Asad Aziz

AI/ML Engineer specializing in building and deploying production-grade ML systems, including RAG pipelines, computer vision applications, and LLM integrations. Proficient in Python, TensorFlow, Flask, Streamlit, and Hugging Face, with hands on cloud deployment on Oracle OCI and Microsoft Azure. Graduating with a BS in Artificial Intelligence from KFUEIT in 2026, backed by 15+ deployed projects and Oracle Certified AI Foundations Associate credential.

Passionate about transforming complex AI research into scalable, high-impact real-world solutions.

AI/ML Engineer Intern at Virtual Soft (2026-01 – 2026-03)

• Integrated OpenAI GPT API to auto-generate 8+ structured business proposal sections (Executive Summary, Problem, Solution, Market Analysis, Roadmap, CTA) for freelancers and startups, reducing document creation time from 3 hours to 15 minutes (88% reduction).
• Engineered prompt chaining and context management logic with 90% generation success rate, ensuring consistent, hallucination-free AI output across 100+ test runs.
• Implemented PDF (ReportLab) and PPTX (python-pptx) export systems with 2 branded templates, delivering a fully functional MVP deployed on Vercel within a 1-week sprint for 25+ beta users.

Bachelor of Science in Artificial Intelligence – KHAWAJA FAREED UNIVERSITY OF ENGINEERING AND INFORMATION TECHNOLOGY (2022 – 2026)