Hey there 👋 My name is Shubhnoor!
I design, build, and deploy AI, automation, and data systems that create measurable business impact. My work spans across Data, AI, Analytics and Marketing for both startups and enterprise clients. I have the zeal to build new AI techniques and tools that help reduce the gap between accessibility and availability of products. 🎯
Being an intellectually curious individual 🧐, I like to dive deeper into the W-H Questions. In addition, I like to read articles and research papers 📜 related to new tech.
Visit my LinkedIn to walk through my professional journey.
- Delivering AI & automation workflows that reduce reporting effort by 70%
- Building production-ready Generative AI systems — Legal Contract Analysis (LLM + AWS + RAG)
- Creating executive dashboards using Looker Studio + BigQuery + Python
- Training organizations on AI adoption, literacy, and governance
- Leading 0→1 AI projects: requirements, KPIs, scoping, stakeholder alignment
- Publishing 100+ technical articles, playbooks, and documentation
- Vector Scholarship in AI Recipient (Top AI students in Ontario)
- Winner - Desjardins Fintech4Good Hackathon
- Published IEEE Research Paper (Computer Vision & AI)
- Author of 100+ technical articles
- Director of Communications — MMAI Program, Queen’s University
- Mentored in AI hackathon for Women, organized by AI Ladies Lounge and sponsored by Lovable
📌 ML classification + KMeans clustering → 78% macro-F1 score, 1.8x ROI improvement.
📌 LLM fine-tuning (Gemma), PEFT QLoRA, evaluator pipelines using LangChain.
🔹 AI Legal Contract Analyzer (PandoPartner)
📌 RAG pipeline that extracts selected fields in structured JSON from legal documents --> reducing onboarding time by 40% and personnel costs by 25%.
📌 Hand Gesture Recognition-Based Interactive Gaming
📌 Machine Learning, Deep Learning & Data Science Case Studies
📌 Predict cancer mortality (target death rate) using regression model
