CASE STUDY

Transforming Expert Discovery with AI-Powered Semantic Search

Client: Internal Product – Evangelist Apps
Industries Focused: Recruitment / Talent Intelligence
Solution: AI-Based Expert Identification
Technology Stack: React, NextJS, Django, PostgreSQL, FAISS, Sentence Transformers, MiniLM, Python, LLM (GPT/Mistral)

The Challenge

Traditional expert discovery systems often depend on rigid keyword filters, static taxonomies, or manual Boolean searching. These approaches face major limitations:

Evangelist Apps recognized an opportunity to create disruption by building a zero-friction, AI-powered search engine that balances both human intuition and deep semantic intelligence.

The Solution: Expert Finder – A Next-Gen Semantic Match Engine

We developed Expert Finder as a fully private, on-prem or hybrid AI-powered platform designed for high-speed discovery, semantic matching, and contextual analysis. It goes far beyond keyword search by leveraging advanced language models, embeddings, and real-time relevance scoring with human-in-the-loop feedback.

Key Innovations

Features & Capabilities

Technical Architecture

A future-ready modular stack designed for scale, privacy, and integration:

Frontend: React, Next.js, Tailwind CSS
Backend: Django + Django REST Framework (DRF)
Database: PostgreSQL (main), SQLite (dev/light use)
AI/ML Stack:
- FAISS – Fast vector similarity search
- Sentence Transformers (MiniLM, MPNet) – for embeddings
- LLMs (GPT-4/Mistral) – for query expansion and match summaries
Deployment: Dockerized services (optionally cloud-deployable)
Monitoring/CI: GitHub Actions for build + test automation

Evangelist Apps recognized an opportunity to disrupt this paradigm by building a zero-friction, AI-powered search engine that mirrors how humans think — not how databases filter.

Results

The Expert Finder platform is currently in internal deployment, with highly encouraging benchmarks:

What’s Next

Conclusion

Expert Finder by Evangelist Apps is more than just a search tool – it’s a semantic match engine that blends structured and unstructured data into a real-time expert discovery experience. Whether used in recruitment, expert networks, or specialist advisory domains, this platform offers speed, precision, and unmatched explainability. We are continuously improving the stack and roadmap for external deployments in 2025.