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Click here or scroll down to respond to this candidateAugust 2024Candidate's Name
+1 (Street Address )-815-3837 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE Candidate's Name .com EDUCATIONBachelor of Science, Computer Science Expected Graduation: May Street Address University of Cincinnati, Cincinnati, OH GPA: 3.8 Honors and Awards: 4x Deans List, CEAS International Outreach Scholarship, UC Global Scholarship, Transfer Ambassador @CEAS SKILLS Programming Languages: Python, C/C++, Java, JavaScript, TypeScript Frameworks/Libraries: Express.js, React, Next.js, Node.js Front-End Technologies: HTML, CSS, Bootstrap, Tailwind, Semantic UI Databases: MySQL, MongoDB, PostgreSQL Operating Systems/Tools: Visual Studio, Unix/Linux, Git/GitHub Network and System Engineering: AWS Certified Solutions Architect Associate, Docker, Kubernetes EXPERIENCESoftware Engineer Intern @Intel May24-Aug24 Developed significant features that impacted both internal and external stakeholders, while working independently and within teams Specialized in Git version control, deploying Python automation scripts for RESTful APIs, and creating front-end applications for hardware test suites. Utilized Postman for API testing and debugging to ensure robust and reliable integrations Designed and implemented UI enhancements, collaborated with UX designers and product leads to engineer a system that reduced testing time by over 8x through parallel testing across multiple device generations PDK Technical Intern @Intel May23 -Aug23 Administered JIRA, developing customized workflows and dashboards while conducting extensive training and onboarding sessions for the PDK team. Empowered team members with proficient JIRA skills for effective issue tracking and project management Created a real-time visibility dashboard using Power BI and internal Intel tools, offering comprehensive insights into the progress and status of issues within the PDK team Collaborated on the development of a robust 5000+ line Python Scorecard script for the Power BI Dashboard, showcasing rapid learning and the ability to deliver production-ready code soon after joining Software Developer @UC-CEAS Mar23 -June23 Orchestrated and partnered with a student software developer to execute the Software Development Life Cycle (SDLC) to devise a scalable and interoperable Python/PowerShell script using FFmpeg and Beautiful Soup libraries within a two-week deadline Conducted extensive research on various Python modules to implement custom scripts utilizing the VLC media player, achieving significant efficiency in data-scraping and frame-extraction for over 1000 movies in 2 months PROJECTS & EXTRACURRICULARMAKEUC(Hackathon) Developed robust backend solutions using KeystoneJS to manage data models and provide a GraphQL API, while leveraging Prisma for efficient and type-safe database interactions Engineered a dynamic and responsive UI using Next.js 13+ and Tailwind CSS, while ensuring a seamless user experience with modern front-end technologies Enhanced data fetching and manipulation through GraphQL, allowing precise and flexible client-server communication, reducing over- fetching, and improving application performanceReal Estate Value Prediction Model Developed a predictive model using linear regression to analyze over 10,000 property listings, accurately estimating real estate values with 95% precision. Provided valuable market insights for investors Optimized the model using NumPy, pandas, and matplotlib libraries for enhanced efficiency. Refined data training and testing processes by leveraging Scikit-learn, optimizing model parameters, and reducing runtime by 25% BookStore MERN Full Stack Developed a full-stack application using Node.js, Express.js, MongoDB, and React, demonstrating expertise in both backend and front- end development Implemented RESTful APIs and CRUD operations to manage book records, ensuring robust functionality for create, read, update, and delete operations Created a responsive single-page application (SPA) using React, Vite, and Tailwind CSS, incorporating reusable components and client-side routing with React Router DOM Enhanced the application's user interface with visually appealing alerts, modal dialogs, and a card-based layout for displaying book lists, improving usability and aesthetics |
