Table of Contents
- Intellectual Property Notice
- Permissions
- Enforcement Notice
- About the Creator
- Public Transition (2025)
- Open-Source vs Proprietary Modules
- Why Open Source in 2025?
- Current GitHub Focus
- Live Repository
- Impact & Metrics
- Systems Highlights
- AI Engine Details
- Assessments & Validation
- Deployment Options
- IP Reminder
- Contact
This repository and all contents (code/models/docs) constitute
confidential business assets protected under:
Use constitutes acceptance of NDA Terms.
Unauthorized use, copying, or distribution is strictly prohibited.
PROPRIETARY LICENSE MD | PROPRIETARY LICENSE TXT | NDA TERMS | COMMERCIAL TERMS
âś… Allowed
• Personal evaluation
• Academic research (with attribution)
❌ Prohibited
• Commercial use
• Derivative works
• Redistribution (whole/partial)
Unauthorized use will trigger:
- DMCA takedowns
- Statutory damages (up to $150,000 per infringement under 17 U.S. Code § 504)
- Trademark litigation (for ™ violations)
Licensing Inquiries:
shakeel.techrecruiter@gmail.com | Commercial Terms
Senior Technical Recruiter | AI Hiring Systems Architect
• 30+ Years Scaling Tech Teams → 3+ Years Automating Hiring with AI
Hiring Innovation Since 1994 | AI Systems Since 2021 | Proprietary Engines First Released 2025
From 2021 to 2024, I independently conceived, developed, and deployed a suite of modular AI recruitment systems — including, but not limited to, TalentSync™ (sourcing), EngageIQ™ (engagement), FitScore™ (screening), and TalentRisk™ (retention). These systems constitute my exclusive proprietary intellectual property and were made available to enterprise and stealth clients under strict non-disclosure agreements (NDAs).
All performance metrics cited (e.g., match rates, retention accuracy) were tracked across anonymized cohorts and remain reproducible. Although deployed via client-side infrastructure (e.g., private GitHub repos, internal ATS/CRM systems, LinkedIn automation workflows), all core logic, architectural design, and system IP remain solely owned by me — with no transfer, assignment, or licensing of ownership granted. While all intellectual property remains mine, select deployment results, client-specific configurations, and use-case outcomes are protected under prior NDAs and remain confidential. In 2025, I began open-sourcing select, non-sensitive modules — starting with GitHub, Twitter/X, and Discord integrations — to:
• Share core recruitment logic in the public domain
• Promote transparent and ethical AI development
• Collaborate with builders on real-world hiring tools
All releases preserve client confidentiality and comply with NDA obligations.
| Module | Open-Sourced Version | Proprietary Equivalent |
|---|---|---|
| Resume Parser | Basic Resume Extractor | FitScore™ Engine Full Pipeline |
| DEI Fit Checker | Basic Bias Flags | FitScore™ Engine Full Pipeline |
After refining these systems in production environments (2021–2024), I’m releasing select modules to:
• Foster transparency in AI-driven hiring (e.g., public scrutiny of bias detection logic)
• Enable peer validation of core recruitment automation principles
• Contribute tools for ethical hiring (GDPR/EEOC-compliant by design)
• Lightweight tools derived from production-grade systems
• Modular, API-ready logic for resume parsing, DEI scoring, async assessments
• Clear documentation and working demos for public use
♦ LIVE REPOSITORY: LiveCode
• Resume Parser (open-source resume parsing logic)
• DEI Fit Checker
• Outreach Assistant
Note: These tools represent functional subsets of larger proprietary systems — shared for learning, research, and ethical collaboration. Commercial replication is not permitted.
© 2025 Shakeel Qureshi.
All naming conventions (e.g., TalentSync™, EngageIQ™, FitScore™ and Talent Risk™), models, and deployment logic are protected by copyright and trademark, and were made available to clients under non-disclosure agreements (NDAs) between 2021 and 2024.
• 30% faster hiring cycles (45 → 31 days)
• 30% gender-diverse shortlists (↑ from 25–28%)
• 85% retention prediction accuracy
• 60% automation across the recruitment lifecycle
• Standalone Platform – Full AI-powered, end-to-end hiring system
• Smart API Integration – Works with Greenhouse, Lever, and others
• DEI by Design – Doubles diversity in pipelines
• Bank-Grade Security – TLS 1.3 / AES-256 encryption
• NDA-Backed Deployments – All IP and data fully protected
• Geo-Optimized Job Posts: Distributed across global tech hubs (NA, EMEA, APAC) → automates distribution
• Semantic Sourcing: Platforms with developer activity (code, Q&A, project history) → matches signals
• Intent & Risk Signals: Community engagement & social graph analysis → predicts dropout risk & engagement
• AI Matching Logic: Evaluates portfolios & alignment to role → filters 65% mismatches before outreach
• AI Outreach: LLM-personalized messages (tone, timing, match) → 40% reply rate (2.7× industry avg)
• Bias-Aware Nurturing: Follow-up logic, inclusivity signals → 92% satisfaction rate (Candidate NPS: 4.5/5)
• Smart Intake: 12-min GDPR/CCPA-compliant smart form → improved unbiased screening by 35%
• Pre-Interview Shortlisting: Analyzes 20+ factors → 65% shortlist rate, saves 15+ hrs/week
• Predictive Retention: Analyzes 45+ signals → 85% accuracy (↑ from 68%) on predicted 90-day fit
• Risk Assessment: Flags burnout, resignation, mismatch → enables early intervention
• Audit-Ready AI: Auto-logged decisions + transparent system logic
Proprietary AI engines | GDPR & EEOC compliant by design
• Culture Fit: DEI-optimized scenarios → 92% shortlist alignment
• Technical Fit: Domain-specific tasks + follow-up reasoning checks → 40% fewer mis-hires
• Coding Test: AI-reviewed take-home tasks → 80% accuracy vs. 65% human benchmark; opt live coding
• Situational Judgment Tests (SJT): Auto-scored → aligned with role models and competencies
• Standalone – Full-stack, AI-powered ATS
• Modular Integration – Add specific engines to existing stacks
• Hybrid – Gradual deployment with phased automation
All logic descriptions represent high-level summaries. Specific implementation details, scoring logic, and client configurations remain proprietary.
TalentSync™,EngageIQ™, FitScore™, and TalentRisk™ are proprietary recruitment engines developed by Shakeel Qureshi (First Commercial Use: 2025). All naming conventions, system logic, and deployment architecture remain the intellectual property of the developer.
Systems are GDPR and EEOC compliant by design. May not be reused or commercialized without written consent.
© 2025 Shakeel Qureshi. All rights reserved.
Hiring for technical roles or building AI into your recruitment stack? I can help.
đź“© Email: shakeel.techrecruiter@gmail.com