Experience

August 2026 – Present · Montréal, Canada

• ▹Researching trustworthy AI agents: safety, reliability, and evaluation of LLM-based agentic systems.
• ▹Extending my AI4SE work on multi-LLM ensembles for requirements analysis.

August 2026 – Present · Remote

• ▹Developing full-stack agentic AI systems for governmental entities: architecture, implementation, and deployment.
• ▹Advising on the enterprise data platforms and Medallion ETL estate I built as Senior Full Stack Engineer.

February 2026 – July 2026 · Dubai, UAE

• ▹Served as a systems architect and forward-deployed engineer, delivering end-to-end data solutions from initial client requirements to production deployment.
• ▹Worked directly with 33 entities, leading technical discussions, troubleshooting platform issues, and scoping new agentic AI implementations.
• ▹Owned the full lifecycle across architecture design, development, deployment, and post-production support.
• ▹Rearchitected the core data ingestion system by replacing legacy SSIS pipelines with SqlBulkCopy, achieving a 120x throughput improvement.
• ▹Designed a Medallion architecture (Bronze/Silver/Gold) powering scalable ETL workflows and Power BI reporting.
• ▹Led deployments across Azure, IIS, and SQL Server for enterprise production systems.

November 2025 – February 2026 · Dubai, UAE

• ▹Developed full-stack applications using .NET/C# and Python to deliver scalable enterprise solutions.
• ▹Collaborated with cross-functional teams to design, implement, and deploy production software systems.
• ▹Built modern web and backend services to support business operations and client needs.

July 2025 – November 2025

• ▹Architected and developed a comprehensive Quality Control System using C#/.NET 9, Blazor Server, and SQL Server, replacing manual production-floor testing processes with an integrated kiosk-based solution supporting 500+ concurrent users.
• ▹Designed microservices architecture with three core services: Blazor WebAssembly frontend, ASP.NET Core Web API backend, and ERP integration layer implementing Clean Architecture patterns and CQRS for scalable enterprise solutions.
• ▹Built anti-corruption layer over legacy WinMan ERP system, creating secure APIs for product data management, user authentication, and real-time data synchronization with ProtectedBrowserStorage and JWT authentication.
• ▹Optimized database performance achieving <100ms P95 latency for cached requests through multi-level caching (in-memory + Redis), complex SQL query optimization, and strategic indexing across manufacturing, inventory, and quality control datasets.
• ▹Implemented advanced UI/UX features including dark mode persistence, real-time search with auto-category selection, QR/Barcode scanning, and responsive dashboard displays with proper accessibility and cross-browser compatibility.
• ▹Managed CI/CD pipelines using Bitbucket, .NET Aspire orchestration, and Docker containerization for seamless deployments across development, staging, and production environments.
• ▹Developed comprehensive error handling and logging systems, implemented unit/integration testing, and created detailed technical documentation for enterprise-grade quality control operations.

March 2025 – May 2025

• ▹Architected and built a full-stack robotics control and animation platform for the Spot robot, enabling real-time teleoperation and sophisticated keyframe editing for choreographers and engineers.
• ▹Increased UI responsiveness and reduced CPU load by over 90% by identifying and resolving a critical performance bottleneck in the animation loop, optimizing the update rate from an inefficient 1000Hz to a fluid 60Hz in a pull request merged by the BD AI Institute team.
• ▹Engineered a high-performance backend service using FastAPI to serve as the real-time bridge between the web interface and the Spot ROS2 driver, translating user inputs into direct, low-latency hardware commands.
• ▹Developed a comprehensive control interface in React that exposed all of Spot's arm and body joints, and built a separate, advanced keyframe editor for creating and managing complex, named animation sequences.

February 2025 – May 2025 · Abu Dhabi, UAE

• ▹Collaborated with world-renowned physicist and ballerina Dr. Merritt Moore to engineer and demonstrate pioneering human-robot interaction systems, bridging the gap between advanced robotics and the creative arts.
• ▹Engineered a novel, high-performance teleoperation system for the xArm6 robotic arm, using a depth camera for real-time hand tracking. The performance-critical components were written in Cython to achieve near-zero latency, enabling a fluid and intuitive human-robot connection.
• ▹Developed and integrated a robust, real-time collision avoidance algorithm, ensuring the safety of the hardware and its environment during complex, high-speed movements.
• ▹Adapted and deployed the teleoperation framework across multiple robotic platforms, including the Franka Research 3 and Universal Robotics arms, demonstrating versatile hardware integration and API proficiency.
• ▹Programmed an autonomous navigation and social interaction routine for the PAL Robotics TIAGo, enabling it to patrol a venue and engage with attendees.
• ▹Pioneered and executed a live public demonstration where a Franka Research 3 robot performed intricate painting and choreographed dance routines, controlled in real-time at Harvard ArtLab.
• ▹Integrated a custom Augmented Reality (AR) interface for the live teleoperation, showcasing an advanced, intuitive method for human-robot interaction (HRI).

February 2024 – August 2024 · Abu Dhabi, UAE

• ▹Collected, processed, and analyzed 1,437,000+ audio spectrogram images using TensorFlow, Keras, and CUDA, achieving a 50% reduction in processing time.
• ▹Optimized data pipelines using Pandas, resulting in a 35% improvement in data flow efficiency.
• ▹Deployed machine learning models in high-performance computing (HPC) environments using Singularity, reducing deployment time by 30%.
• ▹Conducted in-depth data analysis and visualization using Numpy and Matplotlib, leading to a 25% increase in actionable research insights.
• ▹Pioneered innovative techniques for visualizing sonic data and automated key data preprocessing workflows, reducing manual intervention by 40%.

June 2024 – July 2024

• ▹Developed and maintained robust RESTful APIs and endpoints using JavaScript to facilitate seamless data communication between various microservices.
• ▹Leveraged version control systems like Git and platforms like GitHub to collaborate effectively with senior developers.
• ▹Conducted thorough testing and debugging of APIs to ensure reliability and responsiveness.

August 2023 – December 2023

• ▹Enhanced 3DMHD benchmark simulation performance by 40% by leveraging C++, Python, and MPI.
• ▹Improved GCP on-prem cluster utilization and job scheduling efficiency by 25% by implementing performance tuning and intelligent workload distribution with sbatch scripting.
• ▹Championed code optimization, GPU utilization, and parallel computing best practices.

May 2023 – August 2023

• ▹Drove operational efficiency and accelerated AI adoption for a global energy technology company.
• ▹Spearheaded the implementation of Agile methodologies, including Scrum, to streamline project workflows, resulting in a 30% boost in productivity across business units and ensuring timely software delivery.
• ▹Conducted in-depth research on generative AI trends, producing data-driven reports for executives that informed strategic decision-making and ultimately increased operational efficiency by 40% through successful AI implementation.
• ▹Collaborated with international teams to implement AI tools, analyze competitive data, and enhance knowledge sharing in sustainability and the energy industry, leading to a 45% reduction in manual tasks.
• ▹Established a robust system for tracking and analyzing performance metrics for new ventures using Scrum, fostering continuous improvement and empowering agile decision-making that contributed to a 30% increase in team efficiency.