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Toqeer
@mtoqeerzafar_
AI Engineer, Multi Agent Systems, LLM, RAG, MCP, Automation, n8n
Pakistan
Inglese, Urdu, Punjabi
Chi sono
I build enterprise-grade AI systems using LLMs, Voice AI, RAG, multi-agent orchestration, and scalable backend engineering. I develop AI receptionists, voice agents, copilots, knowledge platforms, RAG systems, autonomous workflows, and AI SaaS. Expertise: LangChain, LangGraph, CrewAI, Retell, Vapi, ElevenLabs, Twilio, n8n, FastAPI, Python, PostgreSQL, Redis, vector databases, Docker, AWS, Azure, GCP. I engineer secure, observable, production-ready architectures with APIs, microservices, tool calling, retrieval, verification, RBAC, monitoring, evaluation, and automation.
Competenze
Toqeer
offline •
Consulta i miei servizi
Siti Web e software IA
I will build enterprise rag llm and langchain ai applications
Portfolio
Esperienza lavorativa
AI/ML Engineer
Nestlé • Full time
Oct 2025 - Present • 10 mos
Design and develop enterprise-grade Agentic AI solutions that leverage Large Language Models (LLMs), Voice AI, Retrieval-Augmented Generation (RAG), multi-agent orchestration, and workflow automation to streamline business operations and enhance customer engagement. Build production-ready AI systems that integrate seamlessly with enterprise applications, ensuring scalability, security, reliability, and long-term maintainability. Experienced in solving complex business challenges through AI Voice Agents, intelligent customer support automation, AI receptionists, appointment scheduling, lead qualification, enterprise knowledge systems, MCP integrations, CRM and ERP automation, multi-agent workflows, conversational AI, backend engineering, API integrations, cloud-native deployments, and end-to-end enterprise AI platforms using technologies including LangChain, LangGraph, Retell AI, Vapi, n8n, FastAPI, Docker, AWS, Azure, and Google Cloud.
Agentic AI Engineer
Tata Consultancy Services • Full time
Jun 2024 - Sep 2025 • 1 yr 3 mos
Develop enterprise AI solutions that leverage machine learning, deep learning, large language models, and modern cloud technologies to automate complex workflows and generate business value. Design scalable architectures for intelligent applications, optimize model performance, integrate AI into production systems, and ensure solutions are secure, reliable, and maintainable. Experienced in tackling challenges such as intelligent document understanding, natural language processing, computer vision, predictive analytics, recommendation systems, distributed AI systems, workflow automation, MLOps, and cloud-native AI deployment.
