Software Engineer
CurrentAs part of a pioneering initiative, I leveraged the power of Large Language Models (LLMs) to revolutionize healthcare code development. By employing advanced prompt engineering techniques, I guided LLMs to generate high-quality, efficient, and secure code for a wide range of healthcare applications.Key Responsibilities: * Model Training and Fine-tuning: Trained and fine-tuned LLM models on a massive dataset of medical code. * Prompt Engineering: Developed and refined effective prompts to guide the LLM. * Code Integration: Integrated generated code into existing healthcare applications. * Quality Assurance: Implemented rigorous testing and validation procedures.Technical Skills: * Machine Learning: Advanced knowledge of ML algorithms. * Natural Language Processing: Expertise in NLP techniques. * Programming Languages: Java, Python * Frameworks and Technologies: Spring Boot, Angular, GenAI Gemini * Prompt Engineering: Skill in crafting effective prompts. * Healthcare Domain Knowledge: Understanding of healthcare industry standards.Achievements: * Significantly reduced development time. * Improved code quality and adherence to industry best practices. * Accelerated development of cutting-edge medical software.By effectively leveraging AI and prompt engineering, I contributed to the advancement of healthcare technology and improved patient outcomes.
