Shalini S K

I’m an AI/ML Engineer focused on building AI systems that reliably turn data and user requirements into measurable product outcomes. I work across machine learning, data science, and large language models (LLMs), with a strong emphasis on evaluation, prompt engineering, and system optimization.

In my current role as an AI Engineer at Mira (Stealth AI Startup), I design an AI-powered scheduling system analyzing 1000+ user inputs to automate decision-making and improve scheduling efficiency by 35%. I build data-driven workflows with validation pipelines to ensure reliability, while iterating with users to improve usability and overall experience.

Previously at GovernHQ, I led AI evaluation workflows across 10+ use cases, improving decision accuracy. I analyzed 5,000+ system outputs to identify gaps and improve reliability by 30%, and I contributed to product-level AI system design while coordinating cross-functional teams and SDK integrations.

My internships strengthened my execution from data to models: at Infosys, I analyzed 50,000+ data points using Python and improved accuracy by 30% through EDA, feature engineering, and evaluation. Earlier at Nija World Pvt. Ltd., I built ML models achieving 85–90% accuracy, and I supported data-driven performance improvements; I also strengthen my craft through projects like an Agent Performance Evaluation Framework (10,000+ outputs) and research recognized with 98.7% conference accuracy and 96.4% multimodal AI results.