Abraheem Rashid
career process

Experience

AI/ML Research & Engineering

I work at the intersection of machine learning research and real-world deployment. My roles span autonomous systems, federated and trustworthy AI research, national-scale cybersecurity AI, and production-grade ML systems in industry.

  • AI/ML Engineer

    Curium

    Feb 2026-Present

    Singapore (Remote)

    Curium pioneers Continuous Dynamic Calibration™ (CDC), a proprietary multi-sensor calibration platform spanning LiDAR, Radar, and Camera modalities, enabling rapid escalation of autonomous systems to Level 4 and 5 automation. I develop ML pipelines and AI algorithms for automated multi-sensor calibration, ensuring accuracy and reliability of perception data across ADAS and autonomous vehicle deployments.

    Founder

    Neura-X

    Nov 2024-Present

    London, UK

    Founded and lead Neura-X, a research-grounded AI consultancy at the intersection of applied AI and enterprise digitalisation. The firm translates frontier AI like RAG, agentic pipelines, efficient transformers, and trustworthy ML into production systems. Delivered engagements spanning computer vision, speech intelligence, and enterprise retrieval-augmented generation. Conducts independent research on efficient transformer architectures for long-context and irregular time-series data in cybersecurity contexts.

  • AI Researcher & Co-Investigator

    Telecommunications Research Lab (TRL), IBA

    Jul 2025-Present

    Pakistan (Remote)

    Promoted from Research Associate to AI Researcher and Co-Investigator within months of joining, in recognition of independent research capability and consistent contribution to the lab's publication pipeline (A* conferences and top-tier IEEE/ACM journals). Designing multi-frequency hierarchical learning frameworks that jointly address scalability, client heterogeneity, and catastrophic forgetting in federated settings. Developing a nested federated unlearning scheme enabling selective knowledge removal without full model retraining. Collaborating with researchers ranked in the top 2% globally based on citation impact; co-authors span the UK, US, UAE, Pakistan, Saudi Arabia, and Oman.

    Feb 2025-Jun 2025

    Government of Pakistan

    Contributed to the design and development of Pakistan's first AI-powered Security Operations Centre (SOC) toolset, a strategically critical initiative for deployment across all governmental organizations, designed to autonomously process and triage 25 million+ logs per day. Designed an end-to-end AI-powered SIEM pipeline from large-scale log ingestion through LLM-based threat classification to automated alert routing, replacing manual SOC Level 1 analyst operations at national scale. Recognised as the youngest engineer selected for Pakistan's National AI Research Team.