Building multi-modal AI systems, agentic intelligence, and production-grade data platforms.
- 🎓 B.Tech CSE (AI Focus) — Thapar Institute of Engineering & Technology
- 🧠 Specialized in Multi-Modal AI, RAG Systems, Agentic Architectures
- 🏗 Built production AI systems handling real users
- 📄 Research pipeline (RAG-ST) under IEEE review
- 🌍 Open-source contributor (MLflow, OpenMined)
- Multi-Modal AI Forensics Systems
- Agentic Enterprise Automation
- RAG-based Deep Learning Pipelines
- AI-powered B2B & Data Platforms
- Security & Intrusion Detection Systems
ViT + Wav2Vec2 + LLaMA + FAISS
Cross-modal consistency scoring with explainability.
MITM detection (<2s), UEBA drift analysis, edge firewall deployment.
9-stage pipeline combining EfficientNet + FAISS + gene prediction models.
Reduced proposal generation from 4 hours → 5 minutes.
- 🔹 MLflow — Validation logic & protobuf serialization improvements
- 🔹 OpenMined (Syft) — Persistent-mode dataset discovery debugging
- Agentic AI architectures
- Multi-modal reasoning systems
- Research → production translation
- Open-source + GSoC-level contributions
- 🌐 Website: prabindersinghh.com
- 💼 LinkedIn: Linkdin
- 📧 Email: prabindersinghh@gmail.com
⭐ Always open to research collaboration, AI systems building, and impactful product work.