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Hi there, I'm Swami Buddha Chaitanya 👋

Welcome to my GitHub profile! I'm a Software Engineer at Blue Yonder (Panasonic) with a deep passion for technology, particularly in DevOps, full-stack development, and machine learning. My journey has been shaped by a strong educational background from BITS Pilani and a diverse set of professional experiences that have honed my skills in a variety of cutting-edge technologies.

🚀 Professional Experience

Associate Software Engineer at Blue Yonder (Panasonic)

Bengaluru, Karnataka, India | June 2024 - Present

  • Automation Innovator: Developed automated workflows using GitHub Actions, scaling the integration of new warehouses into existing infrastructures.
  • Azure Expert: Deployed secure resource management processes using Azure, ensuring seamless integration and operations.
  • Efficiency Advocate: Streamlined warehouse processes to reduce manual intervention, supporting business growth.

Software Engineer Intern at Blue Yonder (Panasonic)

Bengaluru, Karnataka, India | January 2024 - June 2024

  • Process Optimizer: Enhanced operational efficiency by automating key workflows, aligning with the company’s growth strategy.

Teaching Assistant at Birla Institute of Technology and Science, Pilani

Pilani, Rajasthan, India | October 2022 - January 2024

  • Data Insights Developer: Created a multimodal search model for CommerceIQ, boosting product search accuracy by 98% using the FAISS framework.

🛠️ Skills

  • Programming Languages: Go, Python, JavaScript, C, C++
  • Frameworks and Technologies: MERN Stack, Next.js, Django, Azure DevOps, Serverless Framework, gRPC
  • Databases: MongoDB, MySQL, PostgreSQL
  • DevOps Tools: Jenkins, Terraform, Ansible, Docker
  • Cloud Platforms: Microsoft Azure, AWS
  • Specializations: Machine Learning, Generative AI, REST APIs

🎓 Certifications

  • Django Application Development with SQL and Databases - IBM
  • Developing AI Applications with Python and Flask - IBM
  • Getting Started with Git and GitHub - IBM
  • Python for Data Science, AI & Development - IBM
  • Snowflake Data Warehousing Workshop - Snowflake
  • Hands-on Introduction to Linux Commands and Shell Scripting - IBM
  • Mathematics for Machine Learning and Data Science Specialization - DeepLearning.AI
  • MongoDB Python Developer Path - MongoDB
  • Generative AI with Large Language Models - DeepLearning.AI

📚 Projects

  • Objective: Developed a comprehensive project combining a Dog Breed Classifier and an Email Spam Filter using machine learning and data analysis.
  • Outcome: Delivered two reliable models with clean, efficient code ensuring robust predictions for both use cases.
  • Objective: Created a testing framework to enhance the robustness of a Management Information System (MIS) with a focus on input validation and test case generation.
  • Outcome: Streamlined the MIS testing process, ensuring data integrity and reducing errors.
  • Objective: Enhanced e-commerce recommendations by accurately identifying similar products using text and image data.
  • Outcome: Developed a robust recommendation system leveraging multimodal data for improved user experience.
  • Objective: Designed a GUI-based model to break ciphertext using differential attacks across various encryption algorithms.
  • Outcome: Provided a versatile tool for testing the security of encryption algorithms, contributing to cryptographic research.
  • Objective: Improved the security and efficiency of the online Multiple Spanning Tree Coverage (MSTC) algorithm for multi-robot systems.
  • Outcome: Validated a more secure and efficient MSTC algorithm, enhancing multi-robot systems' robustness.
  • Objective: Developed a Text GCN to classify medical research proposals, aiming to exceed traditional term frequency methods.
  • Outcome: Achieved a validation accuracy of 71.053%, demonstrating the effectiveness of the Text GCN model.
  • Objective: Conducted a comprehensive analysis of the QUIC protocol compared to TCP, focusing on performance metrics under various network conditions.
  • Outcome: Demonstrated QUIC's superior performance, providing insights into its potential as a next-generation transport protocol.
  • Objective: Developed a scalable chat application leveraging gRPC for seamless communication between multiple clients and a server.
  • Outcome: Delivered a secure, feature-rich chat application with group chat capabilities, showcasing the potential of gRPC.
  • Objective: Built a clone of the PayTM application, focusing on replicating key functionalities like user authentication and transactions.
  • Outcome: Created a fully functional clone with a seamless user experience, demonstrating expertise in full-stack development.
  • Objective: Developed a clone of the Medium blogging platform with a focus on security, scalability, and user experience.
  • Outcome: Delivered a secure, scalable platform that mirrors Medium’s core features, showcasing advanced frontend and backend development skills.
  • Objective: Developed the backend for a course-selling website, enabling secure user authentication and efficient course management.
  • Outcome: Provided a solid backend infrastructure for an e-learning platform, supporting role-based access control and seamless transactions.

📈 GitHub Stats

Chaitanya's GitHub Stats

📬 Get in Touch


Feel free to connect, collaborate on projects, or just drop a message. Let’s build something amazing together!

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