Sean Hershkowitz
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Sean Hershkowitz Email & Phone Number

ML Engineer @ UF Health at UF Health
Location: Gainesville, Florida, United States 4 work roles 1 school
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Current company
Role
ML Engineer @ UF Health
Location
Gainesville, Florida, United States
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Sean Hershkowitz is listed as ML Engineer @ UF Health at UF Health, a with 3224 employees, based in Gainesville, Florida, United States. AeroLeads shows a matched LinkedIn profile for Sean Hershkowitz.

Sean Hershkowitz previously worked as Machine Learning Engineer at Uf Health and Undergraduate Research Assistant-Electrical/Software Engineer at Mcknight Brain Institute Of The University Of Florida. Sean Hershkowitz holds Bachelor'S Degree, Computer Software Engineering from University Of Florida.

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UF Health

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About Sean Hershkowitz

I am a University of Florida student pursuing a degree in Computer Engineering with a keen interest in Bio-Medical applications. I'm enthusiastic about learning, with skills in SQL, JavaScript (Node.js and Express.js), Python, and ASP.NET. Additionally, I'm proficient in 3D modeling (Solidworks, MasterCam, AutoCAD) and hold certifications in these tools. I was part of a research group working on an autonomous submarine project called Subjugator. Currently, I'm engaged in two side projects: one involves creating a program to detect speech patterns based on emotions using data frames, and the other aims to compile a comprehensive list of common types of cancers using API data. Despite my ongoing learning journey, I am always committed to giving my best in every endeavor.

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UF Health
Uf Health
ML Engineer @ UF Health
gainesville, florida, united states
Website
Employees
3224
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4 roles

Sean Hershkowitz work experience

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Machine Learning Engineer

Current

Gainesville, Florida, United States

As a Machine Learning Engineer at UF Health, I am currently working on modernizing and expanding the functionality of an existing software package to improve efficiency. My focus is on the development and deployment of AI models to analyze large datasets and automate key processes. Additionally, I am designing a Support Vector Machine (SVM) model to quantify and classify complex data points, providing valuable insights for healthcare applications. By utilizing advanced machine learning… Show more As a Machine Learning Engineer at UF Health, I am currently working on modernizing and expanding the functionality of an existing software package to improve efficiency. My focus is on the development and deployment of AI models to analyze large datasets and automate key processes. Additionally, I am designing a Support Vector Machine (SVM) model to quantify and classify complex data points, providing valuable insights for healthcare applications. By utilizing advanced machine learning algorithms, I aim to enhance data-driven decision-making within the healthcare system. Show less

Sep 2024 - Present

Undergraduate Research Assistant-Electrical/Software Engineer

Gainesville, Florida, United States

Title: WMBAT Maze - Automated Maze System & Photometry Data AnalysisOverview:I developed the WMBAT Maze, an advanced automated system integrating embedded systems concepts, IR break beam sensors, mini air pumps, and a peristaltic pump. Managed through custom PCBs designed in Altium and CAD-modeled nose pokes, the maze operates dynamically using Finite State Machines and a counter system, alternating paths based on real-time interactions.As the data analyst for a… Show more Title: WMBAT Maze - Automated Maze System & Photometry Data AnalysisOverview:I developed the WMBAT Maze, an advanced automated system integrating embedded systems concepts, IR break beam sensors, mini air pumps, and a peristaltic pump. Managed through custom PCBs designed in Altium and CAD-modeled nose pokes, the maze operates dynamically using Finite State Machines and a counter system, alternating paths based on real-time interactions.As the data analyst for a photometry project, I investigated glucose molecule responses in a brain specimen under ultraviolet light. Utilizing Trodes, a neuroscience software, I scripted and filtered data from probes to derive insights into glucose behavior under specific conditions.Key Components:Embedded Systems & Automation: Coordinated real-time sensor inputs and control outputs, enabling automated maze path alternation.Custom Design & PCBs: Designed and implemented custom PCBs and nose pokes, optimizing the maze's functionality and interaction points.UV Light & Data Analysis: Led data analysis efforts with Trodes, focusing on the response of glucose molecules to UV light exposure.Highlights:Custom Scripting in Trodes: Developed efficient scripts for filtering and processing photometry data, ensuring accurate analysis.Altium PCB Design: Engineered custom PCBs to manage the maze's complex circuitry, enhancing system integration.Scientific Insights: Contributed to neuroscience by analyzing glucose behavior under UV light, providing valuable research data.These projects demonstrate my expertise in embedded systems, automation, and data analysis, resulting in innovative solutions in both engineering and neuroscience. Show less

Sep 2023 - Aug 2024

Software Engineer Intern

Miami, Florida, United States

Title: Software Engineering Internship - Automation & AI IntegrationOverview:During my software engineering internship, I contributed to several key projects that significantly improved operational efficiency and enhanced user experience. My work focused on automating processes, integrating AI solutions, and implementing advanced technologies to streamline company operations.Key Projects:RFID Data Pipeline Automation: Automated the data pipeline between RFID… Show more Title: Software Engineering Internship - Automation & AI IntegrationOverview:During my software engineering internship, I contributed to several key projects that significantly improved operational efficiency and enhanced user experience. My work focused on automating processes, integrating AI solutions, and implementing advanced technologies to streamline company operations.Key Projects:RFID Data Pipeline Automation: Automated the data pipeline between RFID decryption systems, which resulted in a 20% increase in production efficiency. By streamlining data processing, I enabled faster and more accurate handling of inventory and asset tracking data.Facial Recognition for Employee Check-In: Developed a facial recognition system that linked employee ID numbers with their photo IDs to automate employee check-ins through front and back door cameras. This system provided a seamless and secure method for tracking employee attendance, reducing manual errors, and improving overall operational efficiency.AI Voicebot for Wholesale Inquiries: Created an AI voicebot using Dialogflow CX and webhooks to handle common wholesale questions. Once deployed, this solution reduced call center traffic by approximately 35%, allowing customer service representatives to focus on more complex inquiries. The voicebot was integrated with the company’s order tracking system, providing customers with instant, accurate responses.Highlights:Automation Impact: The RFID data pipeline automation led to a 20% boost in production, demonstrating the value of streamlined data processing.Facial Recognition Integration: Successfully implemented a facial recognition system that enhanced security and efficiency in employee attendance tracking.AI Voicebot Deployment: Deployed an AI-driven voicebot that significantly decreased call center traffic, improving customer service efficiency and response times. Show less

May 2023 - May 2024

Programming Tutor

Coral Springs, Florida, United States

As a Programming Tutor at Code Ninjas, I taught children and teens the fundamentals of coding, helping them develop skills in various programming languages, including JavaScript and its libraries. My work also involved guiding students through more complex topics like Unity game design, enabling them to create their own interactive projects. Through a combination of structured curriculum and hands-on learning, I empowered students to think critically, solve problems, and build confidence in… Show more As a Programming Tutor at Code Ninjas, I taught children and teens the fundamentals of coding, helping them develop skills in various programming languages, including JavaScript and its libraries. My work also involved guiding students through more complex topics like Unity game design, enabling them to create their own interactive projects. Through a combination of structured curriculum and hands-on learning, I empowered students to think critically, solve problems, and build confidence in their programming abilities Show less

Mar 2019 - Jun 2020
Team & coworkers

Colleagues at UF Health

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1 education record

Sean Hershkowitz education

FAQ

Frequently asked questions about Sean Hershkowitz

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What company does Sean Hershkowitz work for?

Sean Hershkowitz works for UF Health.

What is Sean Hershkowitz's role at UF Health?

Sean Hershkowitz is listed as ML Engineer @ UF Health at UF Health.

Where is Sean Hershkowitz based?

Sean Hershkowitz is based in Gainesville, Florida, United States while working with UF Health.

What companies has Sean Hershkowitz worked for?

Sean Hershkowitz has worked for Uf Health, Mcknight Brain Institute Of The University Of Florida, Perry Ellis International, and Codeninja.

Who are Sean Hershkowitz's colleagues at UF Health?

Sean Hershkowitz's colleagues at UF Health include Rachel Tilton, Vanessa Toussaint, Dominic B., Kevin Hofer, and Rachel Rollo Decker.

How can I contact Sean Hershkowitz?

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What schools did Sean Hershkowitz attend?

Sean Hershkowitz holds Bachelor'S Degree, Computer Software Engineering from University Of Florida.

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