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Muhammad Saeed Anwar

@muhammadsaeedanwar

Software engineer building FastAPI network diagnostics and security tools, with research on LLM prompt injection accepted at AISec 2026.

Pakistan

Message

I built a full-stack network diagnostics and security dashboard using FastAPI, PostgreSQL, React, and TypeScript. It runs authorized network checks, flags issues, and includes safeguards for scan authorization and target validation.

At Capital University of Science and Technology (CUST), I delivered programming and software development laboratories to undergraduate students. I also supported network security assessments at Government College Women University Sialkot and analyzed blockchain transaction records at Webacy.

My research on prompt injection and adversarial evaluation was accepted for presentation at AISec 2026, an ACM CCS Workshop. I’ve also developed an LLM security framework and a benchmark of 250 prompt-injection test samples.

Experience

Work history, roles, and key accomplishments

Lab Instructor

Capital University of Science and Technology (CUST)

Sep 2025 - Jul 2026 (10 months)

Delivered programming and software development laboratories to 300+ undergraduate students, covering programming, OOP, web development, and computer organization. Supported debugging, testing, Linux-based workflows, and secure coding through hands-on instruction.

Programming Object Oriented Programming Web Application Development Computer Organization Assembly Language Debugging Testing Linux Secure Coding

Network Engineering Intern

Government College Women University Sialkot

Dec 2024 - Jun 2025 (6 months)

Supported network security, troubleshooting, vulnerability assessment, and infrastructure security hardening. Performed network and application security assessments using Nmap, Nikto, Burp Suite, and Wireshark, and documented remediation recommendations.

Network Security Troubleshooting Vulnerability Assessment Nmap Nikto Burp suite Wireshark Security Hardening

Data Annotator

RWS

Apr 2023 - Oct 2024 (1 year 6 months)

Performed structured data annotation and quality control for AI and machine learning datasets.

Data Annotation Quality Control AI Machine Learning

Web3 Security Data Analytics Intern

Webacy

Jul 2024 - Sep 2024 (2 months)

Analyzed 10,000+ blockchain transaction records to identify anomalies, security risks, and suspicious activity. Developed risk-scoring analyses and dashboards to communicate security findings.

Blockchain Analytics Data Analysis Risk Scoring Dashboarding Security

Machine Learning Intern

Eziline Software House Pvt. Ltd.

Jul 2023 - Sep 2023 (2 months)

Developed machine learning solutions using Python, scikit-learn, and TensorFlow for classification and security-related problems. Built a spam classification model achieving 98.6% accuracy and a credit card fraud detection pipeline achieving 95% recall.

Python scikit learn TensorFlow Machine Learning Classification Fraud Detection