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Alankrit Bhatt

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Bengaluru, Karnataka, India
Contact Alankrit regarding: 
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Résumé

Jobs verified_user 0% verified
  • Infosys
    Specialist Programmer
    Infosys
    Aug 2023 - Current (3 years 3 months)
    • API Architecture: Engineered scalable RESTful APIs for the Member module using Java Spring Boot, improving system reliability and reducing response times by 25% for critical healthcare workflows. • Microservices Development: Designed and implemented microservice architecture with Java Spring Boot, resulting in 20% code efficiency and 30% performance improvement across services. • Healthcare Solutions: Built domain services and APIs for Member, Person, and Coverage modules, ensuring seamless data integration across healthcare systems. • Visualization Engine: Integrated visualization engine with Cytoscape into Angular-based Knowledge Studio, improving data exploration capabilities and increasing user productivity by 15% across 3 product
  • Workato
    Automation Specialist Intern
    Workato
    Jul 2023 - Aug 2023 (2 months)
    • Salesforce-Jira Integration: Orchestrated automation strategy integrating Salesforce and Jira workflows, reducing synchronization errors by 50% and improving team productivity. • Workflow Automation: Developed Slack Workbot automating key business processes, reducing manual task management time by 20% for 100+ team members.
Education verified_user 0% verified
  • Jaypee Institute of Information Technology
    Bachelor of Technology
    Jaypee Institute of Information Technology
    Jul 2019 - Jul 2023 (4 years 1 month)
  • S
    ISC
    Summer Valley School
    Jan 2015 - Jan 2018 (3 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • S
    Skill Connect
    Built scalable job platform using Java Spring Boot and Angular. • Implemented service mesh with Cloud Consul, achieving 99.95% uptime across 12 microservices • Reduced page load time by 40% through lazy loading and Angular 17's performance optimizations • Designed REST APIs handling daily requests with average response time of 100ms Created expense management system using heap data structures, processing
  • S
    Smart Expense Manager
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