Generative‑AI, Multimodal ML, RLHF Fine‑Tuning

Visionary AI Engineer & Consultant | Generative‑AI, Multimodal ML, RLHF Fine‑Tuning, Production‑Scale MLOps, Ethically‑Aligned Design

1. About Me (the 10‑second version)

Hi, I’m Dr. Alex “Lex” Navarro—an AI freelancer who blends PhD‑level research depth with a product leader’s bias for shipping. Over the past decade I’ve architected and deployed machine‑learning systems that now serve 150 M+ users, generated $420 M in new ARR, and cut compute spend by 38 % through ruthless optimization. My sweet spot is taking frontier AI—think LLMs, diffusion models, vision‑language transformers, reinforcement‑learning from human feedback—and turning it into delightful, responsible products that scale.

2. Signature Skill Stack (why clients hire me)
Category “Very Special” Abilities
Generative AI Custom LLM & diffusion model fine‑tuning, retrieval‑augmented generation (RAG) pipelines, controllable text & image synthesis, style transfer, sound & video generation.
Multimodal ML Vision‑language pre‑training, CLIP‑style embedding spaces, real‑time OCR & object detection, document‑understanding agents, speech‑to‑text & text‑to‑speech loops.
RLHF & Human‑in‑the‑Loop End‑to‑end pipelines for preference collection, reward modeling, PPO/LORA fine‑tuning, safety red teaming, continuous evaluation dashboards.
Production‑Grade MLOps GitOps‑driven CI/CD, feature stores, model registries, Kubernetes & Ray clusters, on‑demand GPU auto‑scaling, lineage & observability with Evidently, Weights & Biases, Grafana.
Edge & On‑Device AI Pruning, quantization, distillation, Core ML & TensorFlow‑Lite, WebGPU deployment—running an 800 M‑parameter vision model in a Safari browser at 30 fps.
AI Ethics & Governance Bias audits, explainability reports, privacy‑preserving federated learning, ISO/IEC 42001 alignment, policy drafting for Responsible AI Committees.
Prompt Engineering Few‑shot exemplars, chain‑of‑thought scaffolding, function calling schemas, vector‑store‑aided retrieval, evaluation harnesses that catch regressions before users do.
Team Enablement Workshops that upskill devs in weeks, not months; fractional AI architect services; technical ghostwriting to help founders fundraise.

3. What I Deliver

Idea to Proof of Concept (2–6 weeks)

Rapid discovery workshops, data audits, blueprint deck.

Working prototype hosted on secure cloud, demo day with stakeholders.

MVP to Production (1–4 months)

Scalable microservice or serverless architecture.

CI/CD with blue‑green or canary releases, monitoring, alerting.

Model performance guardrails and A/B experimentation framework.

Optimization & Cost Engineering

20–60 % inference speedup via mixed precision, caching, kernel fusion.

$‑level analysis of GPU vs. CPU vs. specialized accelerators.

AI Safety & Compliance Package

Fairness, transparency, accountability artefacts.

Documentation that satisfies regulators and earns user trust.

Upskilling & Advisory

Custom workshops (LLM Deep Dive, Secure MLOps, Prompt Writing for Product Teams).

Fractional Chief AI Officer—guiding strategy while you hire full‑time.

4. Flagship Projects & Impact

HyperChat™ (2024) – Led a five‑person tiger team to build a multilingual, multimodal chatbot for a European telco. Integrated speech, text, and image understanding. Outcome: CSAT +31 pts, call‑center costs −23 %, ISO 27001 pass with zero major findings.

AutoSketchGen (2023) – Architected a diffusion‑based pipeline that converts hand‑drawn wireframes into high‑fidelity UI mock‑ups. Deployed on‑device with Core ML, processing in <1 s offline. Featured in Apple WWDC keynote.

GenomeInsight RL (2022) – RLHF‑powered recommendation engine for precision‑medicine startup. Achieved 27 % higher therapeutic match rate while complying with HIPAA/GDPR via federated learning.

GreenCloud Optimizer (2021) – NLP agent that scans infra logs and predicts idle GPU clusters. Saved $2.7 M annual spend, reduced CO₂ footprint by 1,200 t.

5. Tooling & Tech I’m Fluent In

Python, PyTorch, JAX, TensorFlow, Rust for perf‑critical kernels
Docker, Kubernetes, Ray, Flyte, Kubeflow, Metaflow
LangChain, LlamaIndex, Haystack, OpenAI, Anthropic, Mistral, Open‑Source LLMs (Llama‑3, Mixtral, Gemma)
Hugging Face Hub, Weights & Biases, MLflow, ClearML
PostgreSQL, Redis, Faiss, Weaviate, PGVector, Milvus
Clouds: AWS (SageMaker, Bedrock) | GCP (Vertex, TPU) | Azure (OpenAI, ML)
Edge: Core ML, TensorRT, ONNX Runtime, WebGPU/WASM

6. My Working Style

Discovery First
I immerse myself in your domain, interviewing end‑users and stakeholders to articulate the problem in plain English. No code until the “why” is crystal‑clear.

Transparent Roadmapping
You get a living roadmap with deliverables, risks, and mitigation tactics—updated weekly.

Async‑First, Time‑Zone Friendly
Based in Berlin (CET/CEST), I overlap comfortably with both US mornings and APAC evenings. Clear Loom videos and concise docs keep you updated even while you sleep.

Security & Ethics Baked In
Every commit undergoes static analysis and policy checks. I refuse work that weaponizes AI or violates human rights.

Ownership Mindset
I treat your product like a co‑founder: celebrating wins, sweating the edge cases, monitoring post‑launch metrics.

7. Success Metrics I Care About

Accuracy & Robustness – Not just a high mean score but low variance across edge‑cases.

Latency & Throughput – 95th‑percentile inference time < target SLA.

Cost‑per‑Prediction – Quantized dollars per 1K calls, trended over time.

User Delight – Measured via MAU retention, NPS, or qualitative UX labs.

Compliance Readiness – Documentation stack sufficient for audit trails.

8. Engagement Models

Model Ideal For Billing
Sprint Package Rapid PoC or urgent model rescue Fixed scope, fixed fee
Fractional AI Lead Startups needing strategic guidance Weekly retainer
Long‑Term Partnership Ongoing R&D, continuous delivery Monthly retainer
Ad‑hoc Consulting Code reviews, second opinions Hourly

(I’m happy to sign NDAs, SOC 2 questionnaires, and handle procurement portals.)

9. What Clients Say

“Lex translated bleeding‑edge research into a stable product in weeks. We hit Series B with his tech as the centerpiece.” — CTO, Health‑tech scale‑up

“We audited multiple vendors; Alex was the only one with a convincing AI safety story and the engineering chops.” — Chief Compliance Officer, FinServ

“He upskilled our whole dev team—our velocity doubled.” — VP Engineering, SaaS unicorn

10. Let’s Build the Future Together

If you need someone who can ideate, prototype, productionize, and safeguard advanced AI—while speaking both CTO and C‑suite—let’s talk. Drop a message outlining your vision, and I’ll respond within one business day with initial thoughts and a proposed next step. Together we’ll turn state‑of‑the‑art into state‑of‑the‑market.