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AI Engineer with less than a year in ML systems and 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
CSE student (CGPA 3.77) who builds and deploys actual ML systems not just notebooks. From multi-agent AI pipelines to Power BI dashboards, my work has touched 400K+ real-world records across 2 internships and multiple live projects.
Riphah International University
B.S. Computer Systems · Computer Systems
N/A – June 30, 2027
HZ Software Solutions
Full Stack Developer Intern
January 1, 2026 – February 1, 2026
Pakistan
DevelopersHub Corporation
Cyber Security Engineer Intern
December 1, 2025 – February 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
AI-Powered Patient Risk Intelligence Platform
June 21, 2026 – Present
End-to-end readmission risk prediction platform on 25,000+ diabetic patient records (UCI dataset) XGBoost model with SHAP explainability, Streamlit dashboard, and FastAPI backend.
MediAgent Autonomous Clinical Decision Support System (FYP)
June 21, 2026 – Present
Built a 4-agent AI pipeline on 101,766 diabetic patient records — agents handle data cleaning, risk prediction (XGBoost, ROC-AUC: 0.68), clinical summary generation (LLAMA 3.3-70B), and PDF report export. Deployed live on Hugging Face Spaces with a Streamlit dashboard; used SHAP to explain model predictions to non-technical users.
Hospital Readmission Risk Power BI Dashboard
June 21, 2026 – Present
Built end-to-end Power BI dashboard on 25,000+ records with KPI cards (45.6% readmission rate), age-group risk chart, and gender comparison using DAX measures.
COVID-19 Country-wise Trend Analysis
June 21, 2026 – Present
Analyzed 553,000+ WHO records across 5 countries with 7-day rolling averages; identified Omicron peak (Jan 2022) — France peaked at 5,371 cases/million.
Mental Health & Depression Analysis
June 21, 2026 – Present
Analyzed 292,364+ mental health records; identified 50.5% treatment gap and flagged corporate sector as highest-risk group using Power BI KPI dashboards. Root cause analysis pinpointed social isolation as top stress driver.
Agentic AI Workshop
Unknown
June 1, 2026 – Present
Deep Learning (TensorFlow)
Unknown
June 1, 2026 – Present
Machine Learning (Python)
Unknown
June 1, 2026 – Present
Cybersecurity
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and internship experiences, suggests adaptability and a willingness to explore different technical domains. Their involvement in hackathons and virtual experiences indicates a collaborative spirit and a desire for continuous learning, which aligns well with a dynamic, innovation-driven culture. The focus on real-world problem-solving (e.g., clinical decision support, patient risk prediction) shows a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and project execution, as evidenced by multiple personal projects and certifications. Their ability to work with diverse datasets and deploy solutions suggests good problem-solving and execution skills. The academic background and project diversity indicate a strong drive and potential for growth within a technical team.