Farhan Mohammad Naeem
Software Engineer @NCR Atleos
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WORK HISTORY
Software Engineer @NCR Atleos
SA
Led the design and development of enterprise-grade software solutions for self-service banking systems across 6+ major Saudi banks and financial institutions. Key Clients- ANB (Arab National Bank)- ALINMA Bank- STC Pay- Saudi Investment Bank- Banque Saudi Fransi- Saudi Payments Key Contributions- Architected and delivered full-stack ATM & kiosk software including ITMs, coin deposit machines, withdrawal machines & POS devices- Built TeleMoney Kiosk for ANB — self-service money transfer platform with card-based & web login, beneficiary management & transaction reporting- Implemented QR code cardless cash withdrawal system for STC Pay — enhancing ATM user experience- Developed PALM biometric authentication system for Saudi Payments — enabling cardless ATM access via palm recognition- Built secure backend services using Spring Framework, ASP.NET Core & .NET 6 with JWT + RSA authentication- Integrated banking protocols: NDC Enterprise, SOAP, REST, IBM MQ across multiple bank environments- Deployed & configured servers on bank-provided virtual machines across production & UAT environments- Implemented fingerprint authentication to enhance transaction security Tech Stack:AngularJS • ASP.NET Core • Spring Framework •.NET 6 - SQL Server • Oracle DB • Jenkins • Git • DockerJWT • RSA • SOAP • REST • IBM MQ • NDC Protocol
EDUCATION
University of Management and Technology - UMT
Bachelor's degree, Computer Science
Liverpool John Moores University
Master's Degree, Artificial Intelligence
ABOUT FARHAN MOHAMMAD NAEEM
I am a software engineer with over 8+ years of experience building enterprise-grade software systems in the financial technology sector. I have delivered production-level solutions for major Saudi banks, including ANB, Alinma Bank, STC Pay, and Saudi Investment Bank, working on highly reliable and secure banking platforms. Currently, I am pursuing an MSc in Artificial Intelligence at Liverpool John Moores University, where I am transitioning my strong software engineering background into advanced AI and machine learning systems. My current focus includes: 🤖 Natural Language Processing & Transformers (BERT, BioBERT) Retrieval-Augmented Generation (RAG) using FAISS and LangChain Machine Learning Pipelines & MLOps (MLflow, Docker, AWS) 🧠 Deep Learning & Model Fine-tuning (PyTorch, Hugging Face) As part of my research, I am developing a BioBERT-based extractive question-answering system for medical NLP. The system combines dense retrieval, synthetic dataset generation, and transformer fine-tuning to deliver accurate, domain-specific answers. I also hold the AWS Certified Cloud Practitioner certification and have a strong foundation in distributed systems, backend engineering, and cloud-based deployments. I am now focused on applying these skills to build intelligent, scalable AI systems in production environments.
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