• 🌱 Currently a Research Engineer at Sprints AI, building production-grade multi-tenant AI Learning Companion platforms with agent workflows, hybrid RAG, and neuroscience-inspired memory systems.
  Parallelly conducting independent memory research through the LiveMem / THEN project — a stateful live memory extension that decouples model training from episodic memory ingestion and query-time recall.

• 🛠️ With hands-on experience in freelancing, online tutoring, and contractor roles, I’ve delivered solutions across Machine Learning, Deep Learning, NLP, LLMs, autonomous agents, and production systems.

• 🧑🏻‍💻 Right now I’m experimenting with PEFT techniques (LoRA/QLoRA/DoRA) beyond NLP — applying them to Computer Vision, Generative AI (recommendation systems, RAG pipelines), benchmarking & evaluation frameworks, and novel data representation systems.
  "To the vector store, or the knowledge graph… maybe both, maybe something entirely new."

• Domain-Specialized AI Development — Embedding deep problem-domain knowledge into model architectures and workflows to maximize efficiency and minimize energy footprint.
• PEFT Beyond NLP — Extending LoRA-style adapters to Computer Vision, recommendation systems, RAG pipelines, and other modalities.
• Benchmarking & Evaluation Systems — Designing end-to-end suites for rigorously comparing domain-specific models on accuracy, latency, resource cost, and robustness.
• Novel Representation & Memory Learning — Exploring vector stores, knowledge graphs, hybrid approaches, and stateful live memory systems (LiveMem / THEN).
• Interpretability, Alignment & Safety — Probing decision paths, emergent behaviors, and guardrails (long-term Anthropic-style inquiry).
• AI ↔ Cybersecurity Integration — Securing ML pipelines (privacy, robustness) and embedding AI into security tooling.
• 3D Avatar & VRoid-Based Services — Automating avatar generation with real-time facial motion capture (VSeeFace/VMagicMirror).
• Computational Neuroscience & Brain-Signal ML — EEG/fMRI-driven models for real-time detection and medical applications.

Open to research collaborations, interesting problems, or deep discussions on memory systems and representation learning. Feel free to reach out!

📝 Blog | 🐦 X | 🤝 LinkedIn | ⚙️Portfolio

• 📫 How to reach me :
  

  - 📧 Personal / Business contact : moh.z.ahmed007@gmail.com

  
  

  - 📧 Academic contact: s-mohamedzayed@zewailcity.edu.eg