Dec 2025 – Present · 5 mos

• Building the voice infrastructure for MENA.

Sep 2025 – Present · 8 mos · Delaware, United States

• Building the OS for human performance

Jun 2024 – Aug 2024 · 2 mos · Waterloo, Ontario, Canada

• Worked under the supervision of Professor Tamer Özsu to develop innovative methodologies for integrating graph data structures with LLMs, enhancing model interpretability and performance
• Engineered a comprehensive dataset generation pipeline, producing over 1,000 diverse graph structures using the Erdos-Renyi algorithm
• Developed a rule-based serialization algorithm, translating complex graphs into Graph Description Language (GDL) with 10+ descriptive types, facilitating cross-domain applications in logistics, telecommunications, and social networks
• Designed a synthetic prompt generation model, creating 500+ unique prompts per context (e.g., social, political networks) for model training

May 2024 – Present · 2 yrs · Toronto, ON

• Building everything and anything AI :)

Dec 2023 – May 2024 · 5 mos

• Integrated advanced behavioral planning algorithms into a digital twin environment, leveraging CARLA's sensor suite, including RGB cameras, LiDAR, and radar, to enhance decision-making processes in autonomous driving environments, resulting in a 40% increase in simulation fidelity
• Engineered an automated data pipeline that generated a comprehensive KITTI dataset from CARLA's sensor data, including bounding boxes and point clouds, optimizing training efficiency for reinforcement learning models by 50%
• Integrated Carlafox and Foxglove into a Dockerized JupyterHub environment, streamlining the testing and validation of 3D object detection models, leading to a 30% reduction in development time and a 25% improvement in spatial data accuracy.

Jul 2022 – Aug 2022 · 1 mo

• Microsoft Advanced Technology Labs (ATL).
• Software Development Engineering Intern.
• ALPS-CT Team.
• Utilized Microsoft Azure to design and implement an end-to-end Personally Identifiable Information (PII)-redaction service on videos
• Developed and tested a UI for the PII-redaction pipeline through Flask, HTML, and CSS (bootstrap)
• Architected a timestamp-to-speech matching system using Azure’s Cognitive Service (speech sdk)
• Built a video-transcription module for real-time processing of audio through Azure Cognitive Services

Jun 2022 – Jul 2022 · 1 mo

• Designed and constructed a radar sensor-to-Raspberry Pi system for data collection and processing
• Built a real-time frequency wave monitoring module in Python and remotely developed on it through an SSH client
• Developed a ML model for classification of wave data with over 97% accuracy and almost no overfitting or underfitting
• Deployed and triggered a classification model on AWS by requesting data from an S3 bucket and training through AWS Sagemaker

Jul 2021 – Aug 2021 · 1 mo

• Siemens Factory Automations Advanced AI Group
• Developed an end-to-end ML training pipeline for acoustic monitoring of machinery and equipment using Librosa
• Trained various models by extracting MFCCs from audio data and passing them through a CNN
• Leveraged Python to implement a publish-subscribe Message Queuing Telemetry Transport communication system