Jael Tegulwa

WORK HISTORY

EDUCATION

ABOUT JAEL TEGULWA

Senior Data Analytics Engineer and AI Architect specializing in Deep Learning, Explainable AI (XAI), and Enterprise Intelligence. I bridge the gap between complex statistical modeling and production-ready AI solutions that drive high-stakes decision-making.My portfolio includes the architecture of \"Sentinel Dispatch,\" a sophisticated emergency logistics engine. This system serves as a benchmark for my approach to AI, integrating Deep Neural Networks (DNN) with SHAP-driven interpretability and Agentic AI to provide transparent, real-time predictive analytics for municipal and industrial emergency response.I bring a strong foundation in Finance and Risk Modeling, with extensive experience designing end-to-end pipelines across financial and operational environments. From anomaly detection and fraud analytics to large-scale ETL automation in Snowflake and AWS, I translate raw data into scalable, executive-level strategy.Core SpecializationsMachine Learning and Deep Learning: DNNs, CNNs, and Predictive ModelingExplainable AI (XAI): Model Interpretability using SHAP and LIMEGenerative AI and Agents: LLM Orchestration, RAG Systems, and Agentic WorkflowsEnterprise Data Engineering: Cloud Data Warehousing (Snowflake and Databricks) and BI StrategyProduction Deployment: Building Interactive AI Dashboards and Real-time APIsTechnical ToolkitLanguages and Frameworks: Python (PyTorch, TensorFlow, Scikit-learn), SQL, LangChainData and Cloud: AWS, Snowflake, Databricks, PostgreSQLVisualization: Streamlit, Tableau, Power BI, Folium (Geospatial Mapping)Statistics: Time-Series Forecasting, Risk Intelligence, Experimentation FrameworksCurrently open to Senior Data Science and AI Engineering roles. I am specifically targeting opportunities offering visa sponsorship in the UAE, Qatar, Saudi Arabia, Canada, USA Australia, and Europe.