Rajni Saini

Experienced Data Scientist with around 2+ years of expertise in developing and deploying cutting-edge AI solutions, with a strong foundation in machine learning, deep learning, and large language models. Skilled in building end-to-end generative systems using frameworks such as LangChain, Agents and Hugging Face Transformers. Proven track record of creating domain-specific AI applications and optimizing model performance for production at scale.

Deep understanding of NLP, prompt engineering, and the integration of LLMs into real-world products.

Data Scientist at Celebal Technologies (2024-04 – Present)

• Understand business requirements and design, develop, and maintain data preprocessing and augmentation pipelines to support model training and evaluation.
• Design and test prompt templates for various use cases (Q&A, chatbots, document generation, etc.).
• Actively use libraries like LangChain, OpenAI API, or Azure cloud services for generative workflows.
• Write and maintain reusable Python modules for data processing, model training, and API endpoints.
• Evaluate model outputs for bias, fairness, and safety.
• Review and implement Gen AI research papers and methods.
• Document experiment results, model architecture decisions, and findings in internal knowledge bases.
• Participate in daily stand-ups or sprint planning meetings with cross-functional teams (engineering, product, research, client meetings).

Bachelor of Technology in Electronics and Communication – Uttar Pradesh Technical University (UPTU), INDIA (2014-06)