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Ahmed Bilal

NUST · 2026 · 417936
Email
abilal.bese22seecs@seecs.edu.pk
Phone
923065199731
LinkedIn
https://www.linkedin.com/in/ahmed-bilal-8-se
GitHub

Academic

Program
CGPA
3.43
Year
2026
Education
Software Engineering School of Electrical Engineering and Computer Science , Islamabad , 3.43/4.00 (2026)
Address
543D BLOCK ,MILLAT TOWN ,FSD. , Faisalabad , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Final-year Software Engineering student at NUST with production experience in AI/ML, automation and backend architecture. Skilled in building context-aware agents and RAG pipelines, with hands-on experience running local LLMs via Ollama and exploring the basics of fine-tuning. Recently, I have been working with the Model Context Protocol (MCP) and MLOps tools to bridge the gap between experimental AI and reliable production code. My focus is on designing solutions that address real operational needs, during my time at Antematter, I architected multi-agent systems that automated 90% of bookings for a global client. I maintain a strong foundation in data structures and algorithms (Top 3% on LeetCode) and am eager to join engineering teams where I can contribute to autonomous AI systems, scalable backend architectures, and cloud-native solutions. Full projects and achievements are detailed in my CV: https://drive.google.com/file/d/1MX2Ll0gQe3VkI3Siwj3tIIxw4qG8YQ8R/view?usp=sharing Portfolio: https://ahmedbilal.vercel.app Github: https://github.com/ahmedbilal008 EDUCATION Software Engineering School of Electrical Engineering and Computer Science , Islamabad , 3.43/4.00 (2026) INTERNSHIP EXPERIENCE ANTEMATTER 02-Jul-2025 - 17-Oct-2025 AI Intern - Contributed to a multi-agent email automation system that now automates 90% of bookings for a global black-car client that operates in 40+ countries and has served 60% of the Fortune 100. - Designed deterministic prompt templates, intent classifiers, and extraction schemas; integrated LLM components with private booking APIs via n8n multi-workflow HTTP calls to automate client requests and escalate edge cases to human agents. - Contributed across the lifecycle of a generic AI agent framework, from development and testing to documentation and refinement, ensuring robust schema validation and consistent output handling. FINAL YEAR PROJECT Federated Data Lakes and Intelligent Healthcare Management for Pakistan Developing a healthcare data platform addressing medical data fragmentation across Pakistani hospitals. Inspired by international data governance initiatives and growing awareness around patient data privacy, the system enables secure data federation while keeping patient data decentralized at individual healthcare centers. The system provides multiple portals for different user roles. Doctors can manage schedules and conduct AI-assisted checkups that help extract clinical information and insights from consultations, patients can book appointments and access their medical history, and administrative staff can oversee operations. The core challenge addressed is enabling nationwide health analytics without compromising patient privacy or hospital autonomy. When researchers need access to data for studies, the system implements temporal, minimum-privilege credentials scoped only to the specific data partitions required for approved queries. This ensures researchers access only what is necessary, and these access rights automatically expire, preventing long-term data exposure. TECHNICAL EXPERTISE

AI enrichment

Final-year Software Engineering student at NUST with production experience in AI/ML, automation and backend architecture. Skilled in building context-aware agents and RAG pipelines, with hands-on experience running local LLMs via Ollama and exploring the basics of fine-tuning. Recently, I have been working with the Model Context Protocol (MCP) and MLOps tools to bridge the gap between experimental AI and reliable production code. My focus is on designing solutions that address real operational needs, during my time at Antematter, I architected multi-agent systems that automated 90% of bookings for a global client. I maintain a strong foundation in data structures and algorithms (Top 3% on LeetCode) and am eager to join engineering teams where I can contribute to autonomous AI systems, scalable backend architectures, and cloud-native solutions. Full projects and achievements are detailed in my CV: https://drive.google.com/file/d/1MX2Ll0gQe3VkI3Siwj3tIIxw4qG8YQ8R/view?usp=sharing Portfolio: https://ahmedbilal.vercel.app Github: https://github.com/ahmedbilal008
Status: ai_done
Provenance
Source file:
Created: 1777448793