Rohit Patel
AI Forward Deployed Engineer · MLOps / LLMOps · Sr. Staff SRE
10+ years of SRE/DevOps across Singapore fintech and data-centre infrastructure, now building applied AIOps, MLOps, and RAG-security systems end-to-end.
Open to Forward Deployed Engineer, MLOps & AIOps roles — SingaporeConnect on LinkedIn
Full experience history across F5 Networks, Preqin, FundingSocieties, and my current AIOps work at Equinix — plus updates on this research and portfolio.
View LinkedIn Profilegithub.com/rpaut03l
Applied AIOps/MLOps builds, RAG security research, and self-directed AI/ML study repos.
View All RepositoriesRAG-Shield (private research repo)
3-ring defense-in-depth against RAG knowledge-base poisoning — in progress, see the Research tab.
gan-mode-collapse-demo
Interactive live demo simulating GAN mode collapse in real time, with a runnable simple GAN + DCGAN underneath.
ts_02_safevault-reentrancy-demo
Live demonstration of a reentrancy exploit and its defense on Ethereum smart contracts, built and proven end-to-end with Foundry, Anvil, and a MetaMask UI.
mlops-emotion-pipeline
End-to-end MLOps pipeline fine-tuning distilbert-base-uncased for 6-class emotion classification — see the Research tab for the full tech stack and live links.
mlops-assignment2
DistilBERT fine-tuned for Goodreads genre classification — same reproducible MLOps discipline, see the Research tab for links.
rptl_gn_mlops
ML-driven K8s CI/CD pipeline — auto-scaling via Prometheus predict_linear, OTEL instrumentation, versioned model artifacts per PR.
TS-02
Applied deep-learning-ops & MLOps study repo — PyTorch, experiment tracking, distributed training, TorchScript/ONNX export.
TS-01
AI/ML foundations study repo — search, CSP, Bayesian networks, reinforcement learning, convex optimization.
Resume — AI Forward Deployed Engineer / MLOps / AIOps
Sr. Staff SRE background, applied AIOps/MLOps portfolio, and current RAG-security research. Hosted on Google Drive, always the latest version.
View / Download ResumeApplied research and end-to-end builds spanning RAG security, generative modeling, blockchain security, and production MLOps — each one built, tested, and documented, not just studied.
TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation
Reproduces the PoisonedRAG knowledge-corruption attack on RAG systems end-to-end, then designs and evaluates a defense an attacker must beat on three independent, black-box checkpoints. Posted to arXiv (cs.CR, cross-listed cs.AI / cs.CL / cs.LG); in preparation for peer-reviewed submission to NDSS and IEEE S&P.
I led the design and implementation of TriShieldRAG's three-ring defense architecture — Rings 1–3 above, the paper's core technical contribution — including the retrieval/consensus engineering and the interactive attack/defense demo. Author order reflects the collaborative course/research context; the defense system itself was my build.
Mode Collapse in GANs — Interactive Presentation Kit
Solo-built interactive live demo simulating GAN mode collapse in real time, with runnable PyTorch implementations underneath.
SafeVault — Reentrancy Exploit & Defense on Ethereum
Live demonstration of a reentrancy exploit and its defense on Ethereum smart contracts, built and proven end-to-end with Foundry, Anvil, and a MetaMask UI.
View RepoMLOps Emotion Pipeline — DistilBERT Fine-Tuning & CI/CD
End-to-end MLOps pipeline — fine-tuning distilbert-base-uncased on the dair-ai/emotion dataset (6-class text classification), with Kaggle GPU training, Weights & Biases tracking, Hugging Face model hosting, Docker inference, and GitHub Actions CI/CD.
| Layer | Tool |
|---|---|
| Model | distilbert-base-uncased (Hugging Face Transformers) |
| Dataset | dair-ai/emotion — split config (20k) |
| Training | Kaggle Notebook, GPU T4, HF Trainer API |
| Experiment tracking | Weights & Biases |
| Model registry | Hugging Face Hub (public) |
| Packaging | Docker (slim Python 3.11) |
| CI/CD | GitHub Actions |
MLOps Assignment 2 — DistilBERT for Goodreads Genre Classification
DistilBERT fine-tuned for multi-label genre classification on the Goodreads dataset, with the same reproducible MLOps discipline — tracked training, public model artifact, and public dashboard.
Live LinksCertifications
13 active certifications across Kubernetes, observability, IaC, and AI — verified and browsable on Credly.
View All Badges on CredlyBrowse by category
- CKA — Certified Kubernetes Administrator
- CKAD — Certified Kubernetes Application Developer
- KCNA — Kubernetes and Cloud Native Associate
- KCA (Kyverno) — Kyverno Certified Associate
- Cloud Native Associate (CNCF)
- LF Kubernetes Specialist
- PCA — Prometheus Certified Associate
- OTCA — OpenTelemetry Certified Associate
- LF Monitoring & SRE
- HashiCorp Terraform Associate
- AWS AI Practitioner
- LF Linux Essentials
- LF Linux Provisioning
Writing
Long-form technical writing on AIOps, MLOps, and applied AI/ML — deployment guides, workflows, and lessons from production systems.
Read on MediumMore writing
- rohitpatel.in — long-form posts on AWS ML Engineer certification prep, ML workflows, and MLOps practice
- Medium profile — cross-posted and standalone technical writing
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