
AI/ML Engineer
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AI Agent Design & Deployment: Architected and deployed autonomous AI agents for end-to-end business automation, intelligent decision-making, and real-time customer interaction.
OpenAI SDK, CrewAI, Claude, and custom Python-based solutions for the development of scalable agent-based systems in production environments. Multi-Agent Systems & Orchestration: Designed and implemented robust multi-agent architectures using LangChain and AutoGen, enabling agent orchestration for distributed problem-solving, research automation, and dynamic decision-making workflows. Focused on implementing agent communication protocols (ACP) and task distribution for optimizing performance.
Conversational AI & NLP Models: Developed sophisticated conversational AI systems by combining transformer-based models, including GPT-4, Claude, and Gemini, with Dialogflow, Rasa, and Gradio. Integrated intent recognition, entity extraction, and contextual state management to build highly responsive, scalable, and context-aware chatbots. Retrieval-Augmented Generation (RAG) Models: Integrated RAG-based models (Retrieval-Augmented Generation) for enhanced query resolution and information retrieval, employing techniques like knowledge distillation, semantic search, and document retrieval.
Utilized vector databases (e.g., Pinecone, FAISS) to store and index contextual data for faster retrieval.
AI/ML Engineer at Metadesk Global (2024-01 – Present)
AI Agent Design & Deployment: Architected and deployed autonomous AI agents for end-to-end business automation, intelligent decision-making, and real-time customer interaction.
OpenAI SDK, CrewAI, Claude, and custom Python-based solutions for the development of scalable agent-based systems in production environments. Multi-Agent Systems & Orchestration: Designed and implemented robust multi-agent architectures using LangChain and AutoGen, enabling agent orchestration for distributed problem-solving, research automation, and dynamic decision-making workflows. Focused on implementing agent communication protocols (ACP) and task distribution for optimizing performance. Conversational AI & NLP Models: Developed sophisticated conversational AI systems by combining transformer-based models, including GPT-4, Claude, and Gemini, with Dialogflow, Rasa, and Gradio. Integrated intent recognition, entity extraction, and contextual state management to build highly responsive, scalable, and context-aware chatbots. Retrieval-Augmented Generation (RAG) Models: Integrated RAG-based models (Retrieval-Augmented Generation) for enhanced query resolution and information retrieval, employing techniques like knowledge distillation, semantic search, and document retrieval. Utilized vector databases (e.g., Pinecone, FAISS) to store and index contextual data for faster retrieval.
Assistant Professor, Electrical & Computer Engineering Department at Comsats, Lahore (2023-01 – Present)
Lecturer, Electrical & Computer Engineering Department at Comsats, Lahore (2014-08 – 2023-01)
Research Associate (Power) at Planning Commission (Energy Wing) (2011-09 – 2014-03)
Management Trainee at Pakistan Telecommunication Authority (2010-06 – 2011-06)
PhD in Electrical Engineering – Information Technology University (ITU) of Punjab (2017 – 2022)
M.S in Electrical Engineering – NUST Islamabad (2010 – 2013)
B.S in Electrical Engineering – Comsats, Lahore (2006 – 2010)