The Challenge
What made this project especially challenging—and equally rewarding—was starting from a blank slate. With no initial documentation, no UI/UX inputs, and no clear scope, we had to build everything ground up. The breakthrough came not just in solving a technical problem, but in crafting a real-world solution that addressed a deep-rooted issue of impersonation in examinations.
Today, knowing that our system is trusted to verify identities and secure recruitment processes at scale is a deeply fulfilling milestone for me and the entire team.
CanWill Athenaworks’ Application Engineering team delivered a robust, modular product that combined security-first architecture with user-centric design.
Key Components:
Data Handling & Privacy Compliance:
In line with UIDAI regulations, the system performs all Aadhaar OTP and biometric validations as ephemeral, runtime operations. Biometric and personally identifiable information is never stored—locally or in the cloud. The system receives real-time identity validation data strictly for cross-verification against registration details, without persisting any sensitive user data. This approach ensures full compliance with UIDAI’s stringent data privacy standards and reinforces the product’s integrity in high-stakes environments
Tech Stack:
ReactJS (frontend), C#.NET (backend), MS SQL (DB), Azure (cloud), UIDAI APIs (OTP + Biometric), MFS110 RD SDK, SendGrid, Razorpay, and other modular integrations.
Methodology: Agile sprints, iterative design based on live deployment feedback, cross-team coordination with UIDAI vendors.
Quantifiable Wins:
Scalability:
Hosted on Azure with auto-scaling capabilities to handle exam-day traffic surges and concurrent sessions without performance degradation.
Client Feedback
Stakeholders praised the product’s adaptability, intuitive UX, and seamless API integrations. Special mention was given to the team’s responsiveness and ability to integrate last-minute requests from exam authorities with minimal downtime.
