I'm a Software Engineer with experience across backend and full-stack development, with an eye for integrating Machine Learning and robust Cloud Infrastructure to build solutions that drive efficiency, scalability, and stability. From optimizing robotic performance at Amazon Robotics to pioneering data operations at Accenture, I've embraced the challenge of driving efficiency in every line of code.

As a grad student at Northeastern University, I've been learning and experimenting with a bunch of fun technologies, check out some of my recent Projects exploring Practical applications of GenAI using the transformative power of LLMs.

• CNN Architectural Variations: Performance Study - I investigate how various architectural modifications within a Convolutional Neural Network (CNN) impact its ability to classify CIFAR-10 images. Specifically, I explore the effects of Batch Normalization, Dropout, the number of convolution and pooling layers, and different activation functions on the model's performance.
• Generative AI Chatbot - Developed a sophisticated chatbot leveraging OpenAI’s GPT-4 for natural dialogue, integrated with a custom database and RAG system to provide intuitive context-aware responses through a Streamlit web interface
• Medical-Image-Generation - Leveraging ML models to build a system that generates images of skin rashes based on textual commands using stable-diffusion and dreambooth.

• Languages & Tools: Java, JavaScript(ES6+), Python3, HTML5, CSS3, C, C++, Git, IntelliJ, Postman, Kubernetes
• Databases & OS: MySQL, PostgreSQL, NoSQL, MongoDB, DynamoDB, ChromaDB, Windows, MacOS, Linux
• Cloud Technologies: Lambda, GitHub Actions, Jenkins, Docker, CloudFormation, CodeDeploy, IAM, EC2, S3, Route53
• Web Frameworks: React.js, Node.js, React Native, Gatsby, jQuery, Spring, Websockets, OAuth2, Streamlit
• ML & DS: TensorFlow, PyTorch, Scikit-Learn, OpenAI API, PySpark, Pandas, NumPy, Keras, Hugging Face, Matplotlib

• Design Patterns Playground: Full-Stack Inventory Management Tool: Devised a robust and flexible CRUD application tailored for streamlined inventory management in a retail store. Used various design patterns and SOLID design principles to demonstrate their advantages and usage
• DevOps & CI/CD Integration for cloud-native application: Developed a fault-tolerant CRUD application for user data management, automated CI/CD with GitHub Actions and CodeDeploy, enhanced load handling with auto-scaling EC2 and orchestrated resources via CloudFormation

• LinkedIn: Pramithi Jagdish
• Email: [email protected]

Thank you for taking the time to learn a little about me. I’m currently seeking full-time roles within the Software Development, AI/ML, Cloud Infrastructure & Data domains. If you are seeking a driven, result-oriented Software Engineer who values continuous learning and improvement, I'd love to hear from you. Let's connect to explore opportunities and expand our networks!