Aarshil Patel Email & Phone Number
Who is Aarshil Patel? Overview
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Aarshil Patel is listed as Software Engineer at Amazon Web Services (AWS), a with 142019 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Aarshil Patel.
Aarshil Patel previously worked as Software Engineer at The Smith-Kettlewell Eye Research Institute and Graduate Teaching Associate at San Francisco State University. Aarshil Patel holds Master Of Science - Ms, Computer Science from San Francisco State University.
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About Aarshil Patel
Designed a machine learning model to differentiate real-world and virtual environment-generated sounds as an intern at Smith Kettlewell Eye Research Institute. I help companies develop tools and reduce application processing time.Skills: Web Development, API Development, Java, Node.js, AWS, Microservice Architecture, SQL, Finance Management, Software testing principles, Technical Leadership, Version Control (Git), Problem-solving, Agile Development, JavaScript Frameworks, cross-functional collaboration, CI/CD pipelines.- Established an efficient data pipeline for seamless integration by rigorous testing using fine tuning strategies resulting in 25% decrease in experimental errors and enhanced model precision.- Incorporated Rest API and other web services and leveraging a highly scalable content delivery network resulting in 35% reduction in buffering and load time.I am excited about opportunities where I apply my software developer skills to help new companies for building impactful tools and technologies.I love connecting new with new people, you can reach me at arshil.patel98@gmail.com
Aarshil Patel's current company
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Aarshil Patel work experience
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Software Engineer
CurrentReverberation sound classification model:• Architected a backend solution with cross functional team that utilizes a large language model mimicking human brain to differentiate between real-world and virtual environment-generated sounds leveraging diverse audio dataset.• Built an efficient model with more than 85% accuracy and 75% average precision using fine tuning and normalization techniques to counter overfitting.Sensorimotor dynamics of echoacoustic target acquisition:• Spearheaded a head tracking project for blind echolocators and achieved 92% accuracy with frame extraction using aruco markers and computer vision.• Proposed and executed plan to append binaural sound capturing trials to trap echo reflections which improved head movement analysis over time with 40% improved sound signals.• Designed an efficient data pipeline for seamless video data extraction and generate insights on behavioral analysis.• Identified noise signals from the result of data pipeline and corrected them after testing to improve accuracy with less than 10%interpolated data for final extraction.
Graduate Teaching Associate
• Conduct lecture for Introduction to Computer Programming for a class of 45, focusing on various data types, algorithms, implementation and documentation of JAVA programs.• Host one-on-one mentor sessions after class to focus on programming concepts along with testing and debugging code.• Host 5 hours a week after class optional one-on-one sessions to give personal attention to every student.
Graduate Teaching Assistant
• Grader for Computer Programming Paradigm course focused on object-oriented programming, logic programming and multi-paradigm programming languages.• Mentor students after class on algorithms, programming concepts, numerical and non-numerical problems in C++, Prolog, Scheme and ruby language.
Software Engineer
• Participated with cross-functional team of a video content management system, utilizing Node.js and AWS for efficient storage and adaptive encoding resulting in 20% less retrieval time.• Incorporated Rest API and other web services and leveraging a highly scalable content delivery network resulting in 35% reduction in buffering and load time.• Teamed up with UI/UX designers to enhance the user interface, resulting in a more intuitive and user-friendly experience, contributing to a 15% increase in user engagement.
Machine Learning Intern
• Architected the infrastructure for a tutoring website, integrating pattern recognition algorithm to provide personalized tutor recommendations and predictive analysis, enhancing student-tutor matching and academic outcomes.• Implemented predictive analytics algorithm to assess and forecast student performance, enabling tutors to customize their teaching strategies for better learning outcomes with 11+ departments.• Participated with a cross-functional team to populate tables with 100s of tests and training rows, facilitating easy data addition and retrieval for a smoother user interface experience.
Software Engineer Intern
• Collaborated with a team of 5 to develop a finance management software based on Java microservice architecture and SQL for operational efficiency and scalability.• Integrated API driven one click tax filing file generator with cloud based market expanding capabilities and securing 90% code coverage with Junit testing framework.• Orchestrated the migration from a monolithic to a Java microservices architecture, improving system modularity and scalability, and reducing deployment times by 30%.
Aarshil Patel education
Master Of Science - Ms, Computer Science
Bachelor Of Engineering, Computer Engineering
Frequently asked questions about Aarshil Patel
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What company does Aarshil Patel work for?
Aarshil Patel works for Amazon Web Services (AWS).
What is Aarshil Patel's role at Amazon Web Services (AWS)?
Aarshil Patel is listed as Software Engineer at Amazon Web Services (AWS).
Where is Aarshil Patel based?
Aarshil Patel is based in San Francisco Bay Area, United States while working with Amazon Web Services (AWS).
What companies has Aarshil Patel worked for?
Aarshil Patel has worked for Amazon Web Services (Aws), The Smith-Kettlewell Eye Research Institute, San Francisco State University, Nu Eta Technologies Llp, and Bacancy Technology.
How can I contact Aarshil Patel?
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What schools did Aarshil Patel attend?
Aarshil Patel holds Master Of Science - Ms, Computer Science from San Francisco State University.
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