Muhammad Shees

I am a versatile, goal-driven AI Engineer with a design-thinking mindset and a strong eye for detail. I enjoy building meaningful, intelligent solutions through collaboration, research, and hands-on development.

AI Engineer - PureLogics

(2024-11)

• Engineered Accelerate Learning, an AI-driven assessment platform using OpenAI, spaCy, and NLTK, featuring NLP-based question generation, auto-grading, and DALL-E image generation with scalable workflows.
• Built LegalBreeze, a RAG-based legal research assistant with OCR, FAISS vector indexing, and multi-turn Q&A with citations, delivering within Agile sprints while managing milestones and dependencies.
• Developed a Project Manager AI Agent using Flask and LangGraph for RAG pipelines, MoM generation, and automated email workflows from meeting transcripts, improving stakeholder communication.
• Developed a forensic data parser for SUMURI RECON ITR, enabling structured extraction of macOS, iOS, and boot artifacts, and supported plugin-level and global reporting within RECON's macOS forensic ecosystem.
• Mentored 30+ students at AI/Python Boot Camp in core AI and Python concepts, guiding end-to-end product builds through structured session planning, progress tracking, and documentation.

Computer Vision Engineer - Dyconix Engineering

(2024-09 - 2025-02)

• Developed a real-time computer vision + deep learning system for sugar crystallization monitoring, integrating PLCs via Modbus to automate control loops and improve production efficiency by 20%.

Bachelors of Science - Artificial Intelligence - Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI) (2020 - 2024)