IRAJ MINHAS

IRAJ MINHAS

Junior AI/ML Engineer

LahoreBachelors
Available immediately Open to any modeSoftware & IT

Junior AI/ML Engineer skilled in Python, LLMs, and RAG pipelines. Passionate about building intelligent, agent-driven automation and deep learning solutions.

About

Ambitious Junior AI/ML Engineer with comprehensive hands-on experience in Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Skilled in translating complex data into insights and developing high-performance machine learning, deep learning, and LLM-powered solutions. Recognized for a creative, problem-solving approach to innovative AI solutions. Currently focused on mastering Agentic AI to transition traditional workflows into intelligent, agent-driven automation systems.

Skills

PythonPandasNumPyMatplotlibScikit-learnTensorFlowXGBoostSeabornCC++HTML/CSSMachine LearningDeep LearningLLM IntegrationRAGNLPGitHubKubernetesN8N

Languages: English

Education

Bachelors of Business and Information Technology, Specialization in Information Technology

UNIVERSITY OF THE PUNJAB, LAHORE

2023 - 2027

Higher Secondary School Certificate (ICS-Physics)

STANDARD COLLEGE, LAHORE

2021 - 2023

Experience

AI Training Intern · Future Learning Center (FLC)

2025 (3 Months)

Covered topics such as Feature Engineering, Ensemble Learning, Deep Learning, Reinforcement Learning, Computer Vision, Attention Mechanism and N8N.

Projects

RAG-Powered Document Q&A System

Built an end-to-end Retrieval-Augmented Generation pipeline using LangChain, FAISS, and LLaMA 3.1 that converts PDFs into interactive chatbots with OCR support.

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AI Smart Museum Guide

Developed an AI-powered interactive museum guide using LLaMA 3.3 and Google Text-to-Speech for real-time multilingual audio narration and visitor interaction.

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Lung Cancer Detection System

Developed a multi-model deep learning pipeline using CNNs and VGG16 for automated image classification and real-time image augmentation.

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Intelligent Ransomware Detection System

Created an ML-powered forensic pipeline using cryptographic hashing and ensemble models with explainable AI (SHAP, LIME) for threat level classification.

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