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I am a Master's student in Computer Software Engineering at Grand Canyon University, Phoenix, AZ. Previously, I received my Bachelor's degree in Computer Science from University of Silicon Valley, San Jose, CA and studied Computer and Information Sciences at Solano Community College, Fairfield, CA. My research interests lie in computer science and artificial intelligence, with a focus on AI applications in healthcare and security. I have experience as a Software Developer at Kaiser Permanente Regional Laboratory where I built React + Express web applications, and as a Freelance Full-Stack Developer developing SaaS applications with modern technologies. I am honored to have completed certifications in AI and Machine Learning in Healthcare from Stanford University School of Medicine and Google Project Management Professional Certificate. I am seeking full-time positions in 2026. Email / Resume / ResearchGate / LinkedIn / GitHub |
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Jaiveer Bassi Edge AI, Model Optimization, Deployment Presented a comprehensive pipeline for efficiently packaging and deploying AI models for edge inference using quantization, pruning, lightweight containerization, and specialized runtime frameworks. Achieved up to 4× model size reduction and 50–70% faster inference on edge devices with minimal accuracy loss, validated on MobileNet and other models deployed on embedded GPUs and CPUs. DOI: 10.13140/RG.2.2.23010.59844 |
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Jaiveer Bassi Deep Learning, Medical Imaging Built a reproducible ResNet-18-based classification pipeline for brain MRI scans using transfer learning and PyTorch. Classified brain tumors into four categories (glioma, meningioma, pituitary, healthy) from 7,000+ MRI images. DOI: 10.13140/RG.2.2.21638.28484 |
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Jaiveer Bassi Transformers, LLMs, Code Generation Researched balancing speed, accuracy, and efficiency for locally deployed LLM code assistants on consumer hardware. DOI: 10.13140/RG.2.2.30622.86081 |
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Jaiveer Bassi Adversarial AI, CNNs Analyzed cross-architecture adversarial attack transfer using FGSM, PGD, and CW on ResNet, VGG, and MobileNet (CIFAR-10). DOI: 10.13140/RG.2.2.16410.76489 |
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Jaiveer Bassi PyTorch, Deep Learning, Computer Vision, Matplotlib Implemented ResNet-18 from scratch and compared against a plain CNN to demonstrate why residual connections matter. Achieved 10% accuracy improvement through skip connections that solve the vanishing gradient problem. Includes comprehensive visualization suite with Grad-CAM attention maps, gradient flow analysis, and interactive Streamlit dashboard. [GitHub] |
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AI Model Packaging Library, developed as part of the Capstone Project (Milestone 5) for the Master of Science in Software Engineering at Grand Canyon University (GCU). |
Jaiveer Bassi Python, Docker, MLOps A Python library and CLI to package ML models into Docker images for fast inference deployment. Supports multiple model formats and optimized containerization. [GitHub] |
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A lightweight, self-contained Python project that simulates OSPF routing over a spine-leaf fabric and models VXLAN overlays with VTEPs and VNIs. No root privileges required and no Mininet dependency — this is a logical simulator for interview-ready demos. |
Jaiveer Bassi Python, Networking, VXLAN, OSPF Network simulation tool for VXLAN overlay networks with OSPF routing protocol implementation. Simulates spine-leaf fabric topology with VTEPs and VNIs. [GitHub] |
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Jaiveer Bassi Python, NumPy, Matplotlib An interactive Python tool that trains a multi-layer perceptron on a synthetic shapes dataset and maps its inner workings over time. Visualizes neuron activations, weight magnitudes, training loss, accuracy, and forward passes through animated network diagrams using Matplotlib. [GitHub] |
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Jaiveer Bassi PyTorch, Python, OpenCV, CUDA Designed a GUI tool to visualize adversarial attacks (FGSM, PGD, C&W, DeepFool) with real-time image comparisons, perturbation maps, and 3D surface plots. [GitHub] |
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Jaiveer Bassi C++, PyTorch, Python, PyGame Built a self-play chess engine with a C++ backend and PyTorch network, featuring bitboard move generation and real-time GUI visualization. Implements minimax with alpha–beta pruning and neural network evaluation for position assessment. [GitHub] |
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Jaiveer Bassi Streamlit, BioBERT, PubMed API, UMLS, Python Built a biomedical research platform with PubMed integration for querying abstracts, summarizing with BioBERT, and visualizing author–citation networks and keyword clusters. MedStract.net |
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Jaiveer Bassi OpenAI, React, Node.js, Supabase, Tailwind, PDFKit AI-powered resume analyzer with GPT-based feedback, ATS scoring, skills matching, Supabase backend, Tailwind UI, and PDF export. CareerTuner.org |