I'm a Data Scientist & Machine Learning Engineer from Upper Chitral, Pakistan. I build LLM-integrated systems, research interpretable conversational AI, and validate financial ML pipelines on synthetic data before making real-world claims.
- 🔬 Currently working on: Modular context-gathering architectures for reliable multi-domain LLM generation
- 🎓 Preparing for: Graduate research in AI/ML abroad
- 💡 Interested in: Interpretability, applied NLP, computer vision, robotics, and intelligent systems
- 🌐 Portfolio: sultanalikhan7543.github.io/Portfolio
Languages & Tools
AI / ML & Data Science
Robotics & Reinforcement Learning
Web & Platforms
🤖 MeridianA conversational AI platform that asks clarifying questions before returning ranked results. 9-tool suite with Claude API.
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Marketing analytics dashboard that turns campaign data into plain-English insight.
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Applied ML project identifying fraudulent transactions from highly imbalanced data.
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📈 Flux-SimSynthetic order-flow-imbalance pipeline validation study with LightGBM.
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Privacy-preserving ECG arrhythmia classification under non-IID data distributions.
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Benchmark of recurrent vs. memoryless policies for mobile robot navigation.
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- Federated Learning for Privacy-Preserving ECG Arrhythmia Classification — Zenodo, Oct 2026 · Read →
- Temporal Memory for Robust Navigation under Distribution Shift — Zenodo, Oct 2026 · Read →