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Aaryan Vashishtha

@aaryanvashishtha

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Full-Stack Java engineer delivering enterprise backend systems with measurable impact.

India

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What I'm looking for

I’m seeking Software Engineer or Forward Deployed Engineer roles with scope for senior technical ownership—where I can own backend architecture, collaborate closely with customers, and deliver measurable improvements in performance, reliability, and compliance.

I’m a Java Full-Stack Engineer with 5 years of experience delivering enterprise-scale backend systems in regulated healthcare and supply chain domains. I’ve driven measurable results—reducing database size by 30%, cutting batch execution time by 85%, and building REST APIs that serve 44M+ users—while owning both architecture and end-to-end delivery.

At Zyter TruCare (Remote, India), I led database schema refactoring (25–30% smaller footprint), designed and delivered 30+ healthcare REST APIs, and exclusively owned a customer-specific product epic from architecture through customer sign-off with 100% on-time, bug-free delivery. I also architected a reactive Angular/NgRx frontend, built automated PDF generation pipelines (JRXML), contributed to security/compliance (including licence-based authorisation), and ran an internal AI tooling proof-of-concept to improve developer productivity and defect triage.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Zyter TruCare

Jun 2024 - Present (1 year 11 months)

Led database schema refactoring, reducing overall database size by 25–30% and lowering Oracle infrastructure costs. Designed and delivered 30+ REST APIs in Java/Spring Boot for healthcare workflows, improving responsiveness for a 44M+ user base.

Java Spring Boot RESTful APIs Oracle Pl SQL Angular NgRX Batch Processing CI CD

Associate Consultant

Capgemini

Sep 2021 - Jun 2024 (2 years 9 months)

Optimized batch processing pipelines, cutting batch execution time by 85% and eliminating production timeout failures. Resolved 50+ production incidents within SLA using root-cause analysis, and improved QA efficiency by building a non-regression automation tool that reduced QA cycle time by 70%.