Syed Abeer Ahmed

My technical journey spans building production-ready ML models, designing scalable data pipelines, and conducting comprehensive security assessments. At Pakistan Customs, I developed an AI-driven document processing system that combines OCR, computer vision, and LLMs to automate nationwide document workflows. This project showcased my ability to integrate multiple AI technologies into cohesive solutions that handle real-world complexity.

I specialize in retrieval-augmented generation (RAG) systems, having built LLM-powered chatbots that make complex trade data accessible through natural language interfaces. My work involves everything from feature engineering and model optimization to deployment pipelines with robust monitoring and evaluation frameworks.

Security Background

As Associate Security Engineer at Sploitec, I've led penetration testing on high-profile platforms including Dubizzle Group's applications. I've identified over 40 vulnerabilities in single assessments, including critical flaws in authentication, file upload mechanisms, and API implementations. This security expertise informs my AI development, ensuring systems are both powerful and resilient.

Notable Achievements

• Designed custom scoring functions and feature engineering pipelines that significantly improved supervised ML model performance

• Built scalable ETL pipelines handling millions of records using parallel computing and optimization techniques

• Developed evaluation frameworks for AI systems ensuring reliability and scalability in production

• Led security assessments for healthcare, e-commerce, and financial platforms, delivering actionable remediation strategies

Technical Stack

I work extensively with Python for ML/AI development, utilizing frameworks like LangChain, FAISS, and Hugging Face Transformers. My data engineering toolkit includes PySpark, Pandas, and various API integration tools. For security work, I leverage Burp Suite, Metasploit, and custom reverse engineering workflows.

What Drives Me

I'm passionate about solving complex problems at the intersection of AI and security. Whether optimizing LLM performance, building fault-tolerant data pipelines, or identifying system vulnerabilities, I focus on delivering solutions that are elegant, scalable, and secure. I thrive in environments where innovation meets real-world impact, particularly in projects that affect millions of users.

I'm seeking opportunities where I can leverage my diverse skill set to build next-generation AI systems that are not just intelligent, but also trustworthy and robust.