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AI Engineer with less than a year in ETL pipelines, workflow orchestration, and RAG systems.
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BS Artificial Intelligence graduate (NUCES-FAST) with hands-on experience designing ETL pipelines, orchestrating workflows with Airflow and Prefect, and loading structured data into PostgreSQL databases. Built production-grade pipelines handling large-scale datasets across multiple projects.
National University of Computer and Emerging Sciences (FAST-NU), Karachi
Bachelor of Science · Artificial Intelligence
August 1, 2022 – June 30, 2026
Karsaaz EBS
AI/ML Intern
July 1, 2025 – October 1, 2025
India
AWS-Deployed RAG Support Agent
June 1, 2026 – Present
Engineered a Dockerized ETL pipeline using Apache Airflow to extract hourly weather and air quality data (Open-Meteo API) for 320+ locations across Pakistan, transforming with Polars and loading into TimescaleDB hypertables for time-series querying. Implemented data quality validation via a verify_load DAG task with automated diagnostics and exponential backoff retry logic (up to 4 retries per city) to ensure pipeline reliability and data integrity. Integrated a FastAPI-served LangGraph supervisor-agent pipeline (Groq/Llama-3) enabling natural-language querying and automatic chart generation via custom text-to-SQL tools.
View ProjectPakistan Weather & AQI ETL Pipeline
June 1, 2026 – Present
Engineered a Dockerized ETL pipeline using Apache Airflow to extract hourly weather and air quality data (Open-Meteo API) for 320+ locations across Pakistan, transforming with Polars and loading into TimescaleDB hypertables for time-series querying. Integrated a FastAPI-served LangGraph supervisor-agent pipeline (Groq/Llama-3) enabling natural-language querying and automatic chart generation via custom text-to-SQL tools.
View ProjectIMDb Data ETL Pipeline
June 1, 2026 – Present
Designed an automated Python ETL pipeline to ingest, transform, and load large-scale IMDb datasets (7 TSV files, 8-table star schema) into a Supabase PostgreSQL database using Pandas and Prefect for orchestration.
View ProjectRNA 3D Structure Prediction (Final Year Project)
June 1, 2026 – Present
Built a template-based ML pipeline using RNA TorsionBERT to extract torsion angle features and optimize predicted 3D structures against covalent and hydrogen bond geometry constraints.
Roman Urdu Hate Speech Detection
June 1, 2026 – Present
Fine-tuned a Transformer-based classifier (Hing-BERT) for Roman Urdu toxicity detection with custom NLP preprocessing pipelines, achieving 93% accuracy and 0.96 F1-score.
Associate Data Engineer in SQL
DataCamp
June 1, 2026 – Present
Intermediate SQL
DataCamp
June 1, 2026 – Present
Kaggle × Google Cloud GenAI Intensive (5-Day)
Kaggle
June 1, 2026 – Present
Prompt Engineering
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG systems to bioinformatics (RNA 3D Structure Prediction) and hate speech detection, indicates a broad interest in AI applications. Participation in Kaggle competitions and multiple certifications shows a strong drive for continuous learning and engagement with the AI community. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by diverse personal projects and certifications. The internship experience suggests an ability to collaborate and contribute to production systems. The detailed project descriptions indicate good communication of technical work.