Open to opportunities

bello Ahmed

@belloahmed

Message

Applied AI/ML engineer building real-time agentic AI, cybersecurity detection, and scalable backend systems.

United States

Message

What I'm looking for

I want to build production-grade applied AI/ML and agentic AI systems—real-time threat-aware models, scalable microservices, and trustworthy decisioning that’s measurable and reliable from research to deployment.

I’m an applied AI/ML engineer who blends machine learning with production-grade backend engineering and cybersecurity research. As a Graduate Research Assistant, I built distributed supervised and reinforcement learning pipelines (PyTorch, TensorFlow) for agentic AI threat classification—achieving 92% accuracy and a 15% false-positive reduction—and I reverse-engineered malicious Android APKs to develop detection frameworks now used in lab production systems.

In industry, I’ve shipped real-time decision engines and ML-powered services that directly moved business metrics. I designed and deployed adaptive personalization and pricing systems that increased revenue by 30%, led microservices migrations (C# ASP.NET Core, Docker, Kubernetes, Azure) for high-throughput ML inference and real-time feature serving to 1M+ monthly active users, and produced subscription-based ML APIs for real-time risk scoring that drove 20% revenue growth while cutting decision latency by 40%. I bring a research-to-production mindset—measuring rigorously, tuning aggressively, and delivering reliable systems.

Experience

Work history, roles, and key accomplishments

Current

Graduate Research Assistant

Current

Illinois State University

Aug 2024 - Present (1 year 10 months)

Built distributed supervised and reinforcement learning pipelines (PyTorch/TensorFlow) for real-time threat classification, achieving 92% accuracy and reducing false positives by 15% in agentic AI systems. Reverse-engineered malicious Android APKs and developed backend detection frameworks used in lab production systems.

PyTorch TensorFlow Reinforcement Learning PyTorch Threat Classification Agentic AI Weights Biases

Software Engineer

GIGM (God Is Good Mobility)

Oct 2021 - Jul 2024 (2 years 9 months)

Designed and shipped a real-time decision engine streaming analytics and predictive modeling, reducing operational incidents by 60%. Built and deployed adaptive personalization and pricing, increasing revenue by 30%, and led a microservices migration to support real-time ML inference for 1M+ monthly active users.

C#ASP.NET Core Microservices Docker Kubernetes Azure Real Time Analytics Machine Learning

Backend Engineer

Sterling Bank

Jan 2021 - Oct 2021 (9 months)

Architected and productionized subscription-based ML APIs on Microsoft Dynamics 365 with scalable microservices for real-time risk scoring and automated customer decisioning, driving 20% revenue growth. Implemented compliant ML scoring integration with real-time inference and auditability, reducing decision latency by 40%.

Microsoft Dynamics 365 Microservices Machine Learning APIs Risk Scoring REST APIs Distributed Systems

Education

Degrees, certifications, and relevant coursework

Illinois State University

Master of Science, Information Systems

Pursuing a Master of Science in Information Systems with an expected graduation of December 2026. Also serves as a Graduate Research Assistant specializing in machine learning, agentic AI, cybersecurity, and robotics.