React.js | Python | Hack | Django | Aws | Flutter | Express / Rest API | Scala | Swift | Global Rank 12 @ CEH 2020
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Assessing your cultural and operational fit
Student At REVA - AI | Acharyan - 2022
AWS
June 15, 2026 – Present
Secure-Certificate-Validation
March 17, 2025 – June 25, 2025
Secure-Certificate-Validation — GitHub repository
View ProjectIoT-Application-Management
February 20, 2025 – February 20, 2025
Smart Order Processing & IoT Alerts is a robust automation system that integrates order processing with IoT notifications. It utilizes Node.js, SendGrid, OpenWhisk, and IBM Watson IoT to automate workflows. Orders are validated and processed efficiently, triggering real-time email notifications and IoT events.
View ProjectTENSORFLOW-TERRAFORM
September 19, 2024 – September 19, 2024
TENSORFLOW-TERRAFORM — GitHub repository
View ProjectSELENIUM-AUTOMATIONS
September 19, 2024 – September 19, 2024
SELENIUM-AUTOMATIONS — GitHub repository
View ProjectSWIFT-x-REACT-NATIVE
September 16, 2024 – September 16, 2024
IOS Interface Using React Native & Swift This project is a cross-platform iOS application developed using React Native and Swift. It utilizes a combination of modern technologies such as SASS, JavaScript (JS), and HTML to create a visually rich and highly functional user interface for iOS devices.
View ProjectGO-CLOUD
March 16, 2024 – March 17, 2024
The GoATM Transaction System is a robust solution built using Go programming language for backend functionality, coupled with HTML, CSS, and XML for the frontend interface. This repository provides a secure and user-friendly platform for managing ATM transactions efficiently.
View ProjectFLUTTER-UI
February 7, 2024 – February 7, 2024
"Explore our Fitness App GitHub repository! Built with Dart, Swift, Ruby, Kotlin, HTML, and CSS, it offers a seamless fitness tracking experience. Set goals, track workouts, and monitor progress effortlessly. Start your fitness journey today!"
View ProjectCultural Fit Analysis
The candidate's projects show a broad interest in various technologies, from mobile development (FLUTTER-UI, SWIFT-x-REACT-NATIVE) to backend (GO-CLOUD) and some DevOps/AI (TENSORFLOW-TERRAFORM, JERVIS---AI-). This diversity suggests an eagerness to learn and explore. However, the projects are all personal and lack details on team collaboration or impact, making it difficult to fully assess cultural fit in a professional setting. The target role is 'AWS', and while some projects touch upon cloud concepts (GO-CLOUD, IoT-Application-Management), direct AWS experience is not explicitly stated or demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is 'Student At REVA - AI | Acharyan - 2022' with a future start date, indicating a lack of professional work experience. Project descriptions are brief and do not provide insight into collaboration or problem-solving approaches.