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This is your flagship development, bridging technical expertise with ethical labor standards.
The Vision: Developing a proprietary, in-house AI-powered ATS designed specifically for the global software and tech consultancy market.
The "Ongoing" Innovation: We are currently integrating Agentic AI and LLM-based logic to move beyond simple keyword matching.
Tailored Personas: The system is being fine-tuned to recognize complex professional personas, ensuring a more human-centric and fair evaluation process.
SDG Alignment: This project is in active development to meet SDG 8 (Decent Work) and SDG 4 (Quality Education) by reducing hiring bias.
Highlight your continuous efforts in infrastructure and data protection.
5G NR Modernization: Ongoing research into global telecom modernization and network sync audits for enterprise private networks.
Cybersecurity Integration: Actively integrating Google and Cisco Cybersecurity standards into our software development lifecycle to support secure software exports.
Digital Transformation: Continuous refinement of network optimization tools using QGIS and MapInfo for real-time site monitoring.
AI-Based Phishing Detection: Developed an automated security system to detect potential image-based phishing and identity spoofing by comparing uploaded facial images against verified reference identities.
Facial Recognition & Identity Verification: Integrated FaceNet512, DeepFace, and OpenCV to detect faces, generate 512-dimensional facial embeddings, and perform intelligent identity comparison.
Security Risk Analysis: Implemented Cosine Distance-based similarity analysis to generate a Similarity Score, Risk Score, Risk Level, and Matched Account, enabling automated assessment of suspicious identity attempts.
Secure Digital Architecture: Built a modular architecture using Next.js, React, Node.js, Python Flask, and MongoDB, integrating AI processing, database persistence, security monitoring, and audit records.
AI-Based Phishing Detection: Developed an automated security system to detect potential image-based phishing and identity spoofing by comparing uploaded facial images against verified reference identities.
Facial Recognition & Identity Verification: Integrated FaceNet512, DeepFace, and OpenCV to detect faces, generate 512-dimensional facial embeddings, and perform intelligent identity comparison.
Security Risk Analysis: Implemented Cosine Distance-based similarity analysis to generate a Similarity Score, Risk Score, Risk Level, and Matched Account, enabling automated assessment of suspicious identity attempts.
Secure Digital Architecture: Built a modular architecture using Next.js, React, Node.js, Python Flask, and MongoDB, integrating AI processing, database persistence, security monitoring, and audit records.