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I am a software engineer and AI/ML researcher working at the intersection of robotics, technology, and community. I hold an M.S. in Computer Software Engineering from Grand Canyon University and a B.S. in Computer Science from University of Silicon Valley. I currently work as an AI Robot Operator at Physical Intelligence in San Francisco, generating training data for general-purpose robotics foundation models. I am also the Founder and Executive Director of House of Seva, a California nonprofit serving the Punjabi and South Asian community of Solano County. I have experience as a Software Developer at Kaiser Permanente Regional Laboratory and as an AI Response Evaluator at Handshake AI. My research interests span AI/ML, healthcare informatics, and embodied intelligence. I am seeking full-time Software Engineering and AI/ML 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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Python, Streamlit, ML, Anomaly Detection Built a synthetic robot fleet log analyzer featuring fault classification, recurrence detection, anomaly detection, and rule-based root cause analysis with a real-time Streamlit fleet health dashboard. Designed an end-to-end ML pipeline for processing structured log data across distributed robot systems, enabling automated triage and reporting without manual intervention. [GitHub] |
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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). |
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. |
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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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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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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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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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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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 |
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Next.js 14, TypeScript, WebAssembly, Vercel, REST APIs Built an order management web app with Next.js 14 (App Router, TypeScript) featuring real-time STL file analysis via a custom WebAssembly/JavaScript parser to calculate volume, dimensions, and print cost client-side. Integrates Etsy REST API, EasyPost for shipping, and Resend for automated emails. Powers a $2K+/month e-commerce business with a fully automated order pipeline. castline.studio |
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Swift, SwiftUI, AVAudioEngine, Swift Charts iOS tinnitus therapy app built from scratch with real-time audio synthesis using custom biquad IIR filters, pink/brown noise DSP, and a personalized notch filter tuned to the user's matched tinnitus pitch, with zero third-party dependencies. Includes guided habituation exercises and a progressive silence-exposure ladder grounded in Tinnitus Retraining Therapy principles, with Swift Charts tracking distress and awareness over time. [GitHub] |
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Languages: Python, TypeScript, JavaScript, SQL, C++, Java, HTML/CSS Robotics & Systems: Linux (systemd, dmesg, journalctl), USB/serial debugging, CAN bus fundamentals, C, x86-64 Assembly, Bash scripting, distributed system diagnostics Frontend: React, Next.js, Tailwind CSS Backend: Node.js, Express, Flask, RESTful APIs, Docker, Git, CI/CD, Serverless AI/ML: OpenAI API, LangChain, PyTorch, HuggingFace, RAG Pipelines, Prompt Engineering Data & Cloud: PostgreSQL, MongoDB, Supabase, Vercel, AWS, Google Cloud Other: WebAssembly, OAuth 2.0, Pandas, NumPy, OpenCV |
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HackerRank Software Engineer Certificate — Mar 2026 Cisco Network Support and Security — Sep 2025 IBM Artificial Intelligence — Aug 2025 Stanford AI/ML in Healthcare — Jun 2025 Google Project Management — Sep 2024 |