Srinidhi R User

I’m an AI and software engineering intern who builds practical GenAI systems end-to-end, with a strong focus on RAG-based experiences and measurable performance gains. At Sybergate Technologies, I developed ToolCapPro, an AI-powered RAG chatbot that supports dataset uploads, contextual Q&A, and automated quiz generation, built with Flask and HTML/CSS and integrating Groq with JSON and SQL storage.

I also built an Audio Sentiment Analyzer using Flask, OpenAI, Whisper, and Hugging Face, reaching 92% sentiment detection accuracy. Beyond models, I designed scalable APIs and full-stack integrations that accelerated the project deployment cycle by 40%.

My work extends through hackathons and projects, from the Aesthetics Transformer (Gemini, DeepSeek, Imagen, Pollinations with Next.js and Neon DB) to ML and explainability-focused systems like a LightGBM cardiac risk prediction model with SHAP and a FastAPI inference API. I’ve also built a reliability-aware Swin Transformer for land-use classification (99.57% accuracy) with uncertainty estimation, calibration, OOD detection, selective prediction, and Grad-CAM interpretability, plus a crime analytics dashboard using Python/Pandas/Scikit-learn over 10K+ records.