#BUILD DIFFERENT

• Architected and developed a leave management module utilizing SwiftUI and the MVVM design pattern, mirroring the functionality of the company's internal employee application.
• Implemented robust local data persistence using Core Data, Swift Data, and UserDefaults.
• Maintained and enhanced legacy UIKit applications by identifying and resolving critical bugs, and implementing new features to improve user experience.
• Executed a seamless migration of a large-scale legacy application from Swift 4 to Swift 6, significantly enhancing code stability, performance, and long-term maintainability.
• Spearheading the end-to-end development of a full-stack application, encompassing a SwiftUI-based iOS frontend and a high-performance FastAPI backend.
• Engineered a scalable and containerized architecture using Docker, with secure JWT-based authentication and a MySQL database.
• Designed and implemented RESTful API endpoints, ensuring optimized data flow and seamless integration between the client and server.

• Optimized API performance and scalability by developing and refining FastAPI endpoints.
• Automated critical data workflows by engineering efficient Python scripts for data extraction and processing.
• Developed a novel AI-powered differential diagnosis tool by applying advanced prompt engineering techniques to large language models.
• Architected and deployed a hybrid Retrieval-Augmented Generation (RAG) system, integrating FAISS for high-speed vector search and Neo4j for complex relationship-based data retrieval.

• Fine-tuned LLaMA-2 and LLaMA-3 models for a mental health chatbot application using Parameter-Efficient Fine-Tuning (PEFT) and QLoRA for optimized performance on consumer hardware.
• Engineered a sophisticated, domain-specific chatbot leveraging the OpenAI API and advanced prompt engineering methodologies to ensure accurate and contextually relevant user interactions.
• Rapidly prototyped and deployed a Minimum Viable Product (MVP) with an interactive and user-friendly interface using Streamlit, facilitating early user feedback and iterative development.

Tech Stack

Core Competencies