Sadaqat H

AI Engineer – Agentic AI & Machine Learning

Kawiish • Vollzeit

Apr 2025 - Feb 2026 • 10 mos

I bring hands-on experience building and deploying end-to-end machine learning and AI systems for real business use cases. I've worked as a Data Scientist developing NLP and computer vision models, engineering features, tuning hyperparameters, and evaluating performance using precision, recall, and F1-score. I integrate models into live web applications using Flask and FastAPI, turning research-stage ideas into systems that run reliably under real traffic. Beyond traditional ML, I focus on agentic AI and generative AI — building AI agents that connect large language models to real business tools, automate workflows, and handle tasks end-to-end. I combine strong ML fundamentals with modern AI engineering to deliver systems that create measurable business impact, not just impressive demos.

Data Scientist & Machine Learning Engineer

DevEntia Tech • Vollzeit

Feb 2024 - Dec 2025 • 1 yr 10 mos

Worked as a Data Science Intern and Machine Learning Engineer delivering end-to-end AI and predictive analytics solutions. Engineered 8+ automated ETL pipelines using Python and SQL to process 100K+ daily records with data validation, reducing data preparation time by 60%. Developed LSTM and ensemble ML models (Random Forest, XGBoost) for sales forecasting and customer churn prediction, improving accuracy by 23% and reducing churn by 15%. Built NLP sentiment analysis pipelines with BERT to process 50K+ reviews, providing actionable business insights. Deployed ML models as REST APIs using Flask and Docker with CI/CD pipelines and production monitoring, serving 50K+ daily predictions with 99.5% uptime. Applied feature engineering, hyperparameter tuning, model evaluation (precision, recall, F1-score, ROC AUC), and SHAP for explainability. Delivered scalable, production-ready machine learning solutions to optimize business performance and decision-making.