Ahmed Bilal

Academic

Career

Verbatim text

Ahmed Bilal
Cell: 923065199731 |  Email: bilalabc111@gmail.com
LinkedIn: https://www.linkedin.com/in/ahmed-bilal-8-se/
Address: 543D BLOCK ,MILLAT TOWN ,FSD. , Faisalabad , Pakistan
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