You will get Consulting for AI-based startups, softwares, applications, or devices
Project details
et an end-to-end GenAI & Engineering partner focused on results, not hype. I’m Dr. Abdulla Hourani—a clinician-engineer delivering production systems for startups across GenAI, agentic workflows, APIs/wrappers, data engineering, and medical AI.
What sets me apart: domain depth + full-stack delivery. I design and fine-tune models (GPT/Llama/Mistral/Qwen; SFT/DPO/LoRA/RLAIF), wire real tools via function calling, build RAG with citation checks, and deploy on cloud or on-prem Kubernetes with monitoring, tracing, and eval dashboards. I’m GDPR/HIPAA aware and fluent in FHIR/HL7/DICOM.
Typical outcomes: crisp roadmap, a working MVP, cost-optimized serving, clean APIs, and a handover your team can own. I’ve shipped multimodal ICU models (ECG+CXR+labs), voice agents with telephony, secure data pipelines, and analytics dashboards.
What you get: discovery session, architecture, working prototype, tests/evals, observability, and documentation—plus weekly demos and transparent pricing. Vendor-neutral, open-source friendly, and laser-focused on ROI.
What sets me apart: domain depth + full-stack delivery. I design and fine-tune models (GPT/Llama/Mistral/Qwen; SFT/DPO/LoRA/RLAIF), wire real tools via function calling, build RAG with citation checks, and deploy on cloud or on-prem Kubernetes with monitoring, tracing, and eval dashboards. I’m GDPR/HIPAA aware and fluent in FHIR/HL7/DICOM.
Typical outcomes: crisp roadmap, a working MVP, cost-optimized serving, clean APIs, and a handover your team can own. I’ve shipped multimodal ICU models (ECG+CXR+labs), voice agents with telephony, secure data pipelines, and analytics dashboards.
What you get: discovery session, architecture, working prototype, tests/evals, observability, and documentation—plus weekly demos and transparent pricing. Vendor-neutral, open-source friendly, and laser-focused on ROI.
Target Country
Worldwide, United States, United KingdomWhat's included
| Service Tiers |
Starter
$100
|
Standard
$350
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
General Project Consulting | |||
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Define Deliverables & KPIs | |||
Establish Schedule & Milestones | - | ||
Risk Management | - | ||
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Project Diagrams Provided | - | - |
About Abdulla
ML Engineer CS, MD
Warsaw, Poland - 10:01 am local time
WHAT I DO
• Startup AI/LLM strategy and technical roadmaps
• Agent architecture: multi-tool, multi-step, memory, planning, tool use, evals
• Enterprise voice agents (phone/web): real-time speech, secure handoffs, analytics
• Fine-tuning (SFT/DPO), domain adaptation, safety/guardrails, eval harnesses
• RAG systems with verified citations (guidelines, papers, SOPs, PDFs)
• Medical CPM, clinical ML, NLP extraction
• On-prem MLOps: containers, CI/CD, monitoring, cost/perf optimization
• Hardware & edge integration: sensors, device data, streaming inference
• Constructing databases and creating based extraction pipelines
• Investor diligence: leakage checks, reproducibility, risk memos
OUTCOMES I DELIVER
• Deployable agents and apps your users can trust (speed, SLAs, guardrails)
• Calibrated, leak-free models with documented thresholds and failure modes
• Evidence-citing assistants that don’t hallucinate (traceable retrieval & quotes)
• Clean docs your board/regulators will sign: model cards, bias, monitoring KPIs
• Build plans that hit milestones and budgets—no vague “research mode”
TYPICAL ENGAGEMENTS
• One-Week Clinical AI/LLM Audit → findings, fixes, roadmap
• Agentic Product Sprint (7–10 days) → scoped flows, evals, working demo
• GenAI Voice Agent (2–3 weeks) → triage/intake/support with analytics & handoff
• Fractional Head of Clinical AI (1–2 days/week) → governance, hiring, reviews
HOW I WORK
• Discovery → paid diagnostic → sprint delivery → handover or monthly cadence
• Tight scopes, weekly demos, clear KPIs (AUC/PR, calibration, latency, CSAT)
• Pre-agreed change policy; production-ready deliverables (Docker + docs)
WHY ME
• Doctor + ML engineer; published and frequent conference podiums
• Built ICU/HF/ACS models, clinical NLP pipelines, and on-prem deployments
• End-to-end builder: data → design → model → eval → shipping
• I treat scope, quality, and privacy like a surgeon—precise and accountable
STACK & CAPABILITIES
• Mathematics: Descriptive & inferential analyses; ts analyses; survival analyses; regression
• ML: Boosting, regression, neural networks, transformers, ensembles, MoE, Multimodal fusion
• LLMs: GPT-class, Llama, Mistral, Qwen; SFT/DPO, LoRA/Q-LoRA, RLHF, RLAIF, distillation
• Agents/Voice: toolformer patterns, function calling, Realtime APIs, telephony, TTS/ASR, livekit, pipecat, langchain.
• RAG: chunking, rerankers, retrieval tests, citation verification, eval suites
• MLOps: Docker, CI/CD, tracing, eval dashboards, feature stores, monitoring
• Data: Python, R, SQL; EMR/HL7/FHIR; streaming + batch; secure connectors; keras, caret, h2o, etc.
• Infra: on-prem, VPC, Kubernetes, GPU/CPU scaling; GDPR/HIPAA aware
COMPLIANCE & DATA
• GDPR/HIPAA-aware workflows; DPA/BAA on request
• PHI stays inside your environment unless explicitly agreed
• Security reviews and audit trails included in delivery
LET’S BUILD
Send a brief on your product, users, and deadline. I’ll reply with a sharp plan, milestones, and a fixed quote or premium hourly.
Steps for completing your project
After purchasing the project, send requirements so Abdulla can start the project.
Delivery time starts when Abdulla receives requirements from you.
Abdulla works on your project following the steps below.
Revisions may occur after the delivery date.
Analyses