Software Engineer

June ****

NISHIT GROVER

+1-602-***-**** ********@****.**.*** linkedin.com/in/grovernishit nishitgrover.com SKILLS

• Programming Languages: Python, C/C++, C#, Java, JavaScript, TypeScript, SQL

• Frameworks/Libraries: React, Next.js, Django, Express.js, Node.js, KeystoneJS, Prisma

• Front-End Technologies: HTML5, CSS, Bootstrap, Tailwind, Semantic UI

• Databases: MySQL, MongoDB, PostgreSQL

• Operating Systems/Tools: Visual Studio, Unix/Linux, Git/GitHub, JIRA, Power BI, Postman, Docker, Kubernetes

• Data & ML Tools: Pandas, NumPy, PyTorch, Scikit-learn, Matplotlib, JupyterLab, LangChain, Tableau, RAG EXPERIENCE

Software Engineer Intern – Intel Corporation May 2025 – Present

• Proposed, designed, and built a production-ready Python CLI tool to automate internal install workflows, reducing setup time by 40%

• Led end-to-end development: scoped requirements, modularized architecture, implemented dynamic config handling, and integrated robust logging and fail-safes

• Delivered multi-mode execution support (download/install/full) enabling flexible usage across diverse teams and legacy systems.

• Optimized performance and shell orchestration, cutting average runtime from 4 min to 2.5 min, with clean handoff and documentation for long-term maintainability

Software Engineer Intern – Intel Corporation May 2024 – Aug 2024

• Engineered Python automation scripts that reduced manual workload by 40 hours/month and improved integration efficiency by 30%

• Revamped test suite UIs using Flask and JavaScript, achieving an 8x speedup in execution and improved scalability

• Collaborated in Agile sprints with cross-functional teams, driving feature delivery across firmware and software validation stacks Application Engineering Intern – Intel Corporation May 2023 – Aug 2023

• Built a Python-based diff analysis tool to compare PDK kit releases and auto-generate HTML reports with annotated changes

• Automated directory parsing, structural diffing, and comment injection, cutting manual review effort by 90%

• Leveraged Jinja2 for clean report templating and regex/NLP heuristics for smart comment tagging

• Enabled standardized reporting and cross-team collaboration by integrating into internal QA and validation workflows Software Developer Intern – University of Cincinnati Mar 2023 – June 2023

• Developed scalable Python/PowerShell automation scripts under tight deadlines, supporting video frame extraction for 5,000+ movies

• Integrated FFmpeg and Beautiful Soup modules to optimize VLC scripting, boosting scraping speed by 50% and cutting frame extraction time by 35%

• Worked in Agile sprints, contributing to planning sessions and retrospectives while coordinating with peers to resolve requirements Undergraduate Research Assistant – University of Cincinnati Dec 2022 – May 2023

• Created automated testing frameworks using Python, Robot Framework, and Selenium to enhance traceability in scientific software

• Wrote modular test cases and maintained documentation to streamline collaboration with research and QA teams PROJECTS

RxRecruit: Healthcare Collaboration Platform Hackathon winner March 2025

• Built a real-time chat system for 500+ users with Socket.IO and integrated GPT-4 for AI assistance

• Designed role-based dashboards for doctors/patients using Next.js and Tailwind CSS

• Deployed on Vercel with a scalable MySQL backend via PlanetScale, ensuring high performance

• Developed a predictive model (95% accuracy) using linear regression + NLP on 10K+ records, reducing runtime by 25% FurrFect – Pet Adoption and Social Platform Personal Project Jan 2024 – Present

• Created a full-stack app with Node.js, Express, React, and Tailwind for pet adoption and community engagement

• Built secure REST APIs with Firebase Auth, JWT, and MongoDB for user management and data storage

• Enabled real-time notifications via Firebase Realtime DB; deployed on AWS for scalability and reliability MAKEUC Hackathon Organizer May 2024 – Nov 2024

• Developed backend with KeystoneJS and Prisma; exposed data via GraphQL API for scalable access

• Built interactive UI with Next.js 13+ and Tailwind CSS, focusing on performance and usability

• Optimized data fetching with GraphQL, reducing over-fetching and improving app responsiveness EDUCATION & CERTIFICATIONS

Bachelor of Science in Computer Science with Software Engineering Certificate - University of Cincinnati Aug 2025

● GPA: 3.8

● Honors and Awards: 8x Dean’s List, $15K CEAS International Outreach Scholarship, UC Global Scholarship, Transfer Ambassador @CEAS AWS Certified Solutions Architect – Associate Aug 2024 Microsoft Azure Fundamentals Aug 2023

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