I build AI-powered products, intelligent systems, LLM applications, RAG pipelines, and machine-learning solutions that turn complex ideas into usable software.
ARTIFICIAL INTELLIGENCE
I am an AI/ML Engineer and AI Product Engineer focused on developing intelligent systems that bridge theoretical machine learning and production-ready software.
My work centers on designing end-to-end LLM applications, retrieval-augmented generation (RAG) pipelines, computer vision systems, and automated machine learning workflows. I build with an emphasis on system stability, low latency, and clear product ergonomics.
Lahore, Pakistan
Open to remote & on-site technical roles
AI/ML Engineer
B.S. Artificial Intelligence
Superior University (2024 — Present)
Hands-on technical internships building production backend services, distributed scan engines, and domain-specific RAG pipelines.
AZUNO TECHNOLOGIES
Contributed to SiteDNA security-auditing platform across 15+ parallel scan engines. Engineered CRM backend using Python & PostgreSQL and developed client-facing web application workflows.
SUPERIOR UNIVERSITY
Engineered specialized conversational chatbot utilizing Retrieval-Augmented Generation (RAG) over structured religious texts. Handled complete data preprocessing, vector retrieval, and inference.
Deep dive case studies showcasing architecture, data pipelines, model orchestration, and interface design.
EXPLORE ALL PROJECTSA multi-model educational intelligence platform that assesses real-time student mastery, personalizes interactive curricula, and dynamically generates conceptual evaluations.
An automated data intelligence platform that transforms raw datasets into cleaned, analyzed, trained, and explainable ML outcomes.
The systems, frameworks, and platforms I use to build intelligent products and production-ready AI software.
Foundational learning algorithms, statistical modeling, neural networks, and model fine-tuning.
Context-aware retrieval, prompt orchestration, and foundation model APIs.
Data ingestion, automated feature engineering, exploratory data analysis, and visualization.
Production backend services, RESTful API design, automated extraction, and reactive interfaces.
Modern AI development ecosystems, vector search engines, version control, and deployment pipelines.
Cloud deployment environments, relational storage engines, and container virtualization.
Rigorous industry examinations and verified training programs in Machine Learning, Artificial Intelligence, and Full-Stack Engineering.
Microsoft Azure
NOC Dot Institute
Nexskills · Arfa Technology Park
Rigorous degree curriculum focused on algorithmic complexity, mathematical optimization, machine learning, and artificial intelligence architectures.
Superior University·Lahore
KIPS College·Lahore
All 09 software artifacts organized into an architectural ledger with interactive preview inspection.
Specialized engineering for ambitious technical teams and intelligent products: