Development Engineer Software

DISHA PATEL

New Jersey, USA LinkedIn ***********@*****.*** +1-530-***-****

PROFESSIONAL EXPERIENCE

Intel Corporation, Santa Clara, California Feb 2023 – Aug 2025 Cloud Software development Engineer

• Built an early version of the platform using Slurm to manage GPU workloads, Set up JupyterHub with Azure AD authentication, dynamic user creation using webhooks, Created multiple backend APIs and database designs, Wrote advanced SQL queries to pull and update data.

• Developed container-based user environments with persistent storage and pre-installed libraries, enabling users to select from pre-built Docker images to trigger specific AI models without extra setup—boosting scalability, security, and user flexibility by 80%

• Designed and deployed a JupyterHub platform integrated with AI-ready GPU environments, enabling users to run diverse workloads— including LLMs, RAG, and generative AI tools such as Hugging Face Transformers, DeepSeek, text-to-image, and image-to-image models— resulting in a 70% improvement in model experimentation speed and resource utilization efficiency.

• Built a smart GPU scheduling system that assigns hardware based on model requirements to optimize performance and resource usage. Enhanced the JupyterLab interface with custom features such as timers, pop-up alerts, and improved error messaging to boost user experience and productivity.

• Installed and configured AI frameworks such as PyTorch, TensorFlow, OpenVINO, Triton, and Intel Quantum SDK to deploy, optimize, and manage models on Intel GPUs and Habana Gaudi cards—boosting scalability and performance across generative AI, DeepSeek, speech recognition, computer vision, and quantum-aware workloads.

• Developed a scalable microservice to manage user sign-ups and intelligently route requests to appropriate AI models; implemented a coupon-based access system to regulate premium model usage—enhancing user access control and reducing unauthorized usage by 60%.

• Deployed Prometheus for real-time system health monitoring and Nessus for automated vulnerability scanning; integrated Calico and Istio to enforce zero-trust security policies and manage inter-service traffic—improving system observability and reducing potential risks by 70%.

• Led the SDL-E project, overseeing Black Duck BOM management and executing comprehensive vulnerability scans using Coverity, Trivy, and Protex—ensuring 100% compliance with security standards and significantly reducing exposure to open-source and code-level risks.

• Collaborated with software, validation, and DevOps teams to integrate advanced validation techniques, improving error detection accuracy by 35% and reducing debugging efforts.

Intel Corporation, Santa Clara, California Aug 2022 – Dec 2022 Graduate Technical Intern, Cloud

• Built proof-of-concepts for cloud-based services and developed a full-stack web application using React (frontend) and Python (backend), enabling scalable and user-friendly access to key services. Integrated JupyterHub with authentication and role-based access to support seamless data science workflows, allowing multiple users to launch and manage environments without extra setup.

• Enabled SSH access and implemented job accounting dashboards to track GPU/CPU resource usage, providing real-time visibility into workload distribution and optimizing cost management. Delivered system status monitoring for servers and nodes using Prometheus and Grafana, creating live dashboards that improved troubleshooting speed and reduced downtime by 25%. Intel Corporation, Hillsboro, Oregon Mar 2022 – Aug 2022 Graduate Technical Intern

• Built a full-stack dashboard with React, JavaScript, CSS, and Bootstrap, creating a responsive and intuitive interface that improved user engagement and reduced manual data handling time. Developed and integrated Node.js with MongoDB on the backend to handle real-time data operations, optimize queries and ensure high availability for thousands of records.

• Enhanced usability by implementing features like multi-level data filtering, keyword search, inline editing and pagination—reducing manual effort by 40%. Tested, debugged, and deployed the application with Docker and Kubernetes, ensuring seamless CI/CD pipelines, automated scaling and smooth performance in production.

Cloud Web Labs, Ahmedabad, India May 2017 – Oct 2018 Software/Web Developer

• Developed Distinct Software for major clients using front-end Technologies like Node.js, HTML, CSS, Bootstrap, JavaScript, and PHP while the backend comprises of MySQL as the database to manage the data.

• Debugging and Testing the Software developed to meet the user requirements. End to End Deployment of the Software Developed by following SDLC lifecycle process.

ACADEMIC PROJECTS

Distributed Computing (Technologies used: AWS, Android, Java, Visual Studio, Android Studio) Apr 2021

• Enhanced a mobile learning application by adding new features and deploying it on mobile devices and the AWS cloud with a secure connection.

• Implemented server-side transaction processing and configured load balancing using IIS Web Farm for improved performance and scalability. Time Series Forecasting (Technologies used: Python) Mar 2020

• Developed algorithms for stock price prediction using Time Series Forecasting using Neural network (NN), Long short-term memory (LSTM), Convolutional neural network (CNN), utilizing data from the past 7 days.

• Analyzed different time frames to determine the most accurate period for making predictions. TECHNICAL SKILLS

• Programming Languages: C, C++, Java and Frameworks, Python, Golang, Shell (Bash), React, REST APIs, gRPC APIs, AI and ML Libraries, SQL, HTML, CSS, JavaScript, jQuery, Bootstrap, Node.js, XML

• Cloud & DevOps: Kubernetes, Docker, Helm, Ansible, AWS, Azure AD, Git, GitHub, Prometheus, Grafana, WekaFS, VAST Data, Amazon S3, MinIO

• Database: MySQL, Oracle, MongoDB, SQL Server Management Studio, Robo 3T

• Tools/Technologies used: VS Code, JupyterHub, JupyterLab, Tableau, Cursor, JIRA, Postman, Nginx, AppArmor, CrowdStrike Falcon, Nessus, Black Duck, Eclipse, NetBeans, Apache Tomcat, WordPress

• Operating Systems: Windows, Ubuntu/Linux/Unix, MacOS EDUCATION

California State University, Sacramento Dec 2022

Master’s in Computer Science

Gujarat Technological University, India May 2017

Bachelor’s in Information Technology

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