Qammar Uz Zamman
Data Scientist & Cybersecurity Specialist
Qammar Uz Zamman is a data scientist and cybersecurity specialist working across AI, agentic systems, and advanced solution engineering. At Chinar Quantum AI, he develops intelligent automation pipelines, LLM-driven systems, and end-to-end production-ready AI applications for diverse industries.
His background spans cybersecurity, penetration testing, machine learning, MLOps, and control systems. He blends analytical thinking with engineering depth to build secure, scalable, and high-impact AI solutions.
Experience
Data ScientistPresent
Chinar Quantum AI
- Develops AI and agentic systems using LLMs, LangChain, multi-agent architectures, and world-model concepts.
- Conducts research on large-context models, reasoning frameworks, and advanced automation techniques.
- Built intelligent task-driven agents and automation pipelines that improved operational efficiency for clients.
- Designed ML solutions including recommendation systems, sentiment models, and domain-specific NLP systems.
- Developed MVPs and production-ready solutions such as healthcare appointment optimizers and travel itinerary systems.
Cyber Security Intern
INFOVIRTECH Pvt. Ltd.
- Performed penetration testing on applications and end devices.
- Conducted detailed vulnerability assessments and provided remediation insights.
- Executed ethical hacking simulations to evaluate system weaknesses.
- Analyzed network infrastructure including routers, switches, and firewalls.
Penetration Testing Intern
Virtually Testing Foundation
- Gained hands-on experience in ethical hacking and threat analysis.
- Developed projects including XSS Scanner, File Injection tool, and phishing simulations.
- Identified & mitigated cybersecurity vulnerabilities across demo systems.
Education
B.Tech in Computer Science Engineering
Baba Ghulam Shah Badshah University
Projects
ChatWithAnyURL
Developed a conversational AI tool that extracts, embeds, and queries webpage content using LangChain, vector stores, and a Streamlit-based interface.
Script Translator & Localizer
Created a DOCX-based script translation system using GPT-3.5 Turbo with context-preserving prompt templates for accurate localization.
URL Extractor
Automated recon tool to extract URLs for penetration testing workflows, improving reconnaissance efficiency.
Titanic - ML from Disaster
Built a RandomForestClassifier-based predictive model with feature engineering and preprocessing pipelines.
NetPen - Automated Penetration Testing Tool
Co-developed a pentesting automation system covering reconnaissance, vulnerability scanning, CVE lookup, exploit identification, and exploitation phases.