M. ABDULLAH AHMAD
Welcome to My Portfolio
Exploring AI, ML & Data Science
BS. Computer Science
AI • ML • NLP • Deep Learning • LLMs • RAG • Data Visualization
About Me
Building AI tools that solve real problems, from RAG pipelines to autonomous agents.
I'm currently in my final semester of Computer Science. While I value the theory behind algorithms and data structures, my real passion lies in building practical things. I try to go beyond just wrapping OpenAI APIs—I enjoy diving into the architecture to build robust, full-stack machine learning solutions from the ground up.
Lately, I've been obsessed with Generative AI and agentic workflows. I spend my time building semantic-search pipelines, autonomous agents, and intelligent chatbots. For me, the most fun part is taking unpredictable LLM outputs and turning them into reliable, production-ready software.
Fluent in
Python & TS
Powered by
caffeine
Passionate about
AI Agents
Featured Projects
Interactive gallery showcasing AI/ML projects that push the boundaries of what's possible
HalluciGuard
An open-source hallucination detection pipeline that performs deep semantic validation on LLM outputs against long-form reference documents using interpretable AI.
ClipScript (FYP)
Built an autonomous video creation pipeline tailored for automated YouTube micro-niches. Integrated YouTube API with Meta Prophet forecasting and NLP to target high-velocity rising trends. Developed a LangChain Multi-Agent layer to automate research, scripting, and visual scene segmentation. Engineered an asynchronous pipeline routing asset rendering to a remote ComfyUI engine running LTX-Video.
FlowGen AI
Built an AI-powered automation platform that converts natural-language business processes into executable workflows. The system generates workflow nodes, simulates execution, runs automations through APIs/webhooks, monitors failures, applies self-healing retries, and adds human approval for sensitive actions like emails, database updates, and client operations.
Education and Certifications
My journey in Computer Science
BS Computer Science (8th Semester)
University of the Punjab
Nov 2022 - Sept 2026
Mastering core architectural principles through intensive coursework in Data Structures, Algorithms, and Database Management Systems. Leveraged this rigorous academic foundation to pivot heavily into applied Artificial Intelligence, architecting real-world ML pipelines and GenAI solutions.
Tech Stack
Technologies and tools I use to build intelligent systems
Programming Languages
AI/ML Frameworks
Data & Visualization
Tools & Platforms
Get In Touch
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