Robotics & AI Software Engineer Intern

PARISHI SHAH

San Jose, CA 341-***-**** *************@*****.*** linkedin.com/in/parishi-shah-shah github.com/parishis-shah EDUCATION

San Jose State University — San Jose, CA 2026 – 2028 (Expected) Bachelor of Science in Software Engineering

TECHNICAL SKILLS

Languages: Python, C++, C, Java, JavaScript, ARM Assembly AI/ML & LLMs: RAG, FAISS, Sentence Transformers, Whisper, LLM APIs Robotics & Embedded: ROS 2, ROS, 6-DOF Robotic Arm Control, Cartesian Motion Control, Raspberry Pi, Sensors, Linux/Ubuntu Web & Databases: HTML, CSS, Flask, MySQL, Responsive Web Design, Data Visualization Tools & Platforms: Git, GitHub, VS Code, Visual Studio, Click/argparse, PyPI Packaging Concepts: Data Structures, Algorithms, Object-Oriented Programming, Memory Management, Debugging EXPERIENCE

Robotics Software/Hardware Intern — Santa Clara University, Santa Clara, CA Jun 2026 – Aug 2026

• Developed ROS 2 control features in Python and C++ for a 6-DOF robotic arm, enabling remote movement and rotation commands from a web interface.

• Implemented Cartesian positioning across all six axes (X, Y, Z, roll, pitch, yaw) using ROS 2 nodes, topics, publishers, and subscribers.

• Diagnosed and resolved ROS dependency, package, and inter-node communication failures on Linux/Ubuntu, keeping arm control reliable throughout testing.

• Collaborated through Git/GitHub on a shared codebase spanning navigation, sensor integration, and control. Web Developer Intern — Wish My Trip May 2025 – Aug 2025

• Developed and updated web pages with HTML, CSS, and responsive design, improving layout and user experience across screen sizes.

• Tested and debugged pages for functionality, cross-browser compatibility, and performance using VS Code and browser developer tools.

• Managed code changes and feature releases through Git/GitHub, maintaining clean version history. PROJECTS

TrainWise AI — AI-Powered Employee Training Assistant (Hackathon) — Python, Flask, Whisper, FAISS, RAG 2026

• Built an AI training assistant using Retrieval-Augmented Generation (RAG) that lets employees search company training videos and get answers through natural-language queries.

• Integrated Whisper, Sentence Transformers, and FAISS to transcribe videos, generate embeddings, and run semantic search with timestamped video references.

• Designed a privacy-focused retrieval system with company-specific content and source-grounded responses to reduce misinformation, with secure data access controls planned. AI-Powered Git Commit Message Generator — Python, Click/argparse, LLM API, PyPI 2026

• Building a CLI tool that analyzes git diff output through an LLM API and generates clear, Conventional Commits-formatted messages.

• Designed for direct developer-workflow integration as a standalone CLI, with a VS Code extension planned as the next milestone.

• Packaging and publishing the tool to PyPI for public installation by other developers. GitHub Code Quality Dashboard — Python, JavaScript, MySQL 2026

• Built a dashboard that scans source files from GitHub repositories for line count, function count, comment counts, and readability issues.

• Stored scan results in MySQL and surfaced them through interactive charts and filters. LEADERSHIP

Adobe Student Ambassador — San Jose State University Sep 2026 – Present

• Represent Adobe on campus, promoting student programs, creative technology, and career opportunities.

• Plan and support workshops and campus events that connect students with Adobe tools and resources. PARISHI SHAH

San Jose, CA 341-***-**** *************@*****.*** linkedin.com/in/parishi-shah-shah github.com/parishis-shah EDUCATION

San Jose State University — San Jose, CA 2026 – 2028 (Expected) Bachelor of Science in Software Engineering

TECHNICAL SKILLS

Languages: Python, C++, C, Java, JavaScript, ARM Assembly AI/ML & LLMs: RAG, FAISS, Sentence Transformers, Whisper, LLM APIs Robotics & Embedded: ROS 2, ROS, 6-DOF Robotic Arm Control, Cartesian Motion Control, Raspberry Pi, Sensors, Linux/Ubuntu Web & Databases: HTML, CSS, Flask, MySQL, Responsive Web Design, Data Visualization Tools & Platforms: Git, GitHub, VS Code, Visual Studio, Click/argparse, PyPI Packaging Concepts: Data Structures, Algorithms, Object-Oriented Programming, Memory Management, Debugging EXPERIENCE

Robotics Software/Hardware Intern — Santa Clara University, Santa Clara, CA Jun 2026 – Aug 2026

• Developed ROS 2 control features in Python and C++ for a 6-DOF robotic arm, enabling remote movement and rotation commands from a web interface.

• Implemented Cartesian positioning across all six axes (X, Y, Z, roll, pitch, yaw) using ROS 2 nodes, topics, publishers, and subscribers.

• Diagnosed and resolved ROS dependency, package, and inter-node communication failures on Linux/Ubuntu, keeping arm control reliable throughout testing.

• Collaborated through Git/GitHub on a shared codebase spanning navigation, sensor integration, and control. Web Developer Intern — Wish My Trip May 2025 – Aug 2025

• Developed and updated web pages with HTML, CSS, and responsive design, improving layout and user experience across screen sizes.

• Tested and debugged pages for functionality, cross-browser compatibility, and performance using VS Code and browser developer tools.

• Managed code changes and feature releases through Git/GitHub, maintaining clean version history. PROJECTS

TrainWise AI — AI-Powered Employee Training Assistant (Hackathon) — Python, Flask, Whisper, FAISS, RAG 2026

• Built an AI training assistant using Retrieval-Augmented Generation (RAG) that lets employees search company training videos and get answers through natural-language queries.

• Integrated Whisper, Sentence Transformers, and FAISS to transcribe videos, generate embeddings, and run semantic search with timestamped video references.

• Designed a privacy-focused retrieval system with company-specific content and source-grounded responses to reduce misinformation, with secure data access controls planned. AI-Powered Git Commit Message Generator — Python, Click/argparse, LLM API, PyPI 2026

• Building a CLI tool that analyzes git diff output through an LLM API and generates clear, Conventional Commits-formatted messages.

• Designed for direct developer-workflow integration as a standalone CLI, with a VS Code extension planned as the next milestone.

• Packaging and publishing the tool to PyPI for public installation by other developers. GitHub Code Quality Dashboard — Python, JavaScript, MySQL 2026

• Built a dashboard that scans source files from GitHub repositories for line count, function count, comment counts, and readability issues.

• Stored scan results in MySQL and surfaced them through interactive charts and filters. LEADERSHIP

Adobe Student Ambassador — San Jose State University Sep 2026 – Present

• Represent Adobe on campus, promoting student programs, creative technology, and career opportunities.

• Plan and support workshops and campus events that connect students with Adobe tools and resources. Languages: Python, C, C++, Java, JavaScript, ARM Assembly AI/ML & LLMs: RAG, FAISS, Sentence Transformers, Whisper, LLM APIs Systems & Embedded: Linux/Ubuntu, ROS 2, Docker, ARM, RISC-V, Sensors Web & Databases: Flask, HTML/CSS, JavaScript, MySQL, Web APIs Tools & Platforms: Git/GitHub, VS Code, GCC, GDB, VirtualBox, Linux CLI, Docker Concepts: Data Structures, Algorithms, Computer Architecture, Memory Management, Debugging

• Implemented Cartesian control across 100% of six target motion axes (X, Y, Z, roll, pitch, yaw) using ROS 2 nodes, topics, publishers, and subscribers.

Undergraduate AI Research Assistant — AI for Accessible Education Jan 2026 – May 2026 San José State University Faculty Advisor: Professor Raupaul

• Developed an AI-powered educational assistant using Python, Whisper, FAISS, and Retrieval-Augmented Generation (RAG) to improve learning accessibility for underserved students.

• Conducted experiments evaluating LLM accuracy, semantic retrieval performance, response latency, and hallucination rates to improve AI reliability.

• Collaborated with Professor Raupaul to investigate scalable, cost-effective AI solutions for nonprofit educational organizations. UTF-8 Analyzer — C, Linux, Docker 2026

• Built a low-level C utility to parse UTF-8 bytes, count Unicode code points, and identify invalid byte sequences.

• Compiled and tested the program in a Linux Docker container, debugging character encoding and input parsing. LEADERSHIP

Adobe Student Ambassador — San Jose State University Sep 2026 – Present

• Represent Adobe on campus, promoting student programs, creative technology, and career opportunities.

• Plan and support workshops and campus events that connect students with Adobe tools and resources.

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