Vedant Sharma
Lead Software Engineer · Java | Spring Boot | Kafka | AWS · Backend Systems & Distributed Architecture
- Role
- Lead Software Engineer at Persistent Systems
- Location
- Bhopal, MP, IN
- LinkedIn followers
- 500 followers
About Vedant Sharma
Lead Software Engineer with 4+ years building backend systems that operate at production scale — from GDPR-compliant healthcare data pipelines to device orchestration platforms used by Fortune 500 companies like Thermo Fisher Scientific and PerkinElmer.I specialize in Java, Spring Boot, Kafka, and distributed systems design. I\'ve consistently delivered measurable results: 40% faster query performance on high-volume genomics workflows, zero GDPR compliance findings on a live radiology platform, and 35% improvement in real-time data sync for enterprise HR products.My approach centers on clean API design, event-driven architectures, and systems that are observable, maintainable, and built to last.Currently open to backend engineering roles — especially in healthtech, data-intensive platforms, and distributed infrastructure. Let\'s connect.
Experience
Lead Software Engineer
Jun 2024 — Present · Indore, IN
Led backend engineering across two enterprise platforms — a device orchestration system for Thermo Fisher Scientific\'s manufacturing operations, and a radiology AI platform for DeepHealth (RadNet).Thermo Fisher Scientific — Connect Enterprise Platform- Designed and shipped a device orchestration backend in Java handling state management, validation, and API-driven workflows across production operator applications- Owned end-to-end API and service-layer design with clear separation of concerns — enabling the team to ship and maintain features independently- Modelled complex device relationships in SQL and optimized queries, improving correctness and performance of core platform workflows- Integrated backend with Ignition Perspective (HMI) via gateway APIs and Jython scripting, delivering real-time operational dashboards for plant-floor operators.DeepHealth / RadNet — Radiology AI Platform- Built a GDPR-compliant patient data pipeline using Java and Kafka covering real-time access control, anonymization, and audit logging — achieving zero compliance findings across all reviews- Integrated AI-powered diagnostic features into a production radiology platform, improving radiologist decision support and reducing time-to-diagnosis- Automated data retention and user consent workflows, operationalizing privacy-by-design and cutting manual compliance overhead for the data governance team- Leveraged Kafka\'s event-driven model to keep data processing decoupled, auditable, and scalable as regulatory requirements evolved.
Education
University Institute of Technology, RGPV
Bachelor of Technology, Electronics and Communications Engineering
2017 — 2021
Sagar Public School
High School, Science and Mathematics
2007 — 2013
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