MSc Advanced Computer Science @ University of Liverpool (Sep 2026) Full Stack & ML Engineer with 4 years building production AI systems and enterprise platforms. I care about reliability, observability, and shipping useful software fast.
The public repos here are reference implementations and exploratory builds around three themes: trustworthy RAG, ML observability, and micro-frontend platforms.
- 🏅 GCP Professional Machine Learning Engineer (Credly)
- 🌐 Portfolio: https://ramdragneel01.github.io/dragon-portfolio/
- 💼 LinkedIn: https://linkedin.com/in/ramprakashdhulipudi
- ✍️ Medium: https://medium.com/@RamPrakashD
| Repository | What it is |
|---|---|
| partner-portal-microfrontends | Enterprise portal in federated React apps: Module Federation, Nx, RBAC, MSAL auth |
| hallucination-lens | Sentence-level RAG faithfulness scoring with a CLI |
| context-watchdog | Guardrails for long-running LLM and agent workflows |
| agentic-research-assistant | Multi-agent research with traceable orchestration |
| mlops-sentinel | Drift, latency, and reliability monitoring for models in use |
Year in Industry placements and internships in ML Engineering, MLOps, Full Stack, or AI systems. UK, EU, or US. Starting September 2026.
Reach me on LinkedIn — fastest path.
