Hi, I’m Shevan Patel, a Computer Science master’s student at California State University, Long Beach, with hands-on experience building scalable backend and frontend applications and researching ML systems. I’ve crafted systems like a gait-analysis pipeline using smart-insole data, designed custom uncertainty losses, and built dashboards to visualize model confidence and error patterns. I’m excited by turning data into impactful software solutions and continuously learning new technologies. Previously, I led full-stack development at Skillcode Hub, integrating AWS services, optimizing renewal and notification flows, and implementing robust security practices. I’m eager to contribute to innovative teams in ML, backend, or full-stack roles and am open to relocation.

Shevang Patel

Hi, I’m Shevan Patel, a Computer Science master’s student at California State University, Long Beach, with hands-on experience building scalable backend and frontend applications and researching ML systems. I’ve crafted systems like a gait-analysis pipeline using smart-insole data, designed custom uncertainty losses, and built dashboards to visualize model confidence and error patterns. I’m excited by turning data into impactful software solutions and continuously learning new technologies. Previously, I led full-stack development at Skillcode Hub, integrating AWS services, optimizing renewal and notification flows, and implementing robust security practices. I’m eager to contribute to innovative teams in ML, backend, or full-stack roles and am open to relocation.

Available to hire

Hi, I’m Shevan Patel, a Computer Science master’s student at California State University, Long Beach, with hands-on experience building scalable backend and frontend applications and researching ML systems. I’ve crafted systems like a gait-analysis pipeline using smart-insole data, designed custom uncertainty losses, and built dashboards to visualize model confidence and error patterns. I’m excited by turning data into impactful software solutions and continuously learning new technologies.

Previously, I led full-stack development at Skillcode Hub, integrating AWS services, optimizing renewal and notification flows, and implementing robust security practices. I’m eager to contribute to innovative teams in ML, backend, or full-stack roles and am open to relocation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Research Assistant at California State University—Long Beach
January 1, 2025 - November 3, 2025
Built a gait-analysis system that reads smart-insole data (pressure sensors, accelerometer, gyroscope), segments each walk into fixed-length cycles, and prepares uniform tensors for stride-length prediction. Designed a custom uncertainty loss by combining Gaussian negative log-likelihood with Kullback–Leibler divergence, then ran a thorough hyperparameter search to discover the best balance which has lowest error between predicted and actual stride lengths. Evaluated the model with 10-fold cross-validation on 37 subjects, cutting average error by 12% and variability by 30%, and created intuitive Python dashboards to explore error patterns and confidence estimates.
Software Engineer at Skillcode Hub
July 1, 2023 - July 1, 2023
Led development across the Node.js backend and React and TypeScript frontend, improving the fitness web platform’s modules for onboarding, plan selection, trainer assignment, and posture feedback. Integrated the system with AWS services such as EC2, S3, and RDS, optimizing deployments, asset storage, and data management to achieve high reliability and scalability during user traffic spikes. Implemented and optimized membership renewal, payment, and notification flows with webhook retries and asynchronous updates, reducing payment errors by 30% and improving user retention. Strengthened system security and stability by implementing token-based authentication, API rate-limiting, and fine-grained access controls, minimizing unauthorized requests and improving reliability under stress.
Software Engineer Intern at Skillcode Hub
June 1, 2022 - June 1, 2022
Built foundational modules for user registration, login, trainer matching, and session booking using Node.js for backend APIs and React and TypeScript for responsive frontend interfaces. Deployed prototype builds on AWS (S3 and CloudFront) and learned the fundamentals of CI/CD, environment management, and containerized application delivery. Contributed to initial versions of RBAC (Role-Based Access Control), logging, and validation frameworks, establishing coding standards and reliability practices for later production scaling. Worked closely with frontend and QA teams to define REST API contracts, align request/response structures, and implement integration testing.
Research Assistant at California State University - Long Beach, CA
January 1, 2025 - November 3, 2025
Built a gait-analysis system that reads smart-insole data (pressure sensors, accelerometer, gyroscope), segments each walk into fixed-length cycles, and produces uniform tensors for stride-length prediction. Designed a custom uncertainty loss combining Gaussian negative log-likelihood with Kullback–Leibler divergence, then ran a thorough hyperparameter search to discover the best balance which has lowest error between predicted and actual stride lengths. Evaluated the model with 10-fold cross-validation on 37 subjects, cutting average error by 12% and variability by 30%, and created intuitive Python dashboards to explore error patterns and confidence estimates.
Software Engineer at Skillcode Hub - Vadodara, India
July 1, 2023 - July 1, 2023
Led development across the Node.js backend and React and TypeScript frontend, improving the fitness web platform’s modules for onboarding, plan selection, trainer assignment, and posture feedback. Integrated AWS services such as EC2, S3, and RDS, optimizing deployments, asset storage, and data management to achieve high reliability and scalability during user traffic spikes. Implemented and optimized membership renewal, payment, and notification flows with webhook retries and asynchronous updates, reducing payment errors by 30% and improving user retention. Strengthened system security and stability by implementing token-based authentication, API rate-limiting, and fine-grained access controls, minimizing unauthorized requests and improving reliability under stress.
Software Engineer Intern at Skillcode Hub - Vadodara, India
June 1, 2022 - June 1, 2022
Built foundational modules for user registration, login, trainer matching, and session booking using Node.js for backend APIs and React and TypeScript for responsive frontend interfaces. Deployed prototype builds on AWS (S3 and CloudFront) and learned the fundamentals of CI/CD, environment management, and containerized application delivery. Contributed to initial versions of RBAC (Role-Based Access Control), logging, and validation frameworks, establishing coding standards and reliability practices for later production scaling. Worked closely with frontend and QA teams to define REST API contracts, align request/response structures, and implement integration testing.

Education

Master of Science in Computer Science at California State University – Long Beach
August 1, 2023 - May 1, 2025
Bachelor of Engineering in Information Technology at Gujarat Technological University
August 1, 2018 - July 1, 2022
Master of Science in Computer Science at California State University - Long Beach
August 1, 2023 - May 1, 2025
Bachelor of Engineering in Information Technology at Gujarat Technological University
August 1, 2018 - July 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Education, Healthcare, Manufacturing, Media & Entertainment, Professional Services