MS in Data Science at RIT focusing on LLMs/RAG, Computer Vision, and end-to-end ML systems that ship. Applied AI/ML engineer passionate about building reliable AI systems.
Currently working on RAG platforms over enterprise PDFs, computer-vision analytics pipelines, and practical ML with measurable latency/relevance wins.
Let's connect and explore how data can shape the future.
Loyal assistant to Master Shreyas.
Agricultural AI Platform
ML-powered crop planning & demand forecasting to reduce waste. Built prediction models for crop yield, demand forecasting, and optimal planting schedules with AWS deployment.
ML Pipeline Tool
Time-series ML pipeline for detecting exoplanet transit candidates from light curve data. Features preprocessing, ensemble classifiers, and interactive visualization for review.
AI Document Analysis
AI-powered Resume Analyzer using NLP and machine learning techniques for text classification and analysis. Built web interface for recruiters with advanced text processing capabilities.
Research on token length variations and retrieval accuracy in multimodal models. Evaluating SOTA models (CLIP, OpenCLIP, Long-CLIP, ALIGN, BLIP-2) on diverse datasets to analyze model robustness, depth estimation, and retrieval efficiency for RAG applications.
View Research PaperDevelopment of video tracking and attribution systems with human-in-the-loop evaluation for detecting subtle bias patterns in video content. Focus on ensuring fairness in AI systems through comprehensive computer vision analysis and demographic-aware processing.
View Research PaperI'm always interested in new opportunities and exciting projects. Let's discuss how we can work together to solve complex data challenges.