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AI Engineer with 1+ years in Machine Learning & NLP
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience building AI systems through research-driven projects and applied engineering. I have worked across machine learning, NLP, and LLM-based applications using both PyTorch and TensorFlow, with experience in Dockerized and cloud-based deployments. My portfolio includes intelligent assistants, computer vision systems, automation tools, and cost-efficient chatbot architectures. I am dedicated to continuously advancing my research and engineering skills, with the long-term goal of driving innovation and contributing to the global applied AI ecosystem.
University of Karachi
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
Viral Tech
AI ENGINEER
August 1, 2025 – Present
India
TechThrone Innovations Pvt. Ltd.
AI ENGINEER
May 1, 2025 – July 31, 2025
Karachi, Sindh, Pakistan
CodeNexo
Jr. AI ENGINEER
January 1, 2025 – April 30, 2025
Karachi, Sindh, Pakistan
The Disrupt Labs
Python and Computer Vision Development
June 1, 2024 – October 1, 2024
Karachi, Sindh, Pakistan
Smart City Lab (NCAI)
Artificial Intelligence & NLP
December 5, 2023 – May 30, 2024
Karachi, Sindh, Pakistan
UK License Plate Detection and Recognition System
May 25, 2026 – Present
Real-time vehicle license plate detection and recognition system using YOLOv8 for accurate plate extraction and number reading, designed for traffic signal monitoring applications.
View ProjectLegal Mind AI - RAG-Powered Legal Document Assistant
May 25, 2026 – Present
AI system that helps lawyers instantly extract accurate insights from large legal documents using natural language queries, built with Retrieval-Augmented Generation architecture.
View ProjectVisual Question Answering System
May 25, 2026 – Present
Deep learning system that interprets images and answers natural language questions using combined computer vision and NLP techniques.
View ProjectRealtime Face Recognition Attendance System
May 25, 2026 – Present
Automated attendance system using real-time facial recognition with Firebase integration, live video feedback, and downloadable reports.
View ProjectVigil - AI Governance Dashboard
May 25, 2026 – Present
Open-source LLM observability and safety platform featuring a Model Registry, real-time audit logging, automated PII and toxicity detection, live cost tracking for 250+ models, NIST AI RMF-aligned compliance PDF reports, and a Python SDK. Built with FastAPI, React, PostgreSQL, Redis, Docker, and Microsoft Presidio.
View ProjectArtificial Intelligence on Microsoft Azure
Microsoft
May 1, 2026 – Present
Python for Data Science, AI & Development
IBM
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong passion for AI, evidenced by numerous personal projects covering diverse areas like LLM governance, RAG, computer vision, and NLP. This breadth of interest within AI suggests a curious and adaptable mindset. Their professional experience, though relatively short, is entirely focused on AI engineering, demonstrating clear career alignment. The inclusion of certifications and a final year project focused on AI further reinforces a commitment to continuous learning and staying current with industry trends, which is a strong cultural fit for a dynamic tech environment. The open-source 'Vigil' project also indicates a potential interest in community contribution and responsible AI practices.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative, a continuous learning mindset, and problem-solving abilities through their diverse projects and research. Operational fit is excellent, with experience in deploying scalable applications, automating workflows (n8n, Zapier), and managing project tasks (ClickUp), indicating an ability to bring AI solutions from concept to production.