I am Muhammad Ahmad Bin Shafiq, a dedicated and skilled tech professional specializing in Natural Language Processing, AI engineering, and software development. Currently pursuing my Master of Science in NLP at Trier University, Germany, I have led and contributed to various innovative AI projects and multi-functional engineering teams, honing my expertise in Python, AI frameworks, and computer vision solutions. With international experience working remotely for companies in the United States and extensive leadership roles in Pakistan, I am passionate about delivering efficient, high-performance AI-driven solutions that optimize processes and enhance automation. Throughout my career, I have designed and implemented advanced multi-agent AI systems, automated regulatory compliance tasks, and built innovative computer vision applications. My strengths include team leadership, cloud platform integration, and creating scalable AI products for the financial and security sectors. I am eager to leverage my technical skills and creative problem-solving abilities to drive impactful projects and continue growing as a developer and AI engineer in the software and internet industry.

Muhammad Ahmad Bin Shafiq

I am Muhammad Ahmad Bin Shafiq, a dedicated and skilled tech professional specializing in Natural Language Processing, AI engineering, and software development. Currently pursuing my Master of Science in NLP at Trier University, Germany, I have led and contributed to various innovative AI projects and multi-functional engineering teams, honing my expertise in Python, AI frameworks, and computer vision solutions. With international experience working remotely for companies in the United States and extensive leadership roles in Pakistan, I am passionate about delivering efficient, high-performance AI-driven solutions that optimize processes and enhance automation. Throughout my career, I have designed and implemented advanced multi-agent AI systems, automated regulatory compliance tasks, and built innovative computer vision applications. My strengths include team leadership, cloud platform integration, and creating scalable AI products for the financial and security sectors. I am eager to leverage my technical skills and creative problem-solving abilities to drive impactful projects and continue growing as a developer and AI engineer in the software and internet industry.

Available to hire

I am Muhammad Ahmad Bin Shafiq, a dedicated and skilled tech professional specializing in Natural Language Processing, AI engineering, and software development. Currently pursuing my Master of Science in NLP at Trier University, Germany, I have led and contributed to various innovative AI projects and multi-functional engineering teams, honing my expertise in Python, AI frameworks, and computer vision solutions. With international experience working remotely for companies in the United States and extensive leadership roles in Pakistan, I am passionate about delivering efficient, high-performance AI-driven solutions that optimize processes and enhance automation.

Throughout my career, I have designed and implemented advanced multi-agent AI systems, automated regulatory compliance tasks, and built innovative computer vision applications. My strengths include team leadership, cloud platform integration, and creating scalable AI products for the financial and security sectors. I am eager to leverage my technical skills and creative problem-solving abilities to drive impactful projects and continue growing as a developer and AI engineer in the software and internet industry.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced
German
Beginner

Work Experience

Lead Python Developer | MLOps Engineer at wAI Industries
June 1, 2025 - August 21, 2025
Led an 8-engineer cross-functional team in developing enterprise AI agents and Large Language Model implementations for regulatory compliance and automation. Architected the Multi-Agent Regulatory System (MARS) to automate 60% of manual regulatory tasks with 95% accuracy in .rul file generation. Engineered a high-performance AI platform integrating LiteLLM, Langfuse, and Librechat frameworks, achieving over 4,000 requests per minute with 15% cost reduction. Developed MemGPT and Autogen multi-agent architecture with unlimited context processing, automating 90% of classification tasks with 94% accuracy improvement. Created a proprietary Multi-Agent library with RAG and intelligent LLM caching using Qdrant vector database, reducing API calls by 40% and delivering 3x faster response for multiple enterprise clients.
Technical Team Lead - Python at ISSM
February 1, 2024 - August 21, 2025
Directed teams of 6-12 engineers across multiple departments, architecting AI-integrated backend systems and computer vision solutions targeting banking and security. Developed an enterprise conversational AI platform with multi-modal chatbots achieving sub-3-second response times, deployed in 6+ enterprises. Product Owner for Digital Facilitation Desk, an intelligent conversation logging system using deep learning, processing over 1,000 daily conversations across 50+ bank branches. Designed an automated Digital Cheque Verification system using YOLO and AWS Textract OCR, reducing manual verification by 60%. Implemented real-time action recognition smart CCTV monitoring detecting 15+ human actions for immediate security alerts. Built an AutoML Image Annotation Tool accelerating training data preparation and designed a Facial Liveness Detection system with anti-spoofing for secure biometric authentication.
Software Engineering Intern at Ninesol
April 1, 2021 - August 21, 2025
Collaborated across Mobile App Development, QA, Networks, and UI/UX teams on multiple cross-functional projects. Tested over 15 mobile application features, significantly reducing bug reports through comprehensive quality assurance processes.
Lead Python Developer | MLOps Engineer at wAI Industries
June 1, 2025 - August 21, 2025
Led an 8-engineer cross-functional team developing enterprise AI agents and Large Language Model implementations for regulatory compliance and automation. Architected the Multi-Agent Regulatory System using Model Context Protocols and Google A2A Protocol to automate 60% of manual regulatory tasks with 95% accuracy. Engineered a high-performance AI platform integrating LiteLLM, Langfuse, and Librechat frameworks, achieving over 4,000 requests/minute throughput and 15% cost reduction. Created MemGPT and Autogen multi-agent architecture enabling unlimited context processing and automating 90% of classification tasks with a 94% accuracy improvement. Developed a proprietary Multi-Agent library with Retrieval-Augmented Generation and intelligent LLM caching using Qdrant vector database, reducing API calls by 40% and speeding response times by 3x for multiple enterprise clients.
Technical Team Lead - Python at ISSM
February 1, 2024 - August 21, 2025
Directed teams of 6-12 engineers across departments to architect AI-integrated backend systems and computer vision solutions for banking and security sectors. Led development of a conversational AI platform supporting multi-modal chatbots with sub-3-second response times deployed at 6+ enterprises. Served as product owner for Digital Facilitation Desk, an intelligent conversation logging system using deep learning and computer vision, managing over 1,000 daily conversations across more than 50 bank branches. Designed automated Digital Cheque Verification using YOLO and AWS Textract OCR, replacing 60% of manual verification. Implemented real-time action recognition smart CCTV monitoring detecting over 15 human actions and enabling security alerts. Created an AutoML Image Annotation Tool with FastAPI to accelerate training data preparation for vision models and developed a Facial Liveness Detection system with anti-spoofing for secure biometric authentication.
Software Engineering Intern at Ninesol
April 1, 2021 - August 21, 2025
Collaborated across Mobile App Development, QA, Networks, and UI/UX teams on 3 cross-functional projects. Tested over 15 mobile application features improving bug detection through comprehensive quality assurance processes.

Education

Master of Science in Natural Language Processing (NLP) at Trier University
October 1, 2024 - August 1, 2026
Bachelor of Science in Computer Science at COMSATS University Islamabad
February 1, 2019 - February 1, 2023
Master of Science in Natural Language Processing (NLP) at Trier University
October 1, 2024 - August 1, 2026
Bachelor of Science in Computer Science at COMSATS University Islamabad
February 1, 2019 - February 1, 2023

Qualifications

Machine Learning (Stanford University)
January 11, 2030 - August 21, 2025
Deep Learning Specialization (DeepLearning.ai)
January 11, 2030 - August 21, 2025
AI for Everyone (DeepLearning.ai)
January 11, 2030 - August 21, 2025
Getting Started with TensorFlow 2 (Imperial College London)
January 11, 2030 - August 21, 2025
Machine Learning (Stanford University)
January 11, 2030 - August 21, 2025
Deep Learning Specialization (DeepLearning.ai)
January 11, 2030 - August 21, 2025
AI for Everyone (DeepLearning.ai)
January 11, 2030 - August 21, 2025
Getting Started with TensorFlow 2 (Imperial College London)
January 11, 2030 - August 21, 2025

Industry Experience

Software & Internet, Financial Services, Professional Services, Retail, Government, Transportation & Logistics