Madan Bandi
+1-605-***-**** • **************@*****.***
linkedin.com/in/madan-bandi-2a684a196
Summary
Junior Software Developer with 1.8 years of experience in Full Stack Development and IoT. Experienced in front-end and back-end technologies, with a strong focus on Java and Python. Effective collaborator and communicator, eager to leverage technical skills in back-end development using Java.
Work Experience
LEGATO HEALTH TECHNOLOGIES Bengaluru, India
Associate Software Engineer Jun 2021 - Dec 2022
• Developed Java-based full-stack applications, focusing on efficient server-side logic and integrating seamlessly with front-end components.
• Implemented RESTful APIs and web services using Java frameworks to enhance application functionality and data exchange capabilities.
• Collaborated closely with UX/UI designers to ensure cohesive integration of front-end and back-end components, optimizing user experience.
• Conducted unit testing and debugging of application modules to maintain high code quality and resolve issues promptly.
• Contributed to agile development processes, participating in sprint planning, daily stand-ups, and retrospective meetings to improve team efficiency and project delivery timelines.
Inkwall Hyderabad, India
Junior Intern Mar 2021 - May 2021
• Executed sensor data collection and device interconnectivity tests, leading to improvement in data accuracy with optimization for loT projects.
• Designed and built functional loT prototypes using prototyping boards and sensors, showcasing a continuous improvement in the speed of proof-of-concept demonstrations.
• Actively participated in team meetings and project discussions, contributing actionable insights that enhanced project efficiency.
• Authored comprehensive project documentation and detailed reports, facilitating seamless future project planning and implementation.
• Enhanced device testing protocols using integration testing, increasing overall project reliability. Academic Projects
Implementation of Grover's and Shor's Algorithm for Deciphering Encrypted Information
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• Showcases the use of quantum algorithms for decrypting encrypted data
• Utilizes Grover's algorithm to search for passwords within a list
• Employs Shor's algorithm to find decryption keys through prime factorization
• Conducts simulations to compare the performance of quantum algorithms against traditional brute force methods Brain Tumor Classification Using Different Reinforcement Learning Approaches: Q Learning and Deep Q-Network (DQN)
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• Investigates the application of reinforcement learning techniques for classifying brain tumors in MRI images
• Compares Q Learning and Deep Q-Network (DQN)
• Finds that DQN outperforms Q-Learning in classification tasks, but its performance is still suboptimal Predicting Used Car Prices with Machine Learning Using Linear Regression
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• Develops a machine learning model to predict used car prices using data from Quikr.
• Performs comprehensive data analysis to identify key factors influencing car prices, ensuring the model accounts for important variables and trends in the used car market.
• Applies advanced feature engineering and Linear Regression
• Provides accurate estimates for making informed pricing decisions in the dynamic used car market. Education
University of South Dakota Vermillion, SD
Master of Science (M.S.) - Computer Science Jan 2023 - May 2024 Madanapalle Institute of Technology And Science Madanapalle, India Bachelor of Technology (B.Tech.) - Computer Science and Engineering
Aug 2017 - Jun 2021
Skills
• Programming Languages: C, Java, Python, C++, C#
• Development Tools: Git, Control-M, SQL, PowerBI, Docker
• Technologies: AutoCAD, Pandas, Jira, NumPy, Figma, RESTful APIs
• Back-End Technologies: Spring Boot, Hibernate.
• Software: Microsoft Office, Excel, PowerPoint
• Project Methodologies: Agile, Waterfall
• Other Skills: API integration, Time and Task Management, Database Management
• Customer Service Skills: Friendly demeanor, Problem-solving, Effective communication, Team collaboration, Flexibility and adaptability