AI Engineer with 1+ years in scalable data pipelines, RAG, and AI/ML integration.
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Data Engineer with hands-on experience designing and optimizing scalable data pipelines, ETL workflows, and real-time streaming systems. Proficient in Apache Kafla, PySpark, Apache Airflow, and SQL-based data transformation. Experienced in building retrieval-augmented generation (RAG) pipelines, automating data-intensive workflows, and integrating AI/ML models into production environments.
Ghulam Ishaq Khan Institute of Engineering Sciences & Technology (GIKI)
Bachelor of Science · Data Science
August 1, 2021 – June 30, 2025
CareCloud (MTBC)
Junior AI / Data Engineer
May 1, 2025 – Present
Rawala Kot, Azad Kashmir, Pakistan
Techlogix
Data Analyst Intern
July 1, 2024 – August 31, 2024
Lahore, Punjab, Pakistan
Real-Time Voting Platform
June 24, 2026 – Present
Engineered an event-driven real-time data pipeline using Apache Kafka for message streaming and Spark Structured Streaming for vote processing and aggregation. Built live dashboards in Streamlit with SQLite persistence, handling 1,000+ events/second with sub-second latency.
Customer360 Analytics Dashboard
June 24, 2026 – Present
Designed end-to-end data pipelines integrating Python-based ETL scripts with SQL Server for customer purchase analytics. Developed dynamic Power BI dashboards with DAX measures for real-time KPI tracking and business intelligence.
Shop Insights Statistical Data Analysis
June 24, 2026 – Present
Conducted EDA on retail sales data, identifying business trends and customer behavior patterns using statistical methods.
Qurify - AI Quran Chatbot (FYP)
June 24, 2026 – Present
Built a Transformer-based NLP pipeline with retrieval-augmented generation for context-aware Quranic verse retrieval and explanation. Fine-tuned Flan-T5 on domain-specific data, achieving improved contextual accuracy over baseline models.
Laptop Advisor – ML Recommendation System
June 24, 2026 – Present
Developed price prediction models and content-based recommendation engine using feature engineering and Scikit-learn pipelines.
AWS Certified Cloud Practitioner
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of applications, from real-time voting platforms to customer analytics and AI chatbots, indicating adaptability and a broad interest in data-driven solutions. The academic background in Data Science and professional experience as an AI/Data Engineer align well with an AI Engineer role, suggesting a strong cultural fit for a technically driven environment focused on innovation and data utilization.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience highlight a results-oriented approach, with quantifiable achievements in improving retrieval accuracy, reducing processing time, and automating workflows. This indicates a strong operational fit and a proactive problem-solving mindset. The academic project (Qurify) also shows initiative in applying advanced AI concepts.