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I'm Siddiqua Fathima, an aspiring AI Engineer passionate about transforming innovative ideas into intelligent, production-ready applications. I enjoy designing AI systems that combine Large Language Models, Machine Learning, Computer Vision, and Backend Engineering to solve practical problems.
To build reliable, scalable, and impactful AI applications that bridge research and real-world use.
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| 🤖 AI Engineering | 🧠 Generative AI | 👁️ Computer Vision | ⚙️ Backend |
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| AI Agents | LLMs | OpenCV | FastAPI |
| RAG | LangChain | PyTorch | REST APIs |
| Prompt Engineering | LangGraph | TorchVision | PostgreSQL |
| Production AI | Gemini | Image Processing | Docker |
| Area | Focus |
|---|---|
| 🤖 AI Engineering | Production AI Applications |
| 🧠 GenAI | LLMs • AI Agents • Prompt Engineering |
| 📚 RAG | LangChain • LangGraph • FAISS |
| 👁️ Computer Vision | PyTorch • OpenCV |
| ⚙️ Backend | FastAPI • REST APIs |
| 🗄️ Data | PostgreSQL • SQLAlchemy |
| 🚀 Deployment | Docker • Railway |
🧠 Designing AI Agents
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🚀 Building LLM Applications
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⚙️ Backend Engineering
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👁️ Computer Vision
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📚 Learning MLOps
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"Great AI isn't just about training better models. It's about building intelligent systems people can trust and use."
"Engineering intelligent solutions with AI, Machine Learning, Computer Vision, and Generative AI."
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An intelligent dermatology assistant that combines Computer Vision, LLMs, and Retrieval-Augmented Generation (RAG) to support preliminary skin condition analysis.
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A production-ready GenAI analytics platform that transforms customer feedback into structured business insights using Large Language Models.
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An end-to-end Machine Learning application that predicts customer churn and recommends business strategies to improve retention and revenue.
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A multi-agent emergency response simulation platform designed to model disaster scenarios and assist in intelligent decision-making.
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| 🏅 Achievement | Description |
|---|---|
| 🏆 IEEE Conference Publication | Published research on Machine Learning-based Cyberbullying Detection |
| 🚀 Meta PyTorch Hackathon | Built AI solutions using PyTorch |
| 🤖 AI Engineering Projects | Developed multiple end-to-end AI systems |
| 🌍 Open Source Journey | Learning through GitHub and OpenCV contributions |
| 🎓 MCA Specialization | Artificial Intelligence & Machine Learning |
🏅 Google — Generative AI
🏅 Accenture North America — Data Analytics & Visualization
🏅 Women in Leadership
🏅 Forward Program
| 🔬 AI Research | ⚙️ Engineering |
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| Multi-Agent AI | MLOps |
| Advanced RAG | Kubernetes |
| Vision-Language Models | Cloud Deployment |
| AI Safety | CI/CD |
| Distributed AI Systems | Scalable Infrastructure |
"I don't just train AI models—I engineer intelligent systems that are reliable, scalable, and built for real-world impact."
I enjoy collaborating on AI Engineering, Generative AI, LLM Applications, Computer Vision, Backend Development, and Open Source.
| 💡 Looking For | ✅ Status |
|---|---|
| AI Engineer Roles | 🟢 Open |
| GenAI / LLM Engineer Opportunities | 🟢 Open |
| Machine Learning Projects | 🟢 Open |
| Research Collaborations | 🟢 Open |
| Open Source Contributions | 🟢 Open |
If you like my work and find my projects useful,
⭐ Star my repositories
🍴 Fork interesting projects
🤝 Let's collaborate
💬 Connect with me
🧠 Agentic AI • 🤖 Large Language Models • 📚 Advanced RAG • 👁️ Vision-Language Models • ☁️ MLOps • 🚀 Cloud AI
"My Neural Nets Never Sleep."
I'm passionate about turning research ideas into production-ready AI systems that solve meaningful real-world problems.