Salika Ansari

Specialized in building AI-powered recommendation systems for clinical trials, leveraging Machine Learning, LLMs, GenAI, and NLP. Experienced in developing secure, scalable ML solutions for scenario analysis, country selection, and strategic decision-making using structured clinical trial data.

Led the development of an AI-powered ad creation platform using GenAI, LLMs, and open-source models to auto-generate text, image, video, and virtual influencer ads, enabling multi-platform deployment (on GPUs) and reducing manual effort by 75%. Built and deployed a real-time LSTM-based time-series forecasting model for Statistical Arbitrage, improving market prediction accuracy by 15% and enhancing trading signal reliability via MT5 paper trading implementation. Conducted advanced statistical research for Translation Studies (TPRDB) using Python and EDA on eye-tracking and keystroke dynamics data, uncovering cognitive process patterns through in-depth data interpretation and hypothesis-driven analysis.

Led and mentored students in Engineering Mathematics and Statistics, fostering a collaborative learning environment for academic growth. Collaborated with faculty to design and implement innovative teaching strategies, contributing to improved educational outcomes.