Shruti Vinod Nair

Fine-tuned and benchmarked LLMs (Apple, ByteDance, Alibaba Qwen, Tencent Hunyuan, Falcon) to improve accuracy and reasoning quality. Built and validated datasets by designing prompts, running inference, and reviewing model outputs, ensuring reliable NLP and LLM evaluation. Promoted to Reviewer to QA and evaluate AI labeling work from contributors, improving data quality across ML pipelines. Designed agentic RAG pipelines (LangChain + FAISS) for knowledge retrieval and reasoning, integrating LLMs into production-ready workflows.

Translated airline business requirements into structured datasets and prototypes for SaaS tools. Collaborated with backend teams on data modeling and validation for pricing/revenue optimization products. Created and tested dashboards BI tools (Power BI, Figma) to visualize KPIs and deliver insights. Applied analytical and problem-solving skills to refine business workflows into deployable product features. Collaborated with engineering teams to integrate AI-driven features into client-facing products, ensuring smooth deployment.

Assisted in building and deploying ML workflows across AWS SageMaker Pipelines. Automated model training and evaluation pipelines using Docker and Git for reproducibility. Gained hands-on experience with supervised learning, model monitoring, and deployment frameworks. Contributed to internal documentation of ML processes, debugging, and optimization strategies.

Supported ERP system digitization by cleaning and transforming operational datasets. Documented data workflows and improved accessibility for aerospace manufacturing teams.