Jasnoor Matharu
AI Engineer and Computer Science student building intelligent multi-agent systems, cloud infrastructure, and full-stack applications.
Skills
Programming
Python, SQL, Dart, Java
LLM / AI Engineering
LangGraph multi-agent workflows, tool/function calling, conversational workflow design, evaluation & iteration
Backend & APIs
Flask, REST API design, SQLAlchemy, input validation, error handling, webhooks
Cloud & Infrastructure
AWS (ALB, RDS, EC2), Terraform IaC, autoscaling & load-balancing
Integrations & Testing
Twilio + Ngrok, third-party APIs (OpenAlex, arXiv), performance testing with k6
Experience
Founder & AI Engineer, Gradianza AI
Nov 2025 – Present- Architecting an AI-powered hotel receptionist using LangGraph with multi-path workflow design, handling general enquiries and admin tasks by connecting to hotel management platforms for end-to-end reservation lifecycle management.
Co-founder & AI Engineer, Heuris Tech
Mar 2025 – Present- Co-developed useoven.com, a proactive multi-agent LangGraph system that autonomously monitors codebases and fixes issues without user triggers. Backed by UQ ilab.
Academic Tutor, University of Queensland
Feb 2025 – Jun 2025- Facilitated tutorials and practical sessions for second-year students in Theory of Computing (COMP2048).
App Developer, Webcom
Dec 2024 – Feb 2025- Developed and deployed an internal Flutter-based mobile app enabling users to post and browse real estate listings, resulting in increased efficiency.
AI Engineer (Contract), WeCareNRI
Jun 2024 – Jul 2024- Co-developed and deployed server infrastructure, managing API routes and message delivery using Twilio and Ngrok.
- Developed a language model to deliver intelligent, context-aware responses on WhatsApp.
Projects
Valorant Match Predictor
Aug 2024Built a website using a boosting algorithm to predict Valorant matches with 82% accuracy. Calculated upset probabilities and provided betting suggestions.
View on GitHub →Auto Exam Scheduler
Mar – Jun 2025Co-designed a layered architecture using Spring Boot for university-scale exam scheduling. Built k6 performance tests and Terraform AWS infrastructure with ALB, RDS, and auto-scaling achieving 99.9% uptime.
View on GitHub →Melanoma Detection
Sep – Nov 2025Implemented and fine-tuned a Siamese network on the ISIC 2020 Kaggle dataset, achieving 80% accuracy. Developed balanced pair sampling and data augmentation to address 98:2 class imbalance.
Research Paper Link Explorer
Sep – Nov 2025Built a research paper graph generation backend using Flask and SQLAlchemy. Integrated OpenAlex and arXiv APIs for instant graph generation from millions of papers with 99% success rate.
Education
Bachelor of Computer Science, Machine Learning
Active member of UQCS, UQRL, and UQIS.
High School
Volunteered to tutor students, improving their math test grades by 25%.