I build research-driven, production-ready AI systems with a focus on:
- Natural Language Processing (NLP)
- Multimodal AI
- Retrieval-Augmented Generation (RAG)
- End-to-end ML pipelines
- Data-driven backend systems and analytics platforms
My work bridges academic research and real-world deployment. Alongside AI development, I also enjoy working on the infrastructure and data platforms that power intelligent systems. I have built a Retrieval-Augmented Generation (RAG) system using embeddings and vector search for semantic document retrieval, an IoT telemetry analytics platform using PostgreSQL and TimescaleDB for time-series data analysis and query optimization, and a Kubernetes-based multi-tenant platform that automates application provisioning with Helm and FastAPI. These projects helped me gain hands-on experience building systems that combine AI capabilities with scalable backend infrastructure.
Explore my pinned repositories below for:
- Research-based NLP projects
- RAG chatbots and knowledge systems
- Applied ML for real-world problems
- Data analytics and time-series data platforms
Python · Machine Learning · Deep Learning · Generative AI · RAG · LangChain · NLP · FAISS · Streamlit · PostgreSQL · TimescaleDB · SQL · Pandas · NumPy · Docker · Kubernetes · GitHub · HTML · CSS · JavaScript · Vue · UI Improvements · React
- OWASP - OpenCRE, Cornucopia & Threat Dragon projects (UI / content improvements)
- AboutCode - VulnerableCode project contributions
- 💼 LinkedIn: https://www.linkedin.com/in/mahaboobunnisa123
- 🌐 Portfolio: https://md-mahaboobunnisa.vercel.app
- 📧 Email: mahboobunnisa885@gmail.com
- 🌍 India

