Training and fine-tuning LLMs to meet specific business needs using frameworks like LangChain, LlamaIndex, and other NLP tools.

Optimizing model performance through techniques like Few-shot Learning, Zero-shot Learning, and Transfer Learning.

Designing and implementing APIs to integrate LLMs into applications, ensuring seamless interaction with other systems.

Deploying LLM-powered solutions such as chatbots, question-answering systems, and content generators for production use.

Building interactive and user-friendly applications leveraging LLMs (e.g., document question-answering tools or conversational AI systems).

Creating modular solutions that can handle a variety of inputs, such as unstructured text, documents, and multi-modal data.

Evaluating LLMs for accuracy, relevance, and fairness in outputs using appropriate metrics and benchmarks.

Implementing strategies to mitigate biases and enhance reliability of generated content.

Working closely with cross-functional teams to align AI solutions with business goals and client requirements.

Staying up to date on the latest advancements in LLMs, experimenting with new architectures and techniques to drive innovation.

Ensuring compliance with ethical AI practices, focusing on privacy, data security, and responsible use of LLMs.

Developing safeguards to prevent misuse, such as generating harmful content or exposing sensitive information.

Assisted in developing and training Machine Learning models using various algorithms and techniques.

Performed data cleaning, preprocessing, and transformation to prepare data for model training.

Evaluated models using appropriate metrics and validation techniques to ensure performance and reliability.

Assisted in deploying ML models into production environments, ensuring seamless integration with existing systems.

Stayed up to date with ML advancements and applied new techniques to improve model performance.

Worked closely with data scientists, software engineers, and other stakeholders to understand requirements and deliver solutions.

Maintained comprehensive documentation of models, experiments, and processes to ensure knowledge sharing and reproducibility.