Hi, my name is
Marwan AbdElhameed.
Senior Software Engineer & AI Researcher
I'm Marwan AbdElhameed, a full-stack software engineer and AI4SWE researcher specializing in requirements engineering and machine learning. As a NYU Computer Science graduate (3.887 GPA, Cum Laude), I have published research in top conferences including ASE 2025 and Euromicro SEAA 2025. I build intelligent systems using Python, C#, .NET, React, and advanced AI/ML technologies, with expertise in multi-LLM ensembles and distributed systems.

01.About Me
Hello! I'm Marwan AbdElhameed, a Full Stack Engineer and AI/ML Engineer with expertise in software engineering, requirements engineering research, data analysis, and deep learning. I graduated from New York University with a Bachelor's degree in Computer Science (GPA: 3.887, Cum Laude) and have published research in AI and requirements engineering.
🎓 NYU Computer Science Graduate | 🔬 Published AI and Software Engineering Researcher | 💻 Full Stack Engineer
02.Education
Bachelor of Science in Computer Science
Minor in Interactive Media
GPA: 3.887 (Cum Laude)
Key Coursework:
Graduate Level
AI/ML & Data Science
Core Computer Science
Systems & Networks
Software Engineering
Graduate Level
AI/ML & Data Science
Core Computer Science
Systems & Networks
Software Engineering
03.Where I’ve Worked
Senior Full Stack Engineer @ D&V Herrmann Services
July 2025 - Present
- â–¹Architected 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.
- â–¹Designed 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.
- â–¹Built 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.
- â–¹Optimized 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.
- â–¹Implemented 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.
- â–¹Managed CI/CD pipelines using Bitbucket, .NET Aspire orchestration, and Docker containerization for seamless deployments across development, staging, and production environments.
- â–¹Developed comprehensive error handling and logging systems, implemented unit/integration testing, and created detailed technical documentation for enterprise-grade quality control operations.
Senior Full Stack Engineer
D&V Herrmann Services
- â–¹Architected 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.
- â–¹Designed 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.
- â–¹Built 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.
+4 more achievements
Open Source Software Engineer
Boston Dynamics
- â–¹Architected 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.
- â–¹Increased 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.
- â–¹Engineered 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.
+1 more achievements
Research Assistant
New York University Abu Dhabi
- â–¹Collaborated 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.
- â–¹Engineered 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.
- â–¹Developed and integrated a robust, real-time collision avoidance algorithm, ensuring the safety of the hardware and its environment during complex, high-speed movements.
+4 more achievements
Research Assistant
CITIES Center for Interacting Urban Networks
- â–¹Collected, processed, and analyzed 1,437,000+ audio spectrogram images using TensorFlow, Keras, and CUDA, achieving a 50% reduction in processing time.
- â–¹Optimized data pipelines using Pandas, resulting in a 35% improvement in data flow efficiency.
- â–¹Deployed machine learning models in high-performance computing (HPC) environments using Singularity, reducing deployment time by 30%.
+2 more achievements
Software Engineer Intern
AIREV HOLDING LIMITED
- â–¹Developed and maintained robust RESTful APIs and endpoints using JavaScript to facilitate seamless data communication between various microservices.
- â–¹Leveraged version control systems like Git and platforms like GitHub to collaborate effectively with senior developers.
- â–¹Conducted thorough testing and debugging of APIs to ensure reliability and responsiveness.
Research Assistant
NYU Tandon School of Engineering
- â–¹Enhanced 3DMHD benchmark simulation performance by 40% by leveraging C++, Python, and MPI.
- â–¹Improved GCP on-prem cluster utilization and job scheduling efficiency by 25% by implementing performance tuning and intelligent workload distribution with sbatch scripting.
- â–¹Championed code optimization, GPU utilization, and parallel computing best practices.
Project Manager Intern
Digital Energy
- â–¹Drove Operational Efficiency and Accelerated AI Adoption for Global Energy Technology Company.
- â–¹Spearheaded 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.
- â–¹Conducted 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.
+2 more achievements
Swipe to see more experiences
04.Things I've Built
Here are some of the projects I've worked on, from academic research to personal endeavors.
Featured Projects
- â–¹Architected intelligent SRS analysis platform integrating 3 LLM APIs with advanced aggregation strategies, achieving 95% consensus accuracy.
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- â–¹Built scalable REST API handling concurrent model inference requests, achieving 99% uptime.
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- â–¹Built full-stack app with user authentication, photo upload, and album management, increasing retention by 25%.
- +2 more features
- â–¹Developed finance management web app with interactive charts, increasing user engagement by 40%.
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- â–¹Engineered scalable data pipeline processing 100,000+ NYT articles monthly with 98% accuracy.
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- â–¹Launched meal suggestion app, attracting 1,000+ active users in three months.
- +2 more features
- â–¹Architected batch prediction system using Ray actors and TorchX, processing 250 requests per batch.
- +2 more features
- â–¹Engineered sequence-to-sequence model processing 220,000+ movie dialogue exchanges with nn.GRU and nn.Embedding.
- +2 more features
- â–¹Engineered computer vision model achieving 93.33% accuracy in object detection using MobileNet V1 SSD.
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- â–¹Developed distributed training system using PyTorch's DataParallel, achieving 1.92x speedup with 4 GPUs.
- +2 more features
- â–¹Fine-Tuned Mistral-7b achieving 35% accuracy on GSM8K dataset.
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- â–¹Architected multilingual RAG system with mBART-large-50 for cross-lingual content generation.
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Other Noteworthy Projects
05.Publications
ASE 2025 NIER
06.What's Next?
I'm currently seeking new opportunities and my inbox is always open. Whether you have a question or just want to say hi, I'll do my best to get back to you! Feel free to reach out via email at marwan@nyu.edu.