Help & Supportcareers@gravityer.com
AI Engineer with less than a year in machine learning & data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year BS AI student with research experience in NLP, machine learning, and AI security. Built 14-stage NLP system with 91.5% accuracy. Published research on Whisper ASR adversarial attacks. HEC-funded research assistant.
Khwaja Fareed University Of Engineering & Information Technology
ARTIFICIAL INTELLIGENCE
September 11, 2023 – June 30, 2027
KFUEIT, RYK
Research Assistant
September 13, 2025 – Present
Rahim Yar Khan, Punjab, Pakistan
Elevvo
MACHINE LEARNING TRACK
July 25, 2025 – August 25, 2025
Cairo, Cairo Governorate, Egypt
Developers-Hub
DATA SCIENCE & ANALYTICS
June 10, 2025 – July 26, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Heart Disease Prediction
June 30, 2026 – Present
Designed and deployed a heart disease prediction system using Python, Machine Learning, and Flask. Performed data preprocessing and applied classification algorithms including Random Forest, Logistic Regression, and Decision Trees. Evaluated model performance with Accuracy, Precision, and Recall, and integrated a Flask web app to provide instant, reliable predictions based on patient health data. The project demonstrates how AI can support early detection and preventive healthcare decision-making.
View ProjectEid Sales Analysis
June 30, 2026 – Present
I explored Eid sales patterns by performing EDA in Python. Using Pandas I handled missing values and outliers, then crafted clear visual dashboards with Matplotlib and Seaborn to highlight customer demographics, purchasing behavior, and regional performance. This analysis offers actionable recommendations to boost sales and optimize product targeting. Tools: Jupyter Notebook, Python, Pandas, Matplotlib, Seaborn
View ProjectNLP Question Generation System (NLP-QGS)
October 11, 2025 – June 20, 2026
Under the guidance of Mr. Safdar Hussain, Artificial Intelligence, KFUEIT. Designed a complete 14-stage NLP pipeline for automatic question generation from English text. Achieved 91.5% tense recognition accuracy across all 12 English tenses. Engineered dual-strategy generation (rule-based + T5 neural) to balance speed and quality. Integrated grammar correction (CoEdit-Large) and scoring (CoLA-BERT); achieved 0.91/1.00 average grammar score. System generates 15,800+ questions from 1,000 sentences in 45 minutes. Tools: Python, spaCy, Hugging Face Transformers, PyTorch, scikit-learn
View ProjectEthical Framework for Artificial Intelligence (AI) in Pakistan: An Islamic and Moral Perspective
September 13, 2025 – June 20, 2026
Selected through formal university committee for HEC-funded national research project. Collaborated with PhD and MS-level researchers on AI ethics framework development. Performed data collection, preprocessing, and exploratory analysis using Python. Assisted in literature review and prepared research documentation for PI and ORIC. Bridged technical AI concepts with ethical considerations for interdisciplinary impact.
View ProjectMachine Learning Specialization
DeepLearning.AI (Coursera)
June 25, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales analysis to heart disease prediction and advanced NLP, indicates a broad interest in applying AI/ML across different domains. Their involvement in an AI ethics research project aligns with a responsible and ethical approach to AI development, which is a positive cultural fit. The academic and personal projects, along with internship experience, show a proactive and self-driven individual. However, the experience level is still early career, which might require mentorship in a senior research role.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration and communication skills through their international remote internship and participation in a research project with PhD and MS-level researchers. Their proactive approach to learning and contribution to a HEC-funded project indicates a good work attitude and ability to handle complex tasks. The candidate's curiosity and fast learning ability suggest adaptability and a growth mindset, which are valuable for an AI ML Research Engineer role.