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Report abuseI'm an undergraduate CS researcher at BRAC University with a minor in Mathematics, focused on Graph Neural Networks and Causal Reinforcement Learning. My current research investigates GNN architectures for recommendation systems.
I also build full-stack applications and actively contribute to open-source projects working toward Google Summer of Code 2027.
| PR | Area | Description |
|---|---|---|
| #40617 | 🐛 Fix | useMemo side-effect in RoomsTable |
| #40449 | 🔒 Security | Restored Issue Tracker Links with URL scheme validation |
| #40451 | 🧹 Refactor | Simplified getNodeIconType utility with direct returns |
| #40426 | ✨ Feature | Nested markdown list support in message parser |
| #40374 | ⚡ Perf | Translation memory cache to reduce redundant API calls |
| #40353 | ⚡ Perf | useInfiniteQuery to prevent UI freeze in message tabs |
| #40399 | 🐛 Fix | Preserve aspect ratio for URL-embedded images |
| #40425 | 🐛 Fix | Trim whitespace from IP whitelist entries |
| #40424 | 🐛 Fix | Replace fragile regex in isRelativeURL validation |
| #40363 | 🐛 Fix | Fix truncation of Livechat transfer comments |
| Org | PR | Description |
|---|---|---|
| py-why | #1589 | Added descriptive error boundary for out-of-bounds interventions in dowhy |
| py-why | #1563 | Fix distance metric parameters in NearestNeighbors estimator |
| py-why | #1546 | Fix data subset refuter index misalignment |
Highly optimized PyTorch Geometric benchmark for Graph Neural Network (GNN) based Recommender Systems. Features state-of-the-art Collaborative Filtering using LightGCN and BPR loss.
Python PyTorch PyG GNNs RecSys
NLP-powered sentiment analysis tool with emotion detection, keyword extraction, and visual gauges. Client-side processing.
JavaScript 1
Personal portfolio built with React, Framer Motion, Three.js, and interactive particles. Features AI chatbot, glassmorphism design, and contact form.
HTML 1
Full-stack e-commerce platform with product catalog, cart management, real-time search, category filtering, and checkout flow.
CSS 1
AI-powered financial tracking dashboard with real-time analytics, portfolio management, and spending insights. Built with Chart.js.
HTML 1
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