Machine Learning and Artificial Intelligence enthusiast with a proven track record in developing innovative AI solutions and optimizing system efficiency in industry and research settings. Currently interning in a dynamic ML role where I apply automation and advanced pattern recognition techniques, achieving measurable improvements in workflow efficiency. As a Research Assistant at UC Davis, I led the design and deployment of a cutting-edge TinyML project, achieving high accuracy for ECG signal classification and significantly enhancing device efficiency for wearable technology. With a diverse portfolio of projects and strong technical skills in Python, SQL, Next.js, and AWS, I am passionate about harnessing AI to drive meaningful outcomes and advance solutions in real-world applications. I am eager to contribute my expertise and innovative approach to the fast-evolving tech landscape.
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Software Engineer InternDrevolDavis, Ca, Us -
Machine Learning Research AssistantUniversity Of California, Davis Feb 2024 - PresentDavis, California, Us• Achieved efficient binary classification of ECG signals with 92.8% accuracy by ensemble Random Forest Classifier (TinyML) while significantly enhancing battery life through efficient low-power algorithms.• Employed advanced feature engineering and XGBoost ensemble modeling, achieving a remarkable 93.6% accuracy in predictive analysis through fine-tuning and strategic hyper-parameter optimization with GridSearchCV, enhancing the robustness of anomaly detection.• Implemented SHAP and LIME techniques to refine Multi-layer Perceptron, Deep Neural Network, and Recurrent Neural Network models for time-series data, resulting in a 7% accuracy boost ensuring optimal operation in constrained wearable device environments. -
Software Engineer InternDrevol Oct 2024 - PresentRedmond, Us• Developed and optimized automation solutions using C#, .NET, and SQL for core business processes, achievinga 20% improvement in task efficiency through collaboration with cross-functional, multi-shore teams• Enhanced system reliability by implementing advanced analytical tools for pattern recognition and anomalydetection, contributing to a 30% reduction in operational bottlenecks and providing actionable insights tostreamline workflows• Researched and deployed new automation and ML-driven tools, documenting progress and achieving a 15%improvement in project tracking accuracy on Azure DevOps
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Technical DirectorGoogle Developer Student Club @ Uc Davis Sep 2023 - Sep 2024Davis, Us• Spearheaded AI/ML projects including a music recommender and medical chatbot, while organizing industry expert lectures, resulting in 35% increase in user engagement and 40% growth in professional network. -
Executive Technical LeadGoogle Developer Student Club @ Uc Davis Sep 2022 - Sep 2023Davis, UsLed a team of 5 tech developers to develop and deploy cloud computing projects
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It Support SpecialistUc Davis John Muir Institute Of The Environment Jan 2024 - Jul 2024Davis, California, Us• Managed and streamlined the IT ticketing system for the Institute of Environment at UC Davis, ensuring timely and effective resolution of technical issues faced by faculty and researchers.• Developed an automated script to integrate software-generated diagnostics for error and malware detection into the ticketing system via email, enhancing issue tracking efficiency and reducing response times by 15%. -
Project ManagerCodelab Jan 2024 - Mar 2024• Led the Summarizit project team to develop an innovative web application that analyzes and summarizes extensive video content, resulting in a 40% increase in user productivity and information accessibility.• Engineered scalable web applications with React, NodeJS, Express, and MongoDB optimizing CRUD routes to increase data retrieval speed by 40% and enhance overall system performance by 25% -
Data Science InternArtifintel Private Limited Nov 2021 - Dec 2021Developed a Minor Project related to Boston Housing Pricing Prediction with a regression score of 0.815. Following that our team worked on a Major Project which involved Predicting Breast Cancer. We also created a web app UI for the major project. I learned various Data Science libraries such as Pandas, Numpy, Matplotlib, Scikit-learn, Streamlit, etc.
Vedant Patel Education Details
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University Of California, DavisComputer Science And Engineering -
Mitx CoursesComputer Science
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Delft University Of TechnologyQuantum Computing
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Anand Niketan Shilaj SchoolHigh School/Secondary Diplomas And Certificates
Frequently Asked Questions about Vedant Patel
What company does Vedant Patel work for?
Vedant Patel works for Drevol
What is Vedant Patel's role at the current company?
Vedant Patel's current role is Software Engineer Intern.
What schools did Vedant Patel attend?
Vedant Patel attended University Of California, Davis, Mitx Courses, Delft University Of Technology, Anand Niketan Shilaj School.
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