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AI Engineer with less than a year in AI/ML & Web Development
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Assessing your cultural and operational fit
Motivated Computer Science student (Expected 2026, NU-FAST Islamabad) with hands-on expertise in Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI systems. Practical experience in PyTorch, CUDA, and parallel computing (OpenMP, MPI). Completed internships in AI/ML at Developers Corporation Hub and Web Development at Khuda Bakhsh & Co. Strong leadership background as Head of Security at FAST LADS. Passionate about building intelligent, real-world solutions through cutting-edge AI and software engineering.
NU-FAST
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
Khuda Bakhsh & Co.
Web Developer Intern
January 1, 2024 – June 30, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Developers Corporation Hub
AI / ML Engineer Intern
January 1, 2024 – June 30, 2024
Islamabad, Islamabad Capital Territory, Pakistan
QanoonAI – AI-Powered Legal Assistant for Pakistan
January 1, 2025 – June 30, 2026
Developed an AI-powered bilingual (Urdu/English) legal assistant to make Pakistani law accessible to the general public, addressing high legal costs and language barriers. Designed and implemented a full Retrieval-Augmented Generation (RAG) pipeline: query embedding, semantic vector search (FAISS), context injection into LLM, and hallucination-controlled response generation. Built the Legal Query Processing module with NLP-based language detection, intent recognition (Family/Criminal/Property law), Named Entity Recognition, and query-to-embedding conversion using Hugging Face models. Implemented Case Strength Estimation feature: compares user-submitted case facts against past court rulings using cosine similarity scoring and classifies strength as Low / Medium / High with reasoning. Developed English-to-Urdu contextual legal translation module with bilingual terminology mapping and optional back-translation verification. Built Legal Document Summarization module supporting PDF/text uploads, key section extraction, and bilingual summary generation. Architected a 4-layer system: Presentation Layer (React.js), Application Layer (FastAPI + JWT Auth), AI & Intelligence Layer (RAG System), and Data Layer (PostgreSQL + Vector DB + MinIO). Designed complete data model including User, Legal Document, Case Ruling, Legal Query, Case Strength Analysis, and Translation Record entities with ER diagrams, class diagrams, and sequence diagrams. Supervised by Mr. Saad Salman, Department of Computer Science, NU-FAST Islamabad.
Parallel & High-Performance Computing
January 1, 2024 – June 30, 2026
Implemented CUDA, OpenMP, and MPI programs to accelerate computation.
AI/ML Model Development
January 1, 2024 – June 30, 2026
Built and trained neural network models using PyTorch for classification and prediction tasks.
Network Simulation
January 1, 2024 – June 30, 2026
Designed and simulated computer networks using Cisco Packet Tracer; analyzed traffic with Wireshark.
Agentic AI Systems
January 1, 2024 – June 30, 2026
Developed prototypes featuring autonomous agents capable of multi-step reasoning and task execution.
Generative AI Exploration
January 1, 2024 – June 30, 2026
Experimented with LLMs, text generation pipelines, and prompt engineering workflows.
Web Application Development
January 1, 2024 – June 30, 2026
Created full front-end web projects using HTML, CSS, and JavaScript.
Database Systems
January 1, 2024 – June 30, 2026
Designed relational database schemas and wrote complex SQL queries for application back-ends.
Cultural Fit Analysis
The candidate's academic projects, particularly 'QanoonAI', show a strong inclination towards building socially impactful AI solutions, which aligns with a culture that values innovation and real-world application. Their diverse project portfolio, including HPC, Generative AI, and Agentic AI, indicates a broad interest in cutting-edge AI fields. The leadership role and participation in various workshops suggest a proactive and collaborative mindset, fitting well into a team-oriented environment. However, the lack of professional experience beyond internships might require some mentorship to fully integrate into a corporate cultural setting.
Soft Skills & Operational Fit
The candidate demonstrates strong project management and team leadership skills through their role as Head of Security at FAST LADS. Their participation in agile sprints during internships suggests an ability to work effectively in structured development environments. Problem-solving and quick learning abilities are also highlighted, which are crucial for an AI Engineer role. The detailed project descriptions indicate good communication skills in conveying complex technical work.