WelHire AI Recruitment SaaS
Autonomous Candidate Screening, AI Interviews & Intelligent Hiring Analytics
Enterprise talent acquisition suffered from manual resume fatigue, subjective evaluation bias, and agonizingly slow 45+ day interview scheduling cycles across thousands of applicants.
- Distributed microservices backend orchestrating LLM-powered Job Description generation and semantic CV vector search.
- Asynchronous video/audio ingestion pipeline with real-time biometric and behavioral proctoring models.
- Multi-tenant RBAC platform with usage-based metering, enterprise analytics dashboards, and ATS integrations.
- High-concurrency automated interview execution engine capable of parallelizing thousands of simultaneous candidate screenings.
- 01.Architected usage-based tiered pricing rather than fixed seat licensing, directly aligning software cost with hiring velocity and driving ₹1.14 Cr internal revenue.
- 02.Engineered real-time browser-based anti-cheating proctoring without intrusive local binary installations, achieving a stellar 4.5/5 candidate satisfaction rating.
- 03.Pioneered a standardized prompt-engineering framework with deterministic rubric grading to eliminate hallucination in candidate evaluation.
- ▸Mitigating non-deterministic LLM scoring variance across diverse regional accents and technical disciplines by introducing cross-encoder calibration benchmarks.
- ▸Maintaining low-latency video streaming and question delivery under fluctuating candidate bandwidth conditions across global geos.