AI-Driven Mobile Golf Analytics Engineer

VATSAL VAGHELA

Email: ********@*****.*** LinkedIn: www.linkedin.com/in/vatsal-vaghela-5186471b6 Phone: +1-510-***-**** EDUCATION

San Jose State University - Software Engineering M.S. Ongoing University of California, Santa Cruz - Technology and Information Management (MIS) B.S. March 2025 Relevant Coursework: Data Structures and Algorithms, Database Management Systems, Mobile Development, Computer Networks, Probability and Statistics for Engineers, and Computer Systems and C Programming. Certification: MIT Professional Education – Data Science & Analytics (Machine Learning, Statistics, Python) PROFESSIONAL EXPERIENCE

SureStreak Inc. – Co-founder Dec 2024 — July 2025

● Co-built an AI-powered golf performance analysis platform using computer vision and mobile video processing.

● Designed and trained custom YOLOv8 object detection models for real-time golf motion analysis using PyTorch, OpenCV, and NumPy.

● Reduced inference latency from 120 ms to 72 ms per frame, enabling real-time analysis on mobile devices.

● Developed the iOS client using React Native, Swift, and Objective-C bridging, integrating video capture, ML inference, and visualization.

● Built a Firebase-backed analytics pipeline using Firestore and SQL to track player performance and generate long-term metrics.

Altius Inc. – Software Engineer Intern June 2023 – August 2023

● Contributed to a data-centric mobile app for performance analysis by integrating ML-based tracking tools and enhancing the accuracy of motion and trajectory evaluations.

● Increased predictive model accuracy by 20% by developing custom tracking and motion-analysis algorithms built on top of existing Norfair frameworks.

● Extracted, cleaned, and processed performance datasets using Pandas, NumPy, and OpenCV, enabling faster and more reliable metric generation for end users.

PROJECTS

Notes Organizer - OCR & NLP Document Classification System

● Built a Python pipeline for handwritten note digitization and classification using Tesseract OCR and Hugging Face Transformers (BART).

● Implemented semantic text classification to automatically categorize notes by subject with ~75% accuracy.

● Integrated the Google Drive API to automatically route files into structured folders, creating a fully automated note management workflow.

Sanction Economic Impact Simulator

● Built a Python/FastAPI backend and React frontend to predict economic impact of tariffs and sanctions using CEPII BACI trade data and World Bank macro indicators.

● Implemented rule-based impact scoring and trade exposure for multiple sectors (steel, aluminum, semiconductors, solar, batteries, shipping), with results stored in PostgreSQL.

● Integrated an interactive world map (React, TypeScript) for dropdown-driven inputs and country-level impact visualization with hover tooltips.

Pitch Map Data Visualization Project (Python, Jupyter Notebook)

● Analyzed and visualized bowler pitch map data by sorting and cleaning 10,000+ data points from a CSV dataset to ensure data integrity and accuracy.

● Applied K-Means clustering and Exploratory Data Analysis (EDA) to identify optimal delivery lengths and types, producing actionable insights on bowling strategy.

● Designed and published an interactive Tableau dashboard to present pitch map insights, enabling dynamic filtering by bowler, delivery type, and match conditions.

TECHNICAL SKILLS

● Programming Languages & Tools: Python, C, React Native, Swift, Objective-C, HTML, CSS, JavaScript, SQL, Git, Jira

● Databases & platforms: MySQL, MongoDB, Firestore, Oracle, Apache Kafka, Kubernetes, Docker, AWS, Openshift

● AI-ML Models & Framework: Ultralytics (YOLOv8), Hugging Face, Sci-kit learn, PyTorch, Norfair, OpenCV

● Analytics Libraries : Numpy, Pandas, Echarts, Skia, JMP, Stata, PowerBI, Tableau

Contact this candidate