Parth Parikh

Hello! I’m Parth Parikh, a second-year Computer Science student at Georgia Tech focusing on Intelligence and Theory. I’m passionate about autonomous systems and enjoy exploring research in computer vision, machine perception, and robotics.

Outside of academics, I love photography and often spend time capturing the parks and scenery around Atlanta.

Feel free to reach out via email or connect on LinkedIn if you share similar research interests or just want to chat—I’d love to hear from you!

Programming Languages

Python · C · C++ · C# · Java · JavaScript · React · HTML/CSS

Machine Learning & AI

Machine Learning · Deep Learning · Reinforcement Learning · Computer Vision · Natural Language Processing · Hugging Face · LangChain · Prompt Engineering · GenAI

Libraries & Frameworks

ROS2 · PyTorch · TensorFlow · OpenCV · MediaPipe · YOLO · NumPy · Pandas · scikit-learn · Matplotlib · Flask · JUnit · Gymnasium

Tools & Platforms

Git · Docker · REST APIs · SQLite · MySQL · Firebase · Jupyter Notebooks · Jira · CI/CD Testing · Google Cloud Platform (GCP) · Cloud Run · D2 (Diagramming)

Other

Agile · Object-Oriented Programming · Cloud Computing · Research Skills · Project Management

Georgia Institute of Technology

Aug 2024 - Dec 2027

B.S. in Computer Science (Intelligence & Theory Threads)

Relavant Coursework: Machine Learning, Intro to Artificial Intelligence, Intro to Perception & Robotics, Data Structures & Algorithms, Design & Analysis of Algorithms, Computer Organization & Programming, Linear Algebra, Multivariable Calculus, Object-Oriented Programming

GPA: 4.0 / 4.0

CS50's Introduction to Artificial Intelligence with Python

Sep 2023 - Dec 2023

CS50's Introduction to Computer Science

Jan 2023 - Jun 2023

Undergraduate Researcher

Aug 2025 – Present

STAR Lab (Georgia Tech)

• Streamlined end-to-end setup and debugging of TurtleBot4 hardware platforms, developing a ROS 2 control framework to publish commands and interface with onboard sensors for live multi-robot experiments
• Implementing single- and multi-agent reinforcement learning algorithms, including Vanilla Policy Gradient and Proximal Policy Optimization (PPO), to explore foundational techniques and performance trade-offs
• Developing reinforcement learning strategies for heterogeneous multi-robot teams, focusing on multi-agent coordination, task allocation, and control policies to collaboratively push a box across obstacles to a target location

Head Teaching Assistant for Discrete Mathematics for Computer Science

Jan 2025 – Present

Georgia Institute of Technology

• Led 30 TAs to support 400+ students, instructing weekly recitations and answering 650+ questions on course forum on topics including logic, proof writing, complexity analysis, and encryption
• Wrote exams, homeworks, and practice materials and graded student HW and Exam submissions, providing feedback on proof construction and logical reasoning to enhance student understanding
• Designed and led a proof-writing workshop series for 370+ students, creating a structured, modernized curriculum that strengthened reasoning skills, improved exam performance, and established lasting resources for future cohorts

Research Mentor & Teaching Assistant

Jun 2025 – Jul 2025

Carnegie Mellon University

• Advised a student research team developing a system to isolate individual voices from duet recordings, leveraging a Dual U-Net + BLSTM architecture and a custom dataset of 5,000+ duet samples, and guiding the project from ideation through data collection and analysis
• Mentored 70 high school students in Discrete Mathematics and theoretical computer science (state machines, introductory programming), as well as hands-on lab work with large language models, including dataset cleaning and fine-tuning TinyLlama using Hugging Face and Jupyter Notebooks
• Organized community-building and social activities to foster collaboration beyond the classroom

Data Science Intern

May 2025 – Jun 2025

Revvo

• Drove RAG chatbot development project enabling fleet managers and the customer success team to consume fleet-wide tire health insights through natural language, while maintaining development under Git-based version control
• Developed and validated 4 Java APIs and applied prompt engineering to optimize LLM response accuracy and JSON data formatting, securely linking internal Firebase and SQL tire health data with an external LLM
• Modified dice similarity-based matching algorithm to improve data input handling for domain specific terms (e.g. tire position nomenclature)

Software Intern

Sep 2022 – Jan 2023

Beaumont Technologies

• Resolved 3 data-visualization bugs in a polymer flow analysis tool for injection-molding simulations (C#), enhancing data accuracy and user clarity
• Implemented interactive graphing enhancements, including a hover-to-bold feature and a probing tool for targeted point plotting, improving client presentation clarity and satisfaction
• Collaborated with a plastics engineer and a part-time remote software mentor to identify pain points and design solutions aligned with end-user needs

Big Data Big Impact

Aug 2024 – Present

President

• Directing 30+ board members and coordinating workshops, project teams, and events for 200+ Georgia Tech undergraduates, fostering hands-on experience in applied machine learning
• Overseeing 10 diverse AI/ML project teams tackling real-world applications, including financial analysis, data augmentation, and predictive modeling
• Driving engagement and participation, achieving over 70% higher kickoff attendance and 30% more project team applications than previous semesters

SimpliEarn Project Lead

• Led a team of 12 undergraduate students to create an interactive educational platform to analyze and interpret key insights from financial earnings calls for novice investors
• Oversaw the research and testing of sentiment analysis, emotion classification, and feature extraction tools for multimodal data (MISA, MuSE, Cross-Modal BERT), text data (RoBERTa, FinBERT, VaDER, SubjECTiveQA), and audio data (wav2vec, OpenSMILE)
• Provided feedback on the development and prompt engineering of a RAG-based chatbot to clarify questions or complex jargon from earnings calls

Flight Delay Prediction Analysis Team Member

• Collected and preprocessed nearly 120,000 rows of weather data corresponding to historical flight records via the OpenMeteo API, integrating it with a 6-million-row flight dataset to improve feature representation
• Trained and evaluated Random Forest, MLP, RNN, and XGBoost models in Jupyter Notebooks using TensorFlow, achieving 67% predictive accuracy
• Optimized deployment on Google Cloud Run, reducing model size by 83%, data usage by 90%, and training time by 80% while maintaining performance

PGSS Campaign

Sep 2023 – Present

Lead Class Agent

• Served on the PGSS Campaign Board of Directors as the Young Alumni Representative, contributing alumni perspectives to strategic fundraising and program funding decisions for the Pennsylvania Governor’s School for the Sciences
• Led class-wide fundraising initiatives, raising approximately $3,000 and achieving 25–50% participation during the Annual Alumni Challenge

SimpliEarn

Sep 2024 – Apr 2025

• Led the development of an interactive educational platform to analyze and interpret key insights from financial earnings calls for novice investors
• Oversaw the research and testing of time-series sentiment analysis and emotion classification features using multimodal and text data models (MISA, MuSE, RoBERTa, FinBERT, wav2vec, OpenSMILE)
• Provided feedback on development and prompt engineering for a RAG-based chatbot to clarify questions or complex jargon from earnings calls

Skills: Sentiment Analysis · Data Analytics · Retrieval-Aumented Generation (RAG) · Financial Technologies · Data Analysis

Flight Delay Detector

Aug 2024 – Apr 2025

• Collected and preprocessed nearly 120,000 rows of weather data corresponding to historical flight records via the OpenMeteo API, integrating it with a 6-million-row flight dataset to improve feature representation
• Trained and evaluated Random Forest, MLP, RNN, and XGBoost models in Jupyter Notebooks using TensorFlow, achieving 67% predictive accuracy
• Optimized deployment on Google Cloud Run, reducing model size by 83%, data usage by 90%, and training time by 80% while maintaining performance

Skills: Machine Learning · Jupyter · API · TensorFlow · Data Science · Google Cloud

SentinelCV

Sep 2024

• Developed a full-stack Flask/JavaScript web application with a Python backend for hospitals to reduce ulcer formation by notifying patients and nurses in case of inactivity
• Applied YOLO to detect patient positions, OpenCV to overlay positions on a live dashboard, and MediaPipe to track joint movements
• Placed 1st in the Magical Midway track for computer vision projects at HackGT 11

Skills: Machine Learning · MediaPipe · Python (Programming Language) · YOLO · OpenCV · Computer Vision

See++ Application

Sep 2024 – Apr 2025

• Developed a full-stack web application using Python, Flask, and JavaScript, enabling users to issue preset or custom voice queries alongside a live camera feed to interpret their surroundings
• Integrated the Gemini API to process queries and deliver real-time audio responses, creating an accessible tool for vision-impaired users

Skills: Flask · API · JavaScript · Google Gemini · Computer Vision

Sanskrit Text Summarization

Jul 2022 – Sep 2023

• Developed translation-based summarization pipeline by translating English summarization to Sanskrit via the Google Translate API using Python
• Tested translation-based summarization approach with English summarization as a baseline using the LongT5 LLM from HuggingFace and found 50-70% lower ROUGE scores
• Shared findings with professionals at Intel, Princeton, USNA, CMU, and IIT Kanpur

Skills: Research Skills · Machine Learning · Natural Language Processing (NLP) · Project Planning · Artificial Intelligence (AI)

Chinese Checkers Board Evaluation Analysis

Jul 2023 – Aug 2023

• Introduced four unique Chinese Checkers board evaluation routines for the MiniMax algorithm via Python to test and optimize computerized decision-making process to improve the win rate by 400%
• Implemented Alpha-Beta pruning and an endgame routine database to optimize average gameplay decision-making time by 4,000%
• Published findings in Volume 38 of the Journal of the Pennsylvania Governor’s School of the Sciences and presented research at the 2023 Pennsylvania Governor’s School of the Sciences Symposium at CMU

Skills: Python · Optimization · MiniMax · Collaboration · Research Skills

Winter Wonderland Holiday Light Show

Sep 2022 – Jan 2023

• Expanded previous year's show to include over 5,000 synchronized light bulbs
• Organized inaugural hot chocolate night with 100+ attendees from across the city
• Collaborated with McDowell Manufacturing to create & wire new display props

Skills: Project Management · Leadership · Computer Networking · Manufacturing

Text Planner App

Jul 2022 – Aug 2022

• Programmed message-based planner application that allows users to log tasks to a SQLite database via text messages via Python
• Developed Flask-based frontend to view and modify tasks via a mobile/desktop website

Skills: SQLite · Flask · Python (Programming Language) · Data Science · Web Development · Back-End Web Development

Object Oriented Programming Top Student Award

Dec 2024

Associated with Georgia Institute of Technology

• I was named the top student across all sections of CS1331 (Introduction to Object-Oriented Programming) at Georgia Tech in Fall 2024, out of 676 students.

Magical Midway - 1st Place

Sep 2024

Issued by HackGT 11 | Associated with Georgia Institute of Technology

• Placed first in the Magical Midway track for computer vision, AR, and VR projects.
• Developed patient joint tracking software (SentinelCV) that raises alerts when patients are at risk for ulcer development.