I am an impact-oriented Software Engineer with over 4 years of experience crafting powerful, cloud-native platforms and intelligent backend systems for fast-paced domains including healthcare, aviation, and energy. I specialize in architecting real-time, event-driven solutions that blend modern web technologies with AI, AR, and cloud computing. From building FHIR-integrated healthcare apps to deploying AR-guided rescue systems, I consistently deliver innovations that streamline operations and scale effortlessly. My hands-on expertise spans the entire stack, with deep command of Python, FastAPI, Firebase, React, BigQuery, GCP, and Terraform, backed by a track record of leading complex builds from automated lab portals to multi-UAV data streaming infrastructures.

Rushikesh Nalamothu

I am an impact-oriented Software Engineer with over 4 years of experience crafting powerful, cloud-native platforms and intelligent backend systems for fast-paced domains including healthcare, aviation, and energy. I specialize in architecting real-time, event-driven solutions that blend modern web technologies with AI, AR, and cloud computing. From building FHIR-integrated healthcare apps to deploying AR-guided rescue systems, I consistently deliver innovations that streamline operations and scale effortlessly. My hands-on expertise spans the entire stack, with deep command of Python, FastAPI, Firebase, React, BigQuery, GCP, and Terraform, backed by a track record of leading complex builds from automated lab portals to multi-UAV data streaming infrastructures.

Available to hire

I am an impact-oriented Software Engineer with over 4 years of experience crafting powerful, cloud-native platforms and intelligent backend systems for fast-paced domains including healthcare, aviation, and energy. I specialize in architecting real-time, event-driven solutions that blend modern web technologies with AI, AR, and cloud computing.

From building FHIR-integrated healthcare apps to deploying AR-guided rescue systems, I consistently deliver innovations that streamline operations and scale effortlessly. My hands-on expertise spans the entire stack, with deep command of Python, FastAPI, Firebase, React, BigQuery, GCP, and Terraform, backed by a track record of leading complex builds from automated lab portals to multi-UAV data streaming infrastructures.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Advanced

Work Experience

Software Engineer at Neelyx Labs
June 1, 2024 - Present
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
Software Engineer at Saint Louis University
May 31, 2024 - August 18, 2025
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
Software Engineer at Egen
June 30, 2022 - August 18, 2025
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
Junior Software Engineer at CIPLA
February 28, 2021 - August 18, 2025
Architected a HIPAA-compliant full-stack prescription management platform using FastAPI, React, PostgreSQL, and GCP services, enabling real-time prescription tracking, automated alerts, and seamless provider-patient communication. Designed a scalable ML-based dosage advisory engine leveraging Scikit-learn, Vertex AI, and Pandas, trained on historic EHR data to generate personalized medication recommendations, reducing dosage errors by 35% and improving treatment adherence. Built a real-time adverse event detection pipeline using NLTK, Firebase, and Cloud Functions to analyze multilingual patient feedback and flag high-risk cases for pharmacovigilance review. Streamlined deployment and compliance workflows with Terraform, GitHub Actions, and Docker while integrating Shopify APIs and RESTful services for direct-to-patient medication kit deliveries—accelerating lab order fulfillment by 40%.

Education

Master in Computer Science at Saint Louis University
August 1, 2022 - May 31, 2024

Qualifications

Google Cloud Certified - Associate Cloud Engineer
January 11, 2030 - August 18, 2025
AWS Certified Machine Learning
January 11, 2030 - August 18, 2025
Meta Back-End Developer Professional Certificate
January 11, 2030 - August 18, 2025
Spring Boot Microservices and Kubernetes
January 11, 2030 - August 18, 2025
PostgreSQL Performance Optimization
January 11, 2030 - August 18, 2025

Industry Experience

Healthcare, Energy & Utilities, Transportation & Logistics, Software & Internet