Hire the Best PrimeFaces Specialists in Giza, EG

AI/ML Engineer — Computer Vision • NLP • LLMs • Voice Agents I build production-ready AI that ships fast and works reliably. From real-time voice agents to RAG chatbots and computer-vision pipelines, I turn messy data and research (e.g., RF-DETR) into products that move metrics. --- What I do - Computer Vision: Object detection & tracking (YOLOv8/YOLO-World, RF-DETR, Detectron2), OCR, video analytics, BYTETrack/SORT, OpenCV - LLMs & Agents: RAG over private data, tool-calling agents, NL→SQL, fine-tuning (LoRA/QLoRA, Unsloth, OpenRLHF/KTO), eval & safety (LLaMA 3, Qwen 2, Mistral, OpenAI) - Voice & Realtime: LiveKit + Twilio assistants with Whisper/ASR and XTTS/TTS; intent routing, verification, scheduling, workflow automation - Backend & MLOps: Python, FastAPI, LangGraph/LangChain, vLLM/Ollama, Transformers, Docker/CI, vector DBs (FAISS/Pinecone), PostgreSQL/MySQL --- Selected outcomes - Cut call-center load by 60% with a real-time voice agent (LiveKit + Whisper + XTTS + vLLM) - 3rd place – QTec Hackathon: CV-based supervision & anomaly detection (YOLO-World + multi-object tracking) - Top-3 Kaggle (public comp): book-price model with MAE = 3.4 - RAG + LLM apps that boosted engagement by 30% and reduced server response by 40% - Fine-tuned medical LLMs on OCR-generated datasets; shipped a production NL→SQL agent --- How I work - Product-first: clear problem framing, measurable KPIs, tight feedback loops - Production-grade: clean, documented code; tests, observability, graceful fallbacks - Research-aware: I track and adopt the latest papers/frameworks (e.g., RF-DETR) when they deliver ROI—not hype --- Hire me for - CV apps (detection/tracking/OCR), safety & proctoring, video analytics - Chatbots & RAG over your docs/data; agents that call tools/APIs - Voice bots for support, verification, scheduling, and automation - LLM fine-tuning/alignment, evaluation, and cost/perf optimization Let’s turn your AI idea into a reliable, high-impact product. Message me to discuss your project.

Senior Full Stack Developer (7+ yrs) specializing in Vue 3, Quasar, and Capacitor for cross-platform web and mobile apps, with Node.js, PostgreSQL, and Supabase on the backend. I've shipped production apps to the App Store (social/fitness, real estate marketplace) and built enterprise systems including AI-powered features (RAG pipelines with Genkit/Gemini), real-time systems (Socket IO), and SSO integrations. I turn product ideas into working, polished apps, from database design through deployment. Frontend : ✳️Vue 3 ✳️React ✳️Quasar Framework ✳️Capacitor Cross-Platform Mobile Apps ✳️HTML ✳️Javascript ✳️CSS3 Backend: ✳️Node.js ✳️Express.js ✳️Supabase Database: ✳️Firebase ✳️MongoDB ✳️Postgresql If you're available, let's have a quick call to go into details of your project. Best Regards, Hesham Tarek

I provide expert, high-volume data annotation to build the accurate, reliable datasets that fuel advanced AI and Machine Learning models. With over 8 years of specialized experience, I bridge the gap between raw data and model intelligence. Detailed Description: As a dedicated data annotation professional with more than 8 years of experience, I understand that data quality is the single most critical factor in the success of any AI/ML project. I don't just label data; I ensure it is meticulously curated, consistently annotated, and perfectly structured to train robust, unbiased, and high-performing models. My expertise spans across multiple data modalities and project complexities, from simple classification to intricate segmentation for cutting-edge applications. 🔍 My Core Annotation Expertise Includes: Image & Video: Bounding boxes, polygon segmentation (semantic & instance), keypoint/landmark annotation, line/spline annotation, video tracking (object & pose). Text & NLP: Named Entity Recognition (NER), sentiment analysis, intent classification, text classification, summarization, question-answering, dialogue tagging, and linguistic annotation. Audio & Speech: Transcription, speaker diarization, sound event tagging, emotion & sentiment labeling. LiDAR & Sensor Data: 3D point cloud segmentation, object tagging for autonomous vehicles and robotics. Data Curation & Collection: Data scraping, filtering, cleansing, and creating detailed annotation guidelines for team scaling. 🛠️ Proficient in the Full Suite of Industry Tools & Platforms: I am versatile and can work efficiently on your preferred platform or recommend the best tool for the job: Specialized Annotation Software: Labelbox, Scale AI, Supervisely, CVAT (Computer Vision Annotation Tool), V7 Labs, Hasty.ai. Open-Source & Desktop Tools: LabelImg, LabelMe, VGG Image Annotator (VIA), COCO Annotator, Docanno (for text). Cloud & Automation Platforms: Amazon SageMaker Ground Truth, Google Cloud AI Data Labeling, Datasaur, SuperAnnotate. Project Management & Collaboration: Jira, Trello, Asana, with expert use of Slack/Teams for seamless communication. ✅ What I Deliver - The Senior Advantage: Uncompromising Accuracy & Consistency: Rigorous quality checks, intra-annotator agreement (IAA) monitoring, and adherence to the finest details in your guidelines. Domain Knowledge: Experience across industries including autonomous vehicles, healthcare imaging, geospatial analysis, e-commerce, and conversational AI. Efficiency at Scale: Proven ability to manage large-volume projects through optimal tool utilization, process optimization, and, when needed, managing small annotation teams. Proactive Problem-Solving: I go beyond the task list to identify edge cases, suggest guideline improvements, and provide clear, actionable feedback to enhance dataset integrity.