Vaibhav Bharuka

About Vaibhav Bharuka

I solve complex problems at scale. Software and AI are my tools—not the destination.IMPACT AT A GLANCE:• Scaled system performance 500% while cutting infrastructure costs 20%• Architected solutions serving 10K+ daily users at 99.9% uptime• Led 15-engineer teams delivering healthcare platforms processing $2M+ revenue• Drove performance improvements of 3x through database optimization and caching strategies• Achieved SOC2 Type II compliance, winning $2M+ in enterprise contractsMY APPROACH:I start with the problem, not the technology. Whether it\'s undefined requirements, scalability bottlenecks, or technical debt—I establish robust workflows, design clean architectures, and deliver measurable business impact. My toolbox spans.NET Core, Azure Cloud, React.js, Python, MongoDB, and now Generative AI.Currently at InsightSoftware, I architect microservices that power enterprise clients globally. Previously at Rovicare, I led a 15-engineer team building a healthcare platform serving 10K+ daily users at 99.9% uptime. I built cloud infrastructure and analytics dashboards that transformed raw healthcare data into actionable insights, unified 5+ EMR platforms, and achieved SOC2 Type II compliance that won $2M+ in enterprise contracts.EXPANDING MY TOOLKIT:I\'m exploring Generative AI and modern frameworks to stay ahead of emerging problems. Whether it\'s LangChain for workflow orchestration or GenAI for intelligent automation, I\'m adding these tools alongside my core strengths in cloud architecture and system design. For me, new technology isn\'t about specialization—it\'s about solving more problems, faster.I\'m drawn to environments where problems are hard, stakes are high, and impact is measurable.

Experience

1. Senior Software Engineer at Insightsoftware

   insightsoftware

   Apr 2025 — Present · Hyderabad, IN

   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 feature development- Optimized distributed data layer: redesigned MongoDB aggregation pipelines and indexing strategy, reducing query latency 70% and storage costs 20% while handling 100K+ documents/day- Accelerated engineering velocity by implementing AI-assisted development workflows (GitHub Copilot, Cursor, Cline), doubling team output and establishing best practices across 18-person team- Designed event-driven architecture using distributed messaging patterns for cross-service communication, implementing eventual consistency patterns and ensuring data integrity across microservices

Education

• Buxi Jagabandhu English Medium School

  Higher Secondary School, Science (PCB) + Computer Science + English

  2012 — 2014

• Bhilai Institute of Technology Durg

  Bachelor’s Degree, Computer Science

  2014 — 2018

• Arizona State University

  Master of Science - MS, Computer Science