Krishna Siddhardh

Designed and implemented a dynamic web application using Python, Django, and React, enabling real-time data interaction and updates for agricultural task management across large, diverse land areas, exceeding client expectations by implementing real-time calculation features not initially required. Built and deployed a full-stack web application using Django REST Framework for CRUD operations, React for front-end development, PostgreSQL for database management, and Docker for seamless deployment to in-house servers. Optimized back-end performance by rewriting critical calculation functions in C, resulting in a 200% improvement in processing speed compared to original Python implementation.

Software Developer at BeeHyv Software Solutions (2022-11 – 2023-06)

• Designed and implemented a dynamic web application using Python, Django, and React, enabling real-time data interaction and updates for agricultural task management across large, diverse land areas, exceeding client expectations by implementing real-time calculation features not initially required.
• Built and deployed a full-stack web application using Django REST Framework for CRUD operations, React for front-end development, PostgreSQL for database management, and Docker for seamless deployment to in-house servers.
• Optimized back-end performance by rewriting critical calculation functions in C, resulting in a 200% improvement in processing speed compared to original Python implementation.
• Managed development of a Kotlin-based Android application using Jetpack Compose, reducing development time by 50% and introducing modern UI practices to the company.
• Led a team of four developers, ensuring delivery of clean, maintainable, and bug-free code while maintaining regular client communication to align product development with their vision and requirements.
• Contributed to a Spring-based application by developing APIs and functionalities and provided support for Android app development in a separate project.

Project Engineer at Wipro Limited (2021-07 – 2022-10)

• Built a Python-based machine learning algorithm to detect and visualize defects in wooden electrical poles, replacing a square-based method with an innovative radial mathematics approach to actually see where the defects exactly are.
• Achieved 95% accuracy in defect detection by implementing complex radial calculations and leveraging ultrasound data for enhanced defect visualization.
• Optimized algorithm performance by 100% through data preprocessing techniques, enabling real-time processing on mobile platforms (Android/iOS) via cloud integration.
• Contributed to Flutter app development, focusing on data collection and algorithm integration, and built Flask API endpoints to seamlessly deploy the ML model for web and mobile use.
• Constructed a user-friendly React-based website to enhance project accessibility and usability.
• Presented the project solo to the CTO during COVID, securing continued funding amid widespread project cuts.

Software Engineer Intern at Wheebox (2019-08 – 2019-12)

• Designed and developed a web application to analyze exam data, including user responses, question performance, and topic-level insights, enabling creation of a dynamic difficulty system for exams.
• Built the application using MySQL for database management, Java Spring Boot for API development, Hibernate for database connectivity, Tomcat for API deployment, and AngularJS for front-end interface.
• Implemented APIs to provide metrics such as attempt rate, solution accuracy, and time taken for individual questions and users, enhancing data-driven decision-making.
• Developed an AI algorithm to predict copying during exams using deep neural networks with 77% accuracy, laying the foundation for future improvements in cheating detection.

Master of Science in Computer Science – Arizona State University (2023-08 – 2025-05)

Bachelor of Technology in Electrical and Electronics Engineering – Birla Institute of Technology and Science(BITS Pilani) (2017-08 – 2021-05)