
Harshil Agarwal
Lead Technical Consultant

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About me
Data Science Intern @ Renesas | Incoming SWE Intern @ John Hopkins Applied Physics Laboratory | CS & Data Science + Business Minor @ UMD | Gemstone Honors Program | CS Departmental Honors
Education

Howard High School
2019 - 2022
University of Maryland
2023 - 2027Bachelor of Science - BS Computer Science
Howard Community College
2022 - 2024Enrolled for High School and College Dual Enrollment Courses
Experience

ETERNAL VOICE INC
Dec 2019 - Aug 2021Lead Technical ConsultantDeveloped and managed a live streaming system using Open Broadcaster Software (OBS) for organizational events, resulting in a 65% increase in online viewership on Facebook and YouTube platforms.Developed an inventory management system using forms and Microsoft applications to help handle organizations' equipment Integrated technologies to develop an event sign-up system giving users assigned parking, seating, and auto-generated one-time passwords for gate accessCaptured events through various methods, including aerial photography and gimbals.Produced short films using Final Cut Pro X to showcase major organizational events and announcements.Collaborated with IT specialists to integrate new technologies, enhancing task efficiency and introducing conveniences, such as implementing WiFi and Smart Home systems.Worked alongside audio technicians to install high-quality audio systems, ensuring optimal sound delivery during events.Provided technical support to resolve issues promptly, ensuring smooth operations during events. Show less

The Johns Hopkins University Applied Physics Laboratory
Oct 2022 - May 2023Software Engineer InternWorked on NASA's Double Asteroid Redirection Test Investigation Team and Impact Modeling Working GroupAssisted NASA in the Double Asteroid Redirection Test (DART) investigation, focusing on the impact analysis of Dimorphos.Developed impact models utilizing the CTH Hydrocode from Sandia National Laboratories.Designed and implemented analysis software using Python and shell scripting to investigate impact data, determining statistical significance.Leveraged a supercomputer for efficient management, organization, and analysis of impact data.Conducted image analysis of Dimorphos to ascertain asteroid characteristics, including shape, size, mass, and material properties.Prepare reports and presentations or contribute to technical documentation related to impact modeling efforts.Collaborate with scientists, engineers, and other team members within the Space Exploration Sector. Show less

Code Ninjas
Feb 2023 - nowCourse InstructorUtilize Code Ninjas' curriculum to teach programming languages, concepts, and problem-solving skills.Create a positive and inclusive learning atmosphere for students.Assist students in understanding coding principles and troubleshooting technical challenges.Provide one-on-one guidance and support to ensure individual student progress.Facilitate project-based learning activities to enhance students' practical coding experience.Communicate regularly with parents to update them on their child's progress.Address any concerns or inquiries from parents regarding the curriculum or student performance.Collaborate with other instructors and staff to ensure a cohesive and effective learning environment.Share best practices and contribute to the improvement of the overall Code Ninjas program. Show less

University of Maryland - A. James Clark School of Engineering
Dec 2023 - nowInformation Technology TechnicianResponsible for staffing the Engineering Information Technology Service Desk and responding to phone calls, e-mail tickets, and walk-ins. Report to full-time staff and the Service Desk Manager. Responsibilities include computer imaging, hardware maintenance, update management, software troubleshooting, lab maintenance, classroom technical support, inventory management, and more.

Renesas Electronics
Jun 2024 - nowData Scientist Intern- Assisted the development of the Automotive Safety Warning System (SWS), a project that will allow autonomous cars to leverage microphones and "see with sound" detecting sirens, cars, and pedestrians to augment existing autonomous driving and ADAS systems. - Designed and deployed a software tool with a user interface to streamline the training and testing of machine learning models for the SWS project, providing customization for machine learning processes including data segmentation, channel selection, feature selection, bandpass filtration, and auto-balancing data sets. - Trained Support Vector Machine (SVM)-based lowSpeed and highSpeed siren classifier models using normalized FFT magnitude to distinguish frequency patterns with in-house collected datasets, achieving 93% accuracy for lowSpeed and 98% for highSpeed siren classification. - Assisted in deploying trained models to the RH850 MCU and demonstrated the solution to a customer, Magna International, for their autonomous applications. - Conducted field testing and data collection in Baltimore City, validating model performance with high accuracy in real-world conditions. - Executed pre and post-data processing techniques and leveraging Python to write scripts that used Geopy and Meteostat APIs (for reverse geocoding and grabbing historical weather data), resulting in comprehensive datasets and analysis - Extended the data collection software to use Phidget GPS modules and Audacity, enabling synchronized GPS and audio recording during data runs to improve data accuracy. Show less
Licenses & Certifications
- View certificate

Psychological First Aid
Johns Hopkins UniversityDec 2020 - View certificate

Autodesk Certified User
AutodeskJun 2022
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