Ahmed Assy

- Built an agentic AI system using PydanticAI that gives 5,000+ engineers natural language access to complex automotive architecture data, removing the dependency on SQL experts for every new data question - Unified multiple internal data sources including databases, documents, APIs, and project tools into a single retrieval layer using ChromaDB and RAG, enabling faster and more informed decision making - Designed a validation framework that ensures correctness before execution, making the system reliable

- Modeled automotive functional architectures as weighted graphs and identified the most critical components, giving the team a clearer picture of where failures would have the highest impact - Built an automated pipeline to detect and merge redundant functions across architectures, reducing the complexity that engineers had to navigate manually - Delivered an interactive 3D visualization dashboard deployed to the internal portal, giving the whole team a shared tool for exploring and comparing architectur

- Analyzed financial datasets within the SAP product cost accounting unit, supporting reporting workflows across multiple departments - Identified and resolved data quality issues in production datasets before they reached reporting cycles - Worked closely with engineering and finance teams to translate data findings into actionable recommendations

- Taught programming fundamentals in MATLAB to students from Biopsychology and Neuroscience backgrounds - Ran weekly seminars, corrected assignments, and made technical material accessible to non-CS learners

- Built predictive models on credit card application data to improve approval accuracy and support product decisions - Developed an OCR pipeline to automate identity document verification, significantly reducing a previously manual process - Presented findings directly to senior stakeholders and contributed to shaping the team's credit risk strategy

- Assisted students in lab sessions for Data Structures, Android Development, and Network Protocols courses - Guided student teams through capstone projects involving mobile development and networking

- Monitored network infrastructure and handled customer reported issues, supporting system reliability across client accounts - Proactively flagged recurring technical issues before they escalated, contributing to faster resolution times

Data Science in Computational Neuroscience

Anomaly-based Intrusion Detection System using a one-dimensional Convolutional Neural Network.