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Junior AI/ML Engineer Intern with less than a year in predictive modeling, RAG systems, and computer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science professional and Microsoft Azure AI Fundamentals (AI-900) certified with expertise in Python, Machine Learning, Deep Learning (PyTorch, TensorFlow), and Statistical Analysis. Experienced in building end-to-end ML pipelines from data preprocessing and EDA to model deployment. Proven track record in predictive modeling, RAG systems, computer vision, and data visualization using Tableau and Power BI.
City University of Science and IT, Peshawar
Bachelor of Science · Data Science
August 1, 2024 – Present
Code Celix
Machine Learning Engineer Intern
January 1, 2026 – March 1, 2026
India
Elevvo Pathways (UK)
Machine Learning Intern
August 1, 2025 – September 1, 2025
India
FBISE Examination Rules RAG Chatbot
June 1, 2026 – Present
• Built an intelligent RAG chatbot answering questions about FBISE examination rules using semantic search over a Qdrant vector database. Integrated Groq's Mixtral 8x7B LLM via LangChain for accurate, source-attributed responses. Tech stack: Streamlit, Qdrant Cloud, LangChain, Sentence Transformers (all-MiniLM-L6-v2).
Forest Cover Type Prediction
June 1, 2026 – Present
• 95.58% accuracy on a 581K-row dataset using Random Forest; XGBoost applied for feature importance analysis and benchmarking.
Loan Approval Prediction
June 1, 2026 – Present
• 97.2% accuracy binary classifier with regularization; evaluated using Precision, Recall, F1-Score, and ROC-AUC metrics.
Plant Disease Prediction - CNN Transfer Learning
June 1, 2026 – Present
• Deep learning model identifying plant leaf diseases (Healthy, Powdery Mildew, Rust) using MobileNetV2 transfer learning with TensorFlow. Achieved ~95% test accuracy with <50 ms Android inference. Exported Float16 TFLite model (4.57 MB) for mobile deployment via TensorFlow Lite.
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Data Analytics and Business Intelligence
DigiSkills
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
Stanford Online (Coursera)
June 1, 2026 – Present
Deep Learning
WorldQuant University
June 1, 2026 – Present
Full Machine Learning Course | Introduction to AI & Advanced Python Focus
Innovista / Learn Easy
June 1, 2026 – Present
Applied Data Science Lab
WorldQuant University
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG chatbots to plant disease prediction and traditional ML tasks, indicates a broad interest in AI/ML applications. The internships at Code Celix and Elevvo Pathways, coupled with numerous certifications, show a strong drive for continuous learning and professional development, which aligns well with a dynamic, growth-oriented culture. The target role of 'Junior AI/ML Engineer Intern' is well-aligned with the candidate's current experience level and demonstrated skills.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to collaborate on methodology documentation and work on end-to-end data workflows. The focus on measurable performance benchmarks and iterative testing indicates a results-oriented approach. However, without direct assessment data, specific soft skills like communication clarity, stress handling, or team collaboration cannot be definitively evaluated.