Software Engineer

JATHIN VARMA MUTHINENI

503-***-**** ******@***.*** jathinmuthineni

Education

Master’s in Computer Science September 2023 - Present Portland State University Current GPA:3.83/4.0

Bachelors of Engineering Computer Science June 2019 - May 2023 Vellore Institute of Technology GPA:3.6/4.0

Technical Skills

Programming Languages Java, Python, JavaScript, HTML, CSS, R, SQL Databases/Frameworks MySQL, MongoDB, React, Node.js Tools Git, VS Code, PyCharm, Android Studio, Google Colab, R Studio Cloud AWS, Google Cloud(Cloud Storage, Cloud API’s) Experience

Software Engineering Intern - Entro Labs January 2023 - June 2023

● Contributed to the development of a healthcare management application using Python and Django, enhancing the platform's ability to securely handle medical data for over a million users.

● Designed and implemented complex database schemas in SQL, effectively managing patient histories, doctor consultations, prescriptions, and billing information.

● Designed and implemented a scheduling system using advanced data structures to manage and resolve appointment clashes, improving efficiency for both customers and doctors.

● Collaborated with a multidisciplinary team to refine application features, resulting in a 30% increase in user satisfaction. Focused on performance optimization, achieving a 20% reduction in application load times and enhancing overall user experience.

Frontend UI Developer Intern - Vehito February 2022 - August 2022

● Developed responsive web interfaces using HTML, CSS, and JavaScript, boosting user engagement by 25%.

● Utilized React.js to create dynamic components, improving page load times by 15%. Collaborated with backend developers to integrate RESTful APIs, resolving 20+ integration issues to ensure smooth data flow.

● Conducted cross-browser testing and debugging, enhancing compatibility and reducing reported bugs by 45%. Projects

Data Processing System April 2024

● Designed and implemented a scalable system on Google Cloud Platform (GCP) utilizing Google Cloud Pub/Sub for real-time data ingestion from TriMet's Breadcrumb and Stop Events APIs.

● Deployed Python scripts on GCP VMs fetch data daily via cron jobs, ensuring timely updates of over 5 million Breadcrumb records and 585,000 Stop Event entries.

● Implemented data validation, transformation, and enrichment pipelines to enhance data quality and integrate GPS coordinates with stop event details. Improved public transit service analysis with insights into 14,832 unique trips, identifying efficiency improvements and areas for operational enhancement. Web Application for YouTube Video Description Translation January 2024

● Developed a Flask-based web application deployed on Google Cloud Platform, integrating YouTube API for video data retrieval and Google Cloud Translation API for multilingual translation of video descriptions.

● Implemented Docker to optimize application size by 46%, enhancing deployment efficiency and scalability on cloud infrastructure. Implemented a modular approach with frequent commits into Git repository, adhering to best practices for version control and collaboration.

● Configured Google Cloud services, including setting up service accounts and credentials required for deployment. Ensured API keys were securely managed and not exposed in source files, utilizing Google Cloud's Secrets Manager for credential management.

Real-Time Communication Platform Enhancement June 2022

● Demonstrated expertise in Python's threading module to optimize parallelism in real-time chat systems, managing up to 4k+ users with 27% CPU utilization on a 2.4 GHz processor. Implemented socket management to ensure seamless user interactions and robust error-handling mechanisms for reliable server-client communication.

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