AI, Presales, PoCs, LLM ,RAG, Python, FastAPI, LangChain

He is an AI Solutions Architect and Presales Engineer with a track record of scoping, demonstrating, and delivering production-grade AI solutions and over 2 years of experience. In his most previous role, he was the Head of AI & Digital Transformation at XXXX, where he served as a strategic leader, owning the full lifecycle from business case development to the deployment of cross-departmental AI initiatives. He successfully built the business case for a dedicated AI department, securing C-suite commitment and leading a 5-person technical team with performance-linked OKRs. He also architected an AI-driven analytics platform on the Frappe Framework, reducing manual data-entry workloads by 60% through intelligent automation. And deployed Agentic AI and n8n automation across multiple business units, eliminating over 120 hours of manual processing per month. Before this, he was at XXXX as a ML Engineer, where he specialized in solving “revenue leakage” caused by inconsistent service quality through advanced NLP and Speech-to-Text solutions. He designed an end-to-end NLP pipeline for Arabic (multiple dialects) and English WhatsApp and voice analytics. He ttilized Whisper to transcribe calls, implementing custom cleaning cycles to handle domain-specific “medication” and service terminology. He also fine-tuned BERT (XLM-RoBERTa) and utilized Knowledge Distillation (via GPT) to generate high-quality training data for complex Arabic dialects. Moreover, he created a 6-step diagnostic framework (Discovery Intent, Welcome, Info, etc.) to extract KPIs and improve sales team performance. And he replaced manual data entry with a production pipeline using Qwen2-VL, LangChain, and Pydantic, integrating automated extraction of Visas and Contracts directly into Odoo ERP.

2.       What skill(s) / experience would you self-describe as strongest or specialist in?  

Strongest skills would be multilingual semantic architect, full-stack AI productizing and operational efficiency & ROI. His work on SentyChat demonstrates a sophisticated ability to handle unstructured, multi-dialectal Arabic data—traditionally a “black box” for standard models. Unlike engineers who focus only on the model, he builds the entire ecosystem—from the FastAPI/Django backend to the AWS deployment and CI/CD pipelines. By building IDP solutions for residency documents and contracts, he removes the “manual entry” bottleneck, directly improving organizational accuracy.

3.       Do you have the lists of key criteria’s according to the clients’ requirements?

He is an AI Solutions Architect and Presales Engineer with a track record of scoping, demonstrating, and delivering production-grade AI solutions and over 2 years of experience. He has experienced in running discovery sessions, building technical Proof of Concepts (PoCs), and crafting proposals to convert stakeholder interest; skilled in LLM fine-tuning, RAG pipelines, and Agentic AI. He is proficient in end-to-end design, including ERP integrations (Odoo, Frappe) and cloud deployments on AWS. An expert in Python, FastAPI, LangChain, and Computer Vision tools like YOLO and OpenCV. Moreover, he deployed Agentic AI and n8n automation workflows, saving 120+ hours of manual processing per month. He designed a multilingual communication analytics platform using Whisper ASR and XLM-ROBERTa. And delivered a real-time Computer Vision platform using YOLOv5/v8 for automated product counting.