Portfolio
Open-source libraries and projects spanning GenAI, computer vision, recommendations, pricing, forecasting, and optimization.
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13 projects
Public libraries
Reusable tools for Arabic NLP and AI workflows
Offline Python library for detecting Arabic Hadith passages and retrieving their supporting sources, with exact and configurable fuzzy matching.
Contribution: Built and published v0.1.1 on PyPI, including Arabic normalization, positional indexing, ordered matching, source retrieval, original-text offsets, and HTML highlighting.
Personal research project covering GRPO fine-tuning on GSM8K and an SFT dataset pipeline for certification-question generation.
Contribution: Built a single-GPU Qwen2.5-3B-Instruct GRPO pipeline using Unsloth, TRL, QLoRA, vLLM generation, and five rule-based rewards, following the standard Unsloth recipe. Built resumable Gemini-based metadata extraction with Pydantic validation for SFT data. No training results or evaluation benchmarks are published.
Jul 2025 - Present
AI Engineer
Hybrid retrieval system for finding the most relevant fatwa across the Ministry's IslamWeb corpus. Visit FatwaTok
Client: Qatar Ministry of Awqaf and Islamic Affairs
Contribution: Built Gemini embedding retrieval, BM25 keyword retrieval, RRF fusion, retrieval evaluation workflows, human labeling support, LLM-assisted relevance review, and production search deployment.
Scheduled production pipeline for fetching new fatwas, enriching the content, generating summaries and audio, and refreshing search artifacts.
Client: Qatar Ministry of Awqaf and Islamic Affairs
Contribution: Built a daily Cloud Run pipeline that detects newly published fatwas, fetches and processes content, runs Gemini batch summarization, flags sensitive and modern topics, generates Arabic TTS with Quran-aware preprocessing, and refreshes BM25 search artifacts.
Computer vision safety POC that detects workers and PPE in recorded oil-rig CCTV footage, tracks workers across frames, and raises alerts when they enter predefined danger zones.
Contribution: Researched and prepared domain data, annotated and versioned datasets in Roboflow, fine-tuned YOLO and RF-DETR detectors, tracked evaluation with MLflow, and integrated the selected RF-DETR model with ByteTrack, zone-event logic, and OpenCV video rendering.
Recorded-match computer vision pipeline that detects and tracks match entities, maps play to pitch coordinates, and renders numerical and spatial analytics.
Contribution: Fine-tuned YOLO 26 Large for four-class detection and built the two-pass pipeline covering ByteTrack continuity, bounded ball interpolation, appearance-based team assignment, homography, possession and movement estimates, tactical radar views, and annotated video output.
A grounded Arabic sermon-generation assistant for Khateebs, using retrieval, specialist agents, moderation, and review loops to support Friday sermon preparation while preserving human accountability.
Client: Qatar Ministry of Awqaf and Islamic Affairs
Contribution: Built the n8n POC and helped move the production workflow to Google ADK and Agent Engine, separating requirement extraction, retrieval, drafting, moderation, revision, word-count adjustment, and human review.
Arabic assistant grounded in an established corpus of religious rulings, with scholar escalation for sensitive requests.
Client: Qatar Ministry of Awqaf and Islamic Affairs
Contribution: Developed retrieval and response workflows, plus an intent agent that escalates appropriate conversations to a scholar.
May 2023 - Jun 2025
Machine Learning Engineer
Graph-based assistant with function calling, dynamic routing, and contextual memory.
Contribution: Developed the LangGraph workflow, memory retrieval, tool integration, and Docker deployment.
Machine learning engine that recommends prices while balancing revenue and customer retention.
Contribution: Built product and customer segmentation models, evaluated performance, and deployed customer-specific solutions.
Upsell and cross-sell recommendation systems that increase basket size and revenue.
Contribution: Built recommendation models for upselling and cross-selling, optimized inference with Cython and NumPy to reduce response time by 80% and created CI/CD workflows.
Feb 2021 - May 2023
Data Scientist
Scalable demand forecasting and promotion planning engine for large-scale retail operations.
Contribution: Contributed within a 7-person engineering team to scalable forecasting pipelines for product demand and promotional impact, working with clients to validate data and forecasts and building Plotly Dash and Tableau dashboards.
Regression and explainability system for improving cheese-manufacturing efficiency.
Contribution: Built the modeling and explainability modules and automated daily operational reporting.