HRBIRS
Blockchain Intelligence Recommendation
Trustworthy, immutable recruitment recommendations backed by on-chain credentials.
Principal-Author research on a blockchain-based recruitment system using Ethereum + Solidity (PoS) for secure, immutable data, paired with a hybrid TF-IDF recommendation engine achieving 85% precision. Published at ICT4SD 2025.
The Problem
Recruitment data and credentials were easy to tamper with, undermining trust in candidate matching.
System Architecture
Architecture design
Illustrative paths, not live telemetry.
Architecture overview. No node selected.
Full network reference
Recruiter
Query
Kind: client
Incoming (0)
None in this diagram
Outgoing (1)
- Recommenderflow
Recommender
TF-IDF
Kind: agent
Incoming (1)
- Recruiterflow
Outgoing (2)
- Match Engineflow
- Smart Contractsflow
Match Engine
85% precision
Kind: ml
Incoming (1)
- Recommenderflow
Outgoing (1)
- Ethereum PoSdata
Smart Contracts
Solidity
Kind: service
Incoming (1)
- Recommenderflow
Outgoing (1)
- Ethereum PoSdata
Ethereum PoS
On-chain
Kind: data
Incoming (2)
- Match Enginedata
- Smart Contractsdata
Outgoing (0)
None in this diagram
What I Engineered
- Led research as Principal Author on a blockchain-based recruitment system on Ethereum + Solidity (PoS).
- Implemented a hybrid recommendation engine with TF-IDF vectorization at 85% precision.
- Anchored credentials on-chain for secure, immutable, tamper-evident trust.
Impact & Scale
- 85% recommendation precision
- Immutable, tamper-evident on-chain credential trust
- 📄 Published at ICT4SD 2025
Stack
Portfolio context
Open to AI Software Development & Platform Engineering roles
Need someone who ships systems like this into production?