing resource utilization and achieving 30% cost savings on AWS, while ensuring high availability and scalability. Designed a cost-optimized NAT instance solution for VPC, saving 80% on monthly infrastructure cost compared to managed AWS NAT Gateway. Implemented a zero-cost Cloudflare Tunnel solution to securely expose and debug VPC resources, simplifying internal access during development and troubleshooting. Saving 80% costs as compared to AWS Site-to-Site VPN. Improved AWS Lambda performance by minimizing bundle size, batching requests, and fine-tuning resource allocation, resulting in a 50% reduction in cold start times and a 10% decrease in execution times.