AI Developer | Research Assistant
Building Generative AI Solutions with LLMs & NLP
Hi there! I’m Muhammad Danish, a Computer Science undergraduate and Generative AI enthusiast from Karachi, Pakistan. I specialize in developing LLM-driven applications, chatbots, and NLP systems to solve real-world challenges.
- AI/ML:
- LLMs: LangChain, LlamaIndex, RAG Pipelines
- NLP: Vector Embeddings, Document Processing, Azure Cognitive Services (Speech/Text)
- Frameworks: PyTorch, FastAPI, Streamlit, FAISS
- Programming: Python, C/C++, JavaScript (React, Node.js)
- Cloud & Deployment: Azure, Heroku, Vercel, Supabase
- Tools: Git/GitHub, Bash, SQL, REST APIs
- Hunar Foundation Bot: LangChain chatbot with voice/text interactions using Azure and FAISS for context-aware responses.
- XSS Detector: FastAPI backend + React frontend for detecting XSS attacks, deployed on Heroku/Vercel.
- NLP Competition Winner (IBA Probatile ’25): Optimized RAG pipeline with fine-tuned embeddings for semantic search.
- 1st Place, IBA Probatile ’25 NLP Competition: Enhanced document retrieval efficiency using RAG.
- Procom ’24 Hackathon Winner: Built a scalable fintech solution for farmers.
- Dean’s List Award (FAST NUCES): Recognized for academic excellence in CS.
- Designing AI-driven educational tools for special needs children (ASD/ADHD).
- Enhancing LLM agentic workflows with OpenAI’s Agent SDK.
- Contributing to open-source AI projects.
- GitHub: @danisaysskol
- LinkedIn: Muhammad Danish
- Email: malikmdanish000@gmail.com
- Medium: Account
Open to collaborations on AI/NLP projects! Let’s build the future of Generative AI. 🚀