Rushikesh Nalamothu

Led the development of a robust, scalable client-facing healthcare application using Medplum and React, ensuring seamless interoperability with FHIR standards to enhance system scalability, performance, and regulatory compliance across diverse clinical environments. Designed and launched a custom lab operations portal fully integrated with Shopify, automating order tracking and reducing manual spreadsheet workflows, achieving a 40% reduction in kit shipment turnaround time and increasing lab processing efficiency. Architected and deployed high-throughput FHIR-to-HL7 transformation pipelines, enabling seamless data exchange with external partners and improving integration efficiency by 50%. Collaborated cross-functionally with product managers, clinicians, and DevOps teams to align technical solutions with stakeholder requirements, driving continuous delivery and scalable deployment using Docker, GitHub Actions, and GCP Cloud Functions. Conducted code reviews, performance tuning, and CI

Designed and implemented a real-time augmented reality system using Unity and C# tailored for UAV-based search and rescue operations, incorporating custom-built APIs for precise geolocation and dynamic AR marker visualization with spatial accuracy within 1.5 meters across varied terrains. Engineered and deployed an interactive AR application for Microsoft HoloLens 2 leveraging the Mixed Reality Toolkit, empowering first responders with live GPS tracking, contextual 3D annotations, and mission-critical overlays to dramatically improve situational awareness and decision-making in high-stress environments. Built a high-precision data processing pipeline in Python utilizing OpenCV and NumPy to extract real-time geospatial data from UAV telemetry and video streams, accounting for dynamic altitude shifts and camera orientation to ensure accurate overlay rendering in 3D space. Deployed and optimized a cloud-hosted MQTT server on Google Cloud Platform Compute Engine, configuring lightweight pr

Developed and deployed advanced analytical solutions using custom SQL functions and stored procedures in BigQuery, reducing data processing times by 30% and enabling real-time dashboard visualizations for improved business insights. Engineered fully automated data pipelines leveraging Google Cloud Functions triggered by Cloud Storage events, integrated with Speech-to-Text API to deliver immediate and scalable transcript generation. Implemented CI/CD best practices using Google Cloud Build and Cloud Run, automating infrastructure provisioning with Terraform—enhancing deployment efficiency by 75% and ensuring consistent service rollout across environments. Designed and implemented role-based access control (RBAC) and data security policies in BigQuery and Cloud IAM, ensuring compliance with enterprise security standards and safeguarding sensitive data. Automated end-to-end data quality checks using Dataform and custom Python scripts, enabling early anomaly detection and maintaining ove