PORTFOLIO.
Building intelligent AI agents, advanced RAG pipelines, and scalable LLM applications. Turning complex machine learning concepts into high-performance, real-world solutions.
Software Engineering student with a strong focus on Generative AI, RAG (Retrieval-Augmented Generation), and LLMs. I don’t just learn theory—I build real projects.
Actively strengthening foundation in Machine Learning and Deep Learning—from classic ML algorithms to neural networks to design robust, practical solutions.
I share my work on GitHub and treat every project as proof of work. For me, it’s about building efficient systems, clean Python code, and AI projects that solve real problems. _
Actively learning and working on deep Machine Learning concepts and Generative AI architectures. Executing hands-on AI models and neural workflows.
Core focus on robust software development principles, data structures, algorithm design, scaling complex systems, and integrating AI.
Intelligent AI agent designed for automated negotiations.
A robust boilerplate utilizing Docker, Flask, and Redis.
A comprehensive system comparing Retrieval-Augmented Gen models.
Automated research tool for gathering and summarizing AI news.
A smart advisor leveraging AI for career path recommendations.
Fine-tuning Large Language Models for medical domain knowledge.
A secure, local chat interface for interacting with LLMs.
A demonstration of data anonymization and PII removal.
> AWAITING_CONNECTION...
> TARGET: ABDUL WASAY
> LOCATION: KARACHI, PAKISTAN
> EMAIL: abdulwasay2019kk@gmail.com