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Machine Learning
Engineer & AI Researcher
Building large language model evaluation systems, real-time accessibility pipelines, and scalable ML solutions. AI Research Assistant at Stevens Institute of Technology · MS in Applied Artificial Intelligence.
About
Building AI at Scale
Hi, I'm Azizul. My interests lie at the intersection of AI research and engineering. I've built and deployed AI models in production for trillion-dollar companies including Aramco, bringing cutting-edge machine learning solutions to enterprise scale.
Research
Areas of Focus
Experience
Career Journey
AI Research Assistant
Researching large language models (LLMs) and real-time accessibility systems at Stevens Institute of Technology. Built automated truthfulness evaluation pipelines using TruthfulQA and developed delay-buffered editing systems for accessible slide presentations (ACM ASSETS 2025).
Data Analyst
Analyzed large-scale datasets at NEXT Ventures to drive business decisions. Built SQL/Python-based analytics pipelines, dashboards, and statistical models to improve operational efficiency and data-driven strategy.
Senior Web Developer
Led full-stack development projects at ExertPro LLC, building 30+ scalable web applications using React, JavaScript, and PHP. Integrated AI-driven features and improved performance, reducing load times by 60%.
Tech Stack
Frameworks & Tools
Machine Learning & NLP
LLM & Transformer Systems
Research & Experimentation
Accessibility & Media Processing
Data & Analytics
Web & Application Development
Systems & Tools
Research
Publications & Education
Accessible Slide Presentation via Intelligent Real-time Editing
Published in ACM ASSETS 2025. Insights from a Wizard-of-Oz Study on real-time accessibility editing.
Delay-Buffered Editing for Accessible Slide Presentation Videos
Under review at ACM Designing Interactive Systems (DIS 2026).
ASPIRE: Accessible Slide Presentation via Intelligent Real-time Editing
Under review at ACM CHI 2026.
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M.Eng in Applied Artificial Intelligence, Stevens Institute of Technology (Expected Dec 2026)
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B.Sc in Computer Science & Engineering, City University (2016–2020)
Interactive
AI Playground
Interactive visualizations of core ML/AI concepts
Neural Network Visualizer
Watch forward & backward propagation through a neural network. Hover nodes to see activation/gradient values.
Click input nodes for forward pass, output nodes for backprop
Vector Embedding Space
Explore word embeddings in 2D space. Drag to pan, scroll to zoom.
Similar words cluster together in embedding space
Self-Attention Heatmap
Visualize transformer self-attention patterns between tokens.
Hover over cells to see attention weights
PyTorch AutoGrad: Gradient Descent
Watch how different optimizers navigate a 2D loss surface. Click to place starting point.
Click anywhere on the surface to start optimization. "Compare All" runs all optimizers simultaneously.