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Maaz
@muhammadmaaz706
AI Engineer
Pakistan
Inglese, Urdu, Francese, Spagnolo
Chi sono
Stop settling for basic AI scripts. I build production-ready AI systems that solve real business problems.
I specialize in Agentic AI, RAG chatbots, and Computer Vision. I don’t just hand over a Jupyter Notebook, I engineer the full stack. From training LLMs to deploying scalable FastAPI backends, I deliver complete, automated solutions.
Whether you need workflow automation, custom AI agents, or real-time data pipelines, I build tools that scale.
Message me before ordering to discuss your project!
Competenze
Maaz
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Automazioni e agenti
I will fix n8n workflow errors bugs API integrations and webhooks
Portfolio
Esperienza lavorativa
AI Developer
MindBand • Full time
Aug 2025 - Present • 1 yr 2 mos
Build real-time NLP applications and RAG-based conversational agents for live audio processing and context-aware querying. Engineer scalable FastAPI backends, handling live audio streaming, JWT authentication, and automated backend workflows. Design and manage PostgreSQL databases to handle high-volume unstructured data and structured data for efficiency. Integrate LLMs and speech-to-text models to enable real-time entity extraction and automated data population during active sessions. Containerize and deploy services using Docker and AWS (EC2, ECS), ensuring scalable and production-ready infrastructure.
Business Workflow Automation Developer
Proscan • Full time
Jan 2025 - Jul 2025 • 6 mos
Designed and deployed LLM-driven automated pipelines to streamline complex operational, sales, and communication workflows. Integrated AI capabilities with business tools (CRMs, communication platforms, project management software) using n8n, Zapier, and Make.com. Built automated task-management and notification systems connecting communication channels with CRM data, significantly reducing manual tracking and accelerating pipeline response times.
Computer Vision Intern
IT Force • Full time
Jun 2024 - Dec 2024 • 6 mos
Developed production-ready computer vision pipelines for object detection, image classification, and yield estimation using YOLOv8 and CNN transfer learning. Built and optimized high-scale visual search engines leveraging CNNs for feature extraction and FAISS for fast vector similarity matching. Trained and fine-tuned image classifiers on complex datasets, utilizing data augmentation techniques to improve model robustness and accuracy.
