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AI Research Engineer with less than a year in AI/ML, Python, and data processing for application dev
Final-semester Software Engineering student with hands-on experience in Python, machine learning, data preprocessing, FastAPI, and AI application development. Built practical projects involving data cleaning, NLP, candidate-job matching, analytics dashboards, and backend APIs. Comfortable working with structured and unstructured data, model-oriented workflows, and data-driven problem solving, and currently looking for an opportunity to contribute to real-world data engineering and AI systems. Exploring agentic AI workflows, prompt engineering, and LLM-based application development using modern AI tools.
COMSATS University Islamabad
BS Software Engineering · Software Engineering
August 1, 2023 – Present
Concordia College Sahiwal-Pakistan
Intermediate in Pre-Engineering · Pre-Engineering
June 1, 2020 – May 31, 2022
Misali Zakariya Science School, Kameer - Pakistan
Matriculation · Science
June 1, 2018 – May 31, 2020
AI Health Assistant
June 24, 2026 – Present
Built an AI health assistant to predict early heart attack risk using heartbeat data and symptoms. Developed and tuned ML/DL models to estimate stress and fever probability. Used Python with Pandas and NumPy for data preprocessing and feature engineering.
AI Resume Screening System
June 24, 2026 – Present
Built an AI-powered resume screening system using Python, FastAPI, NLP, and machine learning. Processed and analyzed structured and unstructured candidate/job data for automated screening and ranking. Implemented ATS scoring, keyword extraction, and semantic matching to improve candidate-job alignment. Designed backend APIs and workflow logic for automated shortlisting and decision support.
AI Garment Fit Prediction System
June 24, 2026 – Present
Developed an AI-based garment fit prediction app with real-time analysis and visualization. Implemented size recommendation using body measurements and ML models. Built an interactive UI for fit analysis and 3D preview.
Email Spam Classifier (Machine Learning)
June 24, 2026 – Present
Built a machine learning model to classify emails as spam or not spam using Naive Bayes and TF-IDF vectorization. Preprocessed email text data and optimized model accuracy using feature selection.
Language Translator App
June 24, 2026 – Present
Built a translation application that allows users to input text and select source/target languages using Google Translate API. Added text-to-speech and copy functionality for better user experience.
Cultural Fit Analysis
The candidate's projects are diverse within the AI/ML domain, ranging from health assistants to resume screening and garment fit prediction, indicating adaptability and a broad interest in applying AI. The target role 'AI Research Engineer' aligns well with the candidate's project experience in developing and tuning ML/DL models and exploring LLM applications. However, the lack of professional experience and a current student status might indicate a need for mentorship and structured team environments.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving', 'Critical Thinking', 'Communication', and 'Project Management' as proficiencies. The project descriptions are clear and concise, indicating good communication skills. The focus on practical AI applications suggests a results-oriented work attitude.