Abdul Momin

WORK HISTORY

EDUCATION

ABOUT ABDUL MOMIN

AI/ML Engineering Leader | Strategic AI Architect | Hands-on Expertise in LLMs, Multi-Agent AI, MLOps & Responsible AI I am a results-driven AI/ML engineering leader with over 14 years of experience in building, deploying, and scaling enterprise AI solutions. My expertise lies in leading high-performing AI teams while remaining deeply hands-on in cutting-edge AI/ML engineering. I specialize in developing LLMs, Multi-Agent AI systems, and MLOps-driven architectures to drive business impact in FinTech, Procurement AI, and Healthcare AI. I bridge the gap between AI innovation and enterprise-scale deployment, ensuring AI solutions are scalable, responsible, and impactful. My Core AI/ML Expertise: LLMs & Generative AI – Fine-tuning LLMs, training custom AI models (BERT, GPT, T5, Falcon, Mistral) Multi-Agent AI & RAG – Designing scalable multi-agent retrieval-augmented generation (RAG) systems MLOps & Model Optimization – Deploying ML pipelines with Ray, Kubeflow, MLflow, and Hugging Face AI Governance & Responsible AI – Implementing AI fairness, explainability (SHAP, LIME), and compliance (GDPR, ISO 27001) Cloud AI & Scalable ML – Architecting AI solutions in AWS, Azure, and GCP Fraud Detection & Risk Forecasting – AI-powered fraud detection, risk prediction, and analytics Notable AI/ML Achievements: Developed an AI-driven Procurement Automation System (GenAI-based S2P) Reduced manual efforts by 90% in supplier onboarding, asset management, and contract handling Built a Multi-Agent AI System for FinTech Fraud Detection Deployed a Kafka-based event-driven AI architecture, cutting fraud risk by 40% Optimized LLM Training for Scalable AI Solutions Designed AI Governance & Compliance Framework for Enterprise AI Ensured AI adherence to GDPR & ISO 27001, reducing model compliance risks by 50% I thrive at the intersection of AI engineering, MLOps, and strategic AI innovation—driving technical execution and leadership.