Engineered and scaled a sophisticated, AI-powered Office Management System, architected to automate and optimize the end-to-end recruitment lifecycle and internal workforce allocation. Played a pivotal role in designing a robust, secure, and high-performance backend infrastructure, ensuring seamless orchestration of complex, data-intensive workflows.

Led the backend development under Agile methodology, delivering modular, scalable, and production-grade services with a strong emphasis on asynchronous processing, system resilience, and performance optimization.

Key Contributions & Technical Highlights:

AI-Based Resume Screening Engine:
Developed backend services to integrate intelligent evaluation pipelines for ATS (Applicant Tracking System) scoring and CCS (Candidate Competency Scoring), enabling automated, data-driven candidate shortlisting with high accuracy and reduced manual intervention.
Automated Interview Orchestration:
Architected APIs for dynamic interview slot allocation post-HR evaluation, incorporating availability mapping, scheduling logic, and real-time coordination to ensure frictionless interview workflows.
AI-Driven Interview Assessment System:
Built backend integrations for advanced AI modules including facial expression analysis, voice sentiment evaluation, and intelligent answer validation, enabling comprehensive candidate assessment through multi-dimensional data processing.
Automated Group Discussion Infrastructure:
Engineered services to automatically initiate and manage virtual group discussion sessions, integrating third-party meeting systems (akin to Google Meet) with secure token-based access and session lifecycle management.
Intelligent Scoring & Role Allocation Engine:
Designed a centralized evaluation system to aggregate multi-source candidate data, compute final scores, and automate role assignment and task distribution, ensuring optimized talent utilization.

Core Backend Engineering Responsibilities:

Designed and implemented scalable RESTful APIs with clean architecture principles
Developed asynchronous and event-driven workflows to handle high-concurrency operations efficiently
Implemented role-based authentication and authorization (RBAC) ensuring strict access control and data security
Secured backend endpoints with token-based authentication, encrypted data handling, and protected routes
Optimized database queries and system performance for low latency and high throughput
Established testing pipelines, including unit and integration testing, to ensure system reliability and maintainability
Collaborated cross-functionally to align backend systems with AI modules, frontend interfaces, and business logic