Software Engineer Machine Learning

Dinesh Sathunuri

New York City, NY +1-929-***-**** ******@***.*** www.linkedin.com/in/dinesh-sathunuri SUMMARY

Jr. Software Developer with hands-on expertise in Java, Spring Boot, and Docker, proficient in building scalable, maintainable applications. Experienced in developing RESTful APIs and microservices architecture using Agile methodologies. Demonstrated ability to collaborate with cross-functional teams to deliver high-quality solutions while streamlining development processes. EDUCATION

New York University Sep 2023 - May 2025

Master of Science, Computer Engineering

• GPA: 3.4/4.0

EXPERIENCE

Valuelabs Jul 2022 - Aug 2023

Software Engineer Hyderabad, India

• Engineered and maintained a Beneficiary Fund Administration platform using React.JS, Spring Boot, and PostgreSQL, enhancing user interface responsiveness and database efficiency.

• Implemented RESTful APIs with Spring Boot to enable real-time data exchange between frontend and backend systems.

• Optimized deployment processes by leveraging Docker, ensuring consistency across development and production environments. Optival Health Solutions Apr 2021 - Sep 2021

Software Engineer Intern Hyderabad, India

• Developed and maintained a full-stack web application using the MERN stack (MongoDB, Express.js, React.JS, Node.js) to manage product catalog and user interactions.

• Integrated Google Maps API to streamline delivery operations, enabling real-time tracking and optimized route planning for deliveries.

• Enhanced team collaboration by adopting Agile methodologies and employing Git for version control, reducing development cycle times by 25%.

Dhyanahitha Organization May 2020 - Jul 2020

Machine Learning and Artificial Intelligence Intern Hyderabad, India

• Devised AI-driven models for predictive analytics, significantly enhancing real-time decision-making capabilities.

• Trained machine learning algorithms using Python and TensorFlow for classification and pattern recognition tasks.

• Boosted image recognition accuracy to 85% through the implementation of convolutional neural networks (CNNs).

• Optimized data preprocessing, feature extraction, and model evaluation methods to enhance overall ML model performance. PROJECTS

Deep Learning Project: Optimizing ResNet for CIFAR-10

• Architected a modified ResNet design, achieving a test accuracy of 87% within a 5 million parameter limit.

• Executed hyperparameter tuning and data augmentation techniques to elevate model performance. Big Data Project: Movie Recommendation System

• Constructed a movie recommendation system leveraging the MovieLens dataset, attaining a Mean Average Precision of 0.9378.

• Utilized MinHash for user similarity analysis and implemented Spark's ALS algorithm for collaborative filtering.

• Refined data preprocessing, hyperparameter tuning, and validation techniques to boost recommendation accuracy. Full Stack Project: Cruise Management System

• Designed and implemented a full-stack web application for cruise management, using ReactJS for the frontend and Spring Boot for the backend.

• Configured and managed a relational database schema with MySQL, establishing relationships and ensuring seamless integration with Oracle Data Modeler.

• Enhanced user experience by integrating real-time booking and cruise activity management features. TECHNICAL SKILLS

• Programming Languages: Java, Python, C, C++

• Web Technologies and Databases: HTML, CSS, JavaScript, React.JS, Express.js, Node.js, SQL, MongoDB, RESTful APIs, JavaScript frameworks, Relational databases, JSON, XML, SOAP

• Frameworks and Libraries: HTTP, Bootstrap, Core Spring Framework, Spring MVC, Spring Boot, MERN stack

• Tools and Technologies: Software Development Lifecycle (SDLC), Machine Learning (ML), Deep Learning (DL), Docker, Scrum, Agile, Operating Systems, TLS/SSL, Hardware Security Modules (HSM), Git, Object-oriented programming, Data Structures, Microservices architecture, Kubernetes, CI/CD pipelines, Linux

Contact this candidate