Rakesh Chavhan

Develop and optimize large language models (LLMs) and applications, covering both front-end and back-end development. Create prototypes and proof of concepts (PoCs) in areas such as LLM, NLP, DL, ML, object detection/classification, and tracking. Collect and preprocess extensive text corpora for training and fine-tuning language models. Perform data analysis to identify patterns, trends, and insights for model enhancement. Integrate LLM capabilities into applications using services like Azure OpenAI. Collaborate with the research team to design and develop advanced language models. Train and fine-tune LLMs for specific tasks like code generation, utilizing appropriate ML frameworks and tools. Stay updated with the latest NLP, LLM, and ML advancements to identify opportunities for innovative solutions.

Stay updated with the latest advancements in machine learning and data science techniques. Conduct experiments and A/B testing to evaluate model performance and iterate on improvements. Develop and maintain data pipelines and workflows for efficient data processing and analysis.