Shrey Shrivastava
Exploring the intersection of vision, language, and learning.
About Me
AI Engineer and Software Engineer focused on building end-to-end AI systems using machine learning, NLP, and computer vision. Experienced in developing scalable, production-ready solutions from data pipelines to deployment.
Projects
AI Healthcare Intel Engine
Enterprise-grade healthcare engine featuring symptom-to-specialist matching, risk stratification, and drug interaction analysis.
GitHub LinkAgentic Honeypot System
AI-driven honeypot system designed to simulate intelligent interactions to detect and analyze fraud and scam attempts. Uses agent-based workflows and prompt-driven pipelines with a modular architecture and fallback handling for reliable, real-time execution.
GitHub LinkPupil Anomaly Detection
Real-time eye tracking with anomaly detection using MediaPipe and ML.
GitHub LinkLocal Lore Generator
Generates region-specific Indian fables and myths with LLaMA and DALL·E visuals.
GitHub LinkATS Resume Checker
Privacy-focused tool to check resume compatibility with job descriptions using Gemma3.
GitHub LinkClaim Detection on Russia-Ukraine Conflict
Automated fact-checking using BERT + SVM to detect claims in news articles.
GitHub LinkSentiment Analysis on Tweets
Classifies sentiment on 27,000 tweets using NLP preprocessing and LinearSVC.
GitHub LinkFriends Character Similarity
NLP-based similarity classification of TV show characters using vector representations.
GitHub LinkCIFAR-10 Image Classification
CNN for CIFAR-10 using PyTorch, data augmentation, and optimization (76.92% accuracy).
GitHub LinkTube Network Route Finder
Optimizes subway routes using graph algorithms: DFS, BFS, UCS.
GitHub LinkCar Detection System
YOLOv5 model trained to detect vehicles for parking & traffic management.
GitHub LinkAcademic Search Engine for Papers
Custom search engine for arXiv papers with BM25 ranking, semantic re-ranking, and filters.
GitHub LinkResearch
Gas Cylinder Detection System
Predicts and prevents illegal sale of LPG cylinders using AI and forecasting techniques.
GitHub / PublicationExperience
Data Analysis & Machine Learning Internships at Seekace and Innovians Tech (remote).
Worked on customer churn prediction, COVID-19 forecasting, NLP, and computer vision projects.
Education
MSc Artificial Intelligence – Queen Mary University of London, UK (2024)
BTech Computer Science – Symbiosis University of Applied Sciences, India (2022)
Diploma Computer Science – Rajiv Gandhi Proudhyogiki Mahavidhyalaya, Bhopal, India (2019)