Python Backend Developer with Django Expertise

KRISHNA SIDDHARDH POTLURI

+1-682-***-**** *************@*****.*** linkedin.com/in/ks2000

EDUCATION

Arizona State University — Tempe, AZ Aug. 2023 – May 2025 Master of Science in Computer Science

Birla Institute of Technology and Science(BITS Pilani) — Hyderabad, IN Aug 2017 – May 2021 Bachelor of Technology in Electrical and Electronics Engineering EXPERIENCE

Software Developer Nov 2022 - Jun 2023

BeeHyv Software Solutions Hyderabad, IN

• 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 Jul 2021 - Oct 2022

Wipro Limited Bengaluru, IN

• 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 Aug 2019 - Dec 2019

Wheebox New Delhi, IN

• 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. PROJECTS

T cell Receptor (TCR) - Epitope binding affinity prediction Python, Pandas, Tensorflow Nov 2023- Dec 2023

• Leveraged AllenNLP’s pre-trained Bidirectional Language Model to build a catELMo embedder for the creation of TCR/EPI embeddings.

• Created three classification models Feed Forward Neural Network, Attention-based, and LSTM-based for binding affinity prediction using embedding from catELMo and its variants catELMo-shallow and catELMo-deep achieving peak accuracy of 88% for unseen TCR-Epi pairs.

Fake it Till you Tweet it Mistral AI, Python, RAG, Mixed-Regression, Research, Spark, HIPAA Awareness, Linux Dec. 2024

• Created a RAG-powered tweet generation system by fine-tuning Mistral models with varying prompt strengths. Used vector search for context retrieval, then evaluated susceptibility using mixed regression models, exploring ethical / clinical analogs to PHI vulnerabilities. Prototyped SMTP mail routing using Mailgun API and implemented spam detection using Naive Bayes. TECHNICAL SKILLS

Languages: Python, JavaScript, Java, Kotlin, C/C++, JSON, SQL, NoSQL, HTML5, CSS, jQuery Frameworks: Django REST, Node.js, React.js, AngularJS, Spring framework (JDBC, JPA, MVC), Android (Jetpack), Next.js, Redux, GraphQL, Express, Bootstrap, Material UI, Hibernate, Restful API, Open API Developer Tools: Git, Docker, Kubernetes, Jenkins, AWS, WebSocket/STOMP, Postman, JPA/Hibernate

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