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AI Engineer with 1+ years in Machine Learning & Cybersecurity
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI engineer intern with hands-on experience in Python, JavaScript, and AI frameworks such as TensorFlow and Hugging Face Transformers. Built and deployed an ML-powered security layer with high detection accuracy and automated content processing pipelines to enhance system efficiency. Comfortable owning projects end-to-end-scoping, testing, documenting, and shipping production-ready code. Self-starter with a passion for reliable AI systems and clear technical communication.
National University of Sciences and Technology
BS · Computer Science
August 1, 2023 – June 30, 2027
Punjab College
Higher Secondary School Certificate
June 1, 2021 – May 31, 2023
Army Public School (APS)
Secondary School Certificate (SSC)
June 1, 2019 – May 31, 2021
National University of Sciences and Technology (NUST) & QuantumRonics
Cybersecurity Intern
December 1, 2025 – Present
India
NUST Content & Knowledge Management Department
Digital Solutions Intern
October 1, 2025 – December 31, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Agristreams, National Science & Technology Park (NSTP), Islamabad
AI & Technology Intern
June 1, 2025 – August 31, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Akhuwat Foundation
Digital Literacy Instructor
September 1, 2024 – January 31, 2025
India
University of Management & Technology (UMT), Lahore
Cybersecurity Research Associate
June 1, 2024 – August 31, 2024
Lahore, Punjab, Pakistan
Credily - AI-powered network for your personal life
June 1, 2026 – Present
Developed end-to-end sentiment analysis and recommendation pipeline using Cloud NLP API and React, incorporating prompt optimization and Git-based version control Tools: React, Tailwind, Cloud NLP API, Node.js, Express, Cloudinary
View ProjectAI-Driven Decentralized Traffic Routing Simulator
June 1, 2026 – Present
Traffic routing simulator combining optimization algorithms (Dijkstra, GA, VNS), ML-based congestion prediction, and Ethereum smart contracts for tamper-proof on-chain decision auditing. Tools: Python, FastAPI, Streamlit, Web3.py, Solidity, OSMnx, NetworkX, Machine Learning
View ProjectAI-Based Web Application Firewall (AegisVault)
June 1, 2026 – Present
ML-driven security system for real-time detection of malicious HTTP requests using advanced feature engineering across combined datasets to minimize false positives. Tools: Python, scikit-learn, Flask, React, Node.js, REST APIs, Git, automated testing
View ProjectMachine Learning and Deep Learning Specialization by Andrew Ng
Coursera
June 1, 2026 – Present
Advanced IoT and Digital Transformation
Cisco Networking Academy
June 1, 2026 – Present
A Practical Introduction to Quantum-Safe Cryptography
IBM
June 1, 2026 – Present
Capture the Flag (CTF) Cybersecurity Challenges
CryptoHack.org
June 1, 2026 – Present
Quantum Threats to the InterPlanetary File System: A Systematic Vulnerability Analysis and Post-Quantum Migration Framework
23rd IEEE International Conference on Frontiers of Information Technology (FIT 2026)
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from cybersecurity to traffic simulation and sentiment analysis, indicates a broad interest and adaptability. The academic and personal projects, combined with internships, show a proactive approach to learning and applying skills. The leadership role in ACM and the Digital Literacy Instructor position suggest a collaborative and community-oriented mindset. The focus on AI and cybersecurity aligns well with the target role of an AI Engineer, particularly in areas requiring robust and secure AI systems.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, technical writing, collaboration, research, and adaptability through project descriptions and internship roles. The experience as a Digital Literacy Instructor also highlights communication and teaching skills. The ACM Student Chapter leadership role indicates initiative and teamwork. These soft skills are valuable for an AI Engineer role, especially in collaborative and evolving environments.