
Vaibhav Bharuka
@vaibhavbharuka
Senior Software Engineer at InsightSoftware architecting XBRL compliance microservices for 500+ enterprise clients.
What I'm looking for
At InsightSoftware, I architect microservices for an XBRL compliance platform serving 500+ enterprise clients. I refactored a legacy .NET monolith into Clean Architecture microservices, reducing codebase complexity by 40% and enabling 3x faster feature development.
At Rovicare, I led a 15-engineer team delivering a healthcare platform for 10K+ daily users at 99.9% uptime. I unified 5+ EMR platforms through a FHIR-compliant integration layer and helped achieve SOC2 Type II certification.
I also built cloud-native Azure infrastructure and a real-time analytics platform that tracked 20+ KPIs across 15+ healthcare facilities. Performance optimization, including query improvements and Redis caching, made the platform 3x faster.
I start with the problem, not the technology. Alongside .NET and cloud architecture, I'm exploring Generative AI, including LangChain workflow orchestration, to solve emerging problems.
Experience
Work history, roles, and key accomplishments
- Architected microservices for XBRL compliance platform serving 500+ enterprise clients; designed domain-driven architecture with Docker/Kubernetes orchestration, improving system scalability and fault tolerance by 40%
- Led technical debt reduction initiative by refactoring legacy .NET monolith into Clean Architecture microservices, reducing codebase complexity 40% and enabling 3x faster featur
- Led 15-engineer team delivering healthcare platform for 10K+ daily users across hospitals, maintaining 99.9% uptime with HIPAA compliance. Improved delivery velocity 35% through agile processes.
- Architected Azure cloud-native infrastructure: App Services with auto-scaling, Functions processing 1M+ events/day, Cosmos DB, Private Network for HIPAA. Reduced costs 25% while improving reliability.
- Led 10-engineer team architecting bi-weekly release cycles ensuring timely delivery of healthcare platform features. Established agile workflows that improved team velocity and product quality.
- Developed unified oversight dashboards (HighComm, PainScale, 9Elements) consolidating multiple system views into cohesive interfaces. Reduced clinician workflow time and improved data visibility across
- Optimized MariaDB database queries and refactored ASP.NET code, achieving 500% response time reduction and significantly improving application performance
- Designed architecture and project plan for application enhancement and integration of new features, focusing on scalability and maintainability
- Developed .NET Core webhook application with comprehensive security configurations, implementin
- Designed and developed intelligent chatbot using Rasa framework to simulate human interventions in social experiments, enabling automated data collection and research insights
- Built Django-based survey platform deployed on AWS, providing scalable infrastructure for conducting user research via MTurk and ClickWorker with thousands of participants
- Implemented full-stack solution using modern t
- Developed enterprise Angular 6 web application serving 27+ projects with centralized .NET Core backend for configuration management, enabling streamlined deployment workflows and reducing configuration errors by 40%.
- Optimized Docker CI/CD pipeline reducing build times by 60% through multi-stage builds, layer caching, and automated testing integration for both frontend and backend services.
- Developed native iOS application with adaptive UI supporting multiple device form factors (iPhone and iPad) using Auto Layout constraints, ensuring optimal user experience across iOS ecosystem.
- Engineered Swift-based quiz application implementing Model-View-Controller architecture with focus on state management, data persistence, and clean code principles for training capstone project.
- Imp
- Worked closely with back-end engineer to design and tweak RESTful API developed in Asp.net Web Api used by the frontend.
- Developed and executed formal test plans within budget and schedule constraints.
Education
Degrees, certifications, and relevant coursework
Outskill
AI Engineering Accelerator Program
Oct 2025
Arizona State University
Master of Science - MS, Computer Science
2019 - 2021
Subjects include:
- Machine Learning Systems
- Data Mining
- Data Processing at Scale
- Statistical Machine Learning
- Applied Cryptography
- Foundation of Algorithms
Bhilai Institute of Technology Durg
Bachelor’s Degree, Computer Science
2014 - 2018
Coursera
Deep Learning Specialization
Oct 2018
Buxi Jagabandhu English Medium School
Higher Secondary School, Science (PCB) + Computer Science + English
2012 - 2014
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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