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mtoqeerzafar_

Toqeer

@mtoqeerzafar_

AI Engineer, Multi Agent Systems, LLM, RAG, MCP, Automation, n8n

Paquistão
Inglês, Urdu, Panjabi
Algumas informações são exibidas no idioma inglês.
Sobre mim
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. ... Saiba mais

Habilidades

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mtoqeerzafar_
Toqeer
offline • 

Conheça meus serviços

Software e Sites de IA
I will build enterprise rag llm and langchain ai applications
A partir deUS$ 325 /projetoMais detalhes

Portfólio

Experiência profissional

Nestlé

AI/ML Engineer

Nestlé • Período integral

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.

Tata_Consultancy Services

Agentic AI Engineer

Tata Consultancy Services • Período integral

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.