Hi, my name is
Marwan AbdElhameed.
Software Engineer & Requirements Engineering Researcher
I specialize in software engineering, requirements engineering research, and data analysis with deep learning. Working with Python, Node.js, React, C#, and .NET to build intelligent systems. NYU Computer Science graduate (3.887 GPA, Cum Laude) with published research in AI and requirements engineering.

01.About Me
Hello! I'm Marwan AbdElhameed, a Senior 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 2024 - Present
- â–¹Develop full-stack applications using C#, .NET Core, Blazor (Web/MAUI), and SQL Server.
- â–¹Optimize database performance (queries, indexing, deadlock resolution).
- â–¹Co-Manage Bitbucket CI/CD pipelines and deployments.
- â–¹Implement unit/integration testing and troubleshoot bugs (WinMan, Kiosk apps, SSRS).
- â–¹Collaborate with frontend/backend teams on API integrations.
Senior Full Stack Engineer
D&V Herrmann Services
- â–¹Develop full-stack applications using C#, .NET Core, Blazor (Web/MAUI), and SQL Server.
- â–¹Optimize database performance (queries, indexing, deadlock resolution).
- â–¹Co-Manage Bitbucket CI/CD pipelines and deployments.
+2 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
DigitalEnergy.ai
- â–¹Spearheaded the implementation of Agile methodologies, including Scrum, resulting in a 30% boost in productivity.
- â–¹Conducted in-depth research on generative AI trends, producing data-driven reports that increased operational efficiency by 40%.
- â–¹Collaborated with international teams to implement AI tools, reducing manual tasks by 45%.
+1 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%.
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- 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.
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- â–¹Architected batch prediction system using Ray actors and TorchX, processing 250 requests per batch.
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- â–¹Engineered sequence-to-sequence model processing 220,000+ movie dialogue exchanges with nn.GRU and nn.Embedding.
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- 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.
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- 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
Systematic Literature Review
Under Review
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.