LaelaZ

LaelaZorana/LaelaZ

LaelaZ is a machine learning model from LaelaZorana. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

AI evaluation specialist and MLOps engineer building production-quality tools for AI training data QC, model evaluation, and performance engineering.

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Updated Sep 14, 2026

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Hugging Face

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Access: Public
Created: May 27, 2026
Updated: Sep 14, 2026
SHA: 65574495

Model card

From the Hugging Face model README

Hi, I'm Laela Zorana 👋

AI evaluation specialist and MLOps engineer building production-quality tools for AI training data QC, model evaluation, and performance engineering.

📍 Burr Ridge, IL, USA | 🔗 github.com/LaelaZorana | 📊 kaggle.com/laelazorana

⭐ Featured live demos

Live, deployed, and — where the model is the point — running the real model, not a stub.

Demo	What it proves
🎭 Emotion Spectrum API · model	Fine-tuned DistilBERT — accuracy 0.920 / macro F1 0.874 (held-out), with a confusion matrix — served by a production API (batching, Prometheus/Grafana). The demo runs the real model.
⚖️ ParaPilot	Grounded, cited legal-Q&A RAG with an anti-hallucination eval — 3.8% hallucination / 85.3% groundedness on real Haiku-4.5.
🛟 SupportCopilot	E-commerce support agent — 80% ticket deflection on the seeded eval.
🎯 InterviewCoach	Job-description-aware interview prep with rubric-scored feedback.
🛡️ Solidity Static Auditor	Rule-based SWC-mapped detectors + optional LLM remediation.
🔐 LLM Security Scanner	Injection / jailbreak / PII probes + a governance report.
📊 CommercePipeline	DuckDB warehouse with data-quality gates that fail closed.

🛠️ What I Build

AI Training Data Quality Control

Tools for the full AI training data QC pipeline — scenario validation, RLHF preference rating, content moderation, UI annotation, and SCORM package validation.

Repo	What it does
ai-agent-scenario-qc	Reviews AI agent training scenarios (JSON) against an 8-criterion weighted rubric. Detects undeclared tools, undefined personas, token bloat.
rlhf-pairwise-rater	Pairwise rating CLI on 4 axes (helpfulness, harmlessness, accuracy, instruction-following) with self-consistency check and Cohen's kappa.
content-policy-rater	Rubric-based content moderation reviewer with per-criterion inter-rater agreement.
ui-annotation-toolkit	Screenshot annotation with forced observation/inference separation.
scorm-qa-validator	Validates SCORM e-learning packages locally before LMS upload.

MLOps & Performance Engineering

Repo	What it does
mlops-training-pipeline	Composable MLOps toolkit: training loops, experiment tracking, HuggingFace evaluation, JAX trainer, DDP/FSDP config.
triton-kernel-lab	Custom GPU kernels in OpenAI Triton — fused softmax, GELU, tiled matmul — with PyTorch benchmarks.
python-perf-optimizer	Python performance profiling, latency/throughput benchmarking, memory optimization, and severity-tagged optimization advisor.

🎓 Background

MS Cloud Computing — Purdue University (In Progress, 2026)
AI Agents and Agentic AI Architecture in Python — Vanderbilt University (Dec 2025)
Lean Six Sigma — Kennesaw State University (Jan 2026)
10+ years in content quality, compliance auditing, and technical QA at Deutsche Bank, Morningstar, Tata Capital, Altisource, and Accenture

🤝 Connect

GitHub: github.com/LaelaZorana
DagsHub: dagshub.com/laelazorana
LinkedIn: linkedin.com/in/laela-zorana-362309114
Kaggle: kaggle.com/laelazorana
Email: [email protected]

Who built this

I am Laela Zorana. I write GPU kernels and measure them on real hardware, on AMD Instinct cards and on AWS Trainium, and most of my work sits at the point where two correct answers disagree and something has to decide which one to trust.

If this was useful, a like puts it in front of the next person looking for the same thing, and following means you see what I measure next. If you are using it for something, I would like to hear what.

Where the rest of my work lives.

Hugging Face, https://huggingface.co/LaelaZorana
GitHub, https://github.com/LaelaZorana
Website, https://codezorana.ai
LinkedIn, https://www.linkedin.com/in/laela-zorana-362309114

Created: May 27, 2026
Updated: Sep 14, 2026