NITHIYA DAVIS

Software Professional with 4+years of experience specializing in Spring Boot,AWS,and microservice. Demonstrates strong analytical skills through the integration of advanced algorithm and cloud service,enhancing applications performance and scalability. Passionate about leveraging expertise in API development and cloud computing to drive innovation and efficiency in backend solutions.Experienced in mentoring junior engineers and collaborating across cross-functional teams.

Amazon Web Services Cloud Practitioner - 2024

• Team Champ Award from IBS Software for outstanding performance and dedication. Managed 15+ ad-hoc tasks and supported 3 high-priority projects, resulting in a 20% increase in team efficiency and on-time delivery.
• Excellence Award at Kokonet Technologies for developing an AI-driven identity verification system for a doctor conference with 4000 attendees. Received exceptional customer appreciation for its accuracy and seamless integration, enhancing the attendee experience. Recognized for innovative development and successful implementation.

• Award-winning Solution Development:
  Developed an AI-driven face recognition solution for a large-scale doctor conference with 4000 attendees, receiving customer recognition for accuracy and seamless integration, significantly improving event attendee management.
• Team Efficiency Improvement:
  Led the successful completion of 15+ ad-hoc tasks and supported 3 high-priority projects, increasing team efficiency by 20% and ensuring on-time delivery, earning the Team Champ Award at IBS Software.
• Microservices Architecture Implementation:
  Architected and implemented a scalable microservices-based application using Spring Boot and AWS, reducing deployment time by 30% and improving system resilience, while enhancing overall application performance.
• Cloud Integration & Optimization:
  Integrated AWS Cloud services into a complex application, utilizing AWS S3 and DynamoDB to improve data storage and retrieval speeds, resulting in a 25% reduction in system latency and optimized resource usage.
• Facial Recognition for Security & Identification:
  Designed and implemented a facial recognition system for secure identity verification, boosting the reliability of user authentication while ensuring minimal system downtime during deployment.
• Cross-functional Collaboration:
  Collaborated with cross-functional teams to define system requirements and implement business logic for highly successful customer-facing applications, improving stakeholder engagement and client satisfaction.