Software Engineer Machine Learning

ARSHIL PATEL

San Francisco, CA +1-628-***-**** ******.*******@*****.*** linkedin.com/in/aarshil-patel https://github.com/aarshilpatel SUMMARY

Passionate software engineer looking for a full-time opportunity. Currently working on machine learning & artificial intelligence, interested in building next gen robust & scalable engineering solutions. (open to relocate anywhere in US) SKILLS

Programming Languages: Python, Java, JavaScript, C++ Technologies: Machine learning, AI, NLP, Big Data

Libraries: PyTorch, TensorFlow, Scikit-learn, D3.js Framework: Flask, NodeJS, React.js, Spring

Cloud Technologies: AWS Cloud (EC2, RDS), GCP

Database: MySQL, MongoDB, NoSQL

EXPERIENCE

Software Engineer- Smith Kettlewell Eye Research Institute June 2023 - present Sound classification model:

• Architected a ML model with cross functional team that utilizes a transformer model mimicking human brain to differentiate real and computer-generated sounds leveraging python and deep learning techniques.

• Identified inefficiency and improved the model accuracy with on device algorithm development to more than 92% with an average precision of 85% using TensorFlow and python normalization techniques.

• Designed and implemented auto testing suits and utilized object-oriented programming to increase productivity and improve performance metrics with CUDA for data loading and processing. Head tracking for target acquisition:

• Spearheaded a head tracking project using computer vision techniques like PyTorch in python for blind echolocators and achieved 92% frame extraction accuracy while incorporating CI/CD pipeline.

• Proposed and executed plan to append binaural sound capturing to trap echoes which improved the sound signal analysis by 40%.

• 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.

Software Development Engineer - Nu Eta Technologies January 2020 - January 2021

• 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 with Jira agile methodology for task management to leverage 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. Software Engineering intern - Royal Solusoft LLP October 2018 - April 2019

• 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%.

PROJECTS

Predictive modeling of wildfire: May 2023

• Leveraged machine learning models to predict potential wildfires based on 1.86 million past US wildfire dataset.

• Built a user interactive interface using D3.js to analyze the trained wildfire model on a map with capabilities of feature manipulation.

• Visualized data input from MongoDB with MapReduce and managed predicted output using TensorFlow and PyTorch for clear understanding of how historical data differs from the predicted wildfires data. AI ChatBot: January 2023

• Finetuned a model based on OpenAI’s Davinci model with natural language processing with 1000s of sample questions generated from user study performed on undergraduate students from diverse group.

• Developed a web application using React and JavaScript for university students seeking help with course selection and necessary prerequisites for the classes with 70% reliable responses. Gator Learn: November 2021

• Designed a tutoring website infrastructure for university students to get in touch with tutors from 77+ different academic areas for online coursework help.

• Lead a backend team by working along with 4 members while maintaining database and streamlined connection with AWS, RDS service for setting up a proper multi-tiered system.

• Co-ordinated with cross functional team and populated table with 100’s of testing and training rows for easy addition and retrieval and uninterrupted user interface.

EDUCATION

Master of Science – Computer Science - San Francisco State University, San Francisco, CA May 2023 Bachelor of Technology – Computer Engineering - Gujarat Technological University, India August 2020

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