CASE STUDY

Faculty Recruitment Management System

One of India's most prestigious arts and science colleges screened 800+ faculty applications by hand. We digitized the entire hiring lifecycle and load-tested it to 10,000+ concurrent users.

Education Fixed ProjectWorkflow SystemScoring EngineLoad Tested
−75%
Screening time
10K+
Concurrent users
Higher Education
Industry

Overview

A fixed-scope engagement for one of India's most prestigious arts and science colleges. XLORIT digitized and automated the entire faculty hiring lifecycle, from application intake to final selection, replacing a fully paper-based process. The system is live and handling active recruitment cycles, with an AMC ongoing and V2 in development.

ClientPrestigious arts and science college (anonymized)
LocationIndia
IndustryHigher Education
Tech Stacks
DjangoReactCeleryRedisLocustDjango Debug Toolbar
Challenge

800+ resumes. Multiple departments. Every one reviewed manually.

The college managed faculty recruitment entirely through paper applications and emailed resumes. Staff physically separated resumes by department, and each Head of Department reviewed applications one by one, manually cross-checking qualifications against requirements. Screening was slow, error-prone and inconsistent across departments, with no scoring system, no audit trail, no reports and no visibility into where each candidate stood.

Key Challenges
  • Paper applications and emailed resumes sorted by hand
  • Qualifications cross-checked manually by each Head of Department
  • No scoring system, audit trail or reports
  • Inconsistent screening across departments as volumes grew

Our Approach

We built the full recruitment system, became domain experts in the process, and engineered it for 10,000 concurrent users.

01
The full hiring lifecycle
Built the system from scratch on Django and React across 8 core modules: Applicant, Department, Position, Education, Research, Screening, Shortlisting and Selection Forum, with role-scoped access for the Vice Principal, admins and Heads of Department.
02
Fair, weighted scoring
Worked with the Vice Principal on weighted scoring (for example, a full-time PhD scores 10 and a part-time PhD 8) and normalization that benchmarks each department's top scorer on a scale rounded to 30, iterating until it was precise enough for real hiring decisions.
03
Fast at scale
Fixed slow tables, API responses and report generation as data grew, using server-side pagination, database indexing, Celery for async tasks, Redis caching and Django Debug Toolbar to catch query bottlenecks.
04
Load tested to 10,000+ users
Scaled Locust load tests from 50 to 10,000+ concurrent users while tracking response time, error rate, CPU, Redis hit rate and DB connections. The system held every healthy threshold at full load.
Outcome

From zero domain knowledge to the system that outlasted the institution's own tool

We started with no expertise in faculty recruitment and requirements that weren't fully defined. We iterated with stakeholders, learned the domain, and built a scoring and normalization system precise enough for real hiring decisions. The college later built its own internal software, and still chose FRMS. They initiated an AMC after delivery and are now commissioning V2.

Key Outcomes
  • 75% less screening time, saving 1 hour per department per 50+ application batch
  • 800+ applications processed, with an active recruitment cycle running
  • 10,000+ concurrent users validated under 300ms response time and under 1% errors
  • 10+ report types and 8 core modules covering the full hiring lifecycle
  • Full recruitment cycle completed end to end
  • Preferred over the institution's own internal tool; AMC ongoing and V2 in development
“

We processed more than 800 applications this cycle without the usual chaos. Everything from application to final selection is in one place, and the reports are exactly what management keeps asking us for.

HR
HR Lead
Client institution

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Faculty Recruitment Management System
Screening time
−75%
Concurrent users
10K+