I'm Tanish Gupta — I build machine-learning models, AI agents, and full-stack systems that see, predict, and protect. Currently looking for my next opportunity to turn ideas into intelligent products.
Four disciplines across machine learning and AI — turning research into products that work in the real world.
Predictive models, anomaly detection, and analytics with scikit-learn and Jupyter.
Neural networks for vision and recognition in TensorFlow and PyTorch.
Autonomous agents built with OpenAI tools, APIs, and LangChain.
ML-driven intrusion and anomaly detection over live network traffic.
A lineup of AI, ML, security, and full-stack builds. Filter, then tap any tile to open it on GitHub.
LLM-powered AI assistant built during the Economic Times Hackathon. It delivers conversational answers and personalized content recommendations.
Monitors network traffic for unauthorized access in real time.
Learns what normal traffic looks like, then flags cyberattacks by detecting patterns that break the norm.
AI-powered driver assistance system for lane detection, vehicle tracking, and real-time road safety monitoring.
A growing collection of machine-learning models — regression, classification, and clustering — with clean, reproducible, well-documented implementations.
Predicts freight costs and flags risky invoices.
Full-stack AI SaaS generating video ads from a prompt.
Interactive AI model that recognizes handwritten digits and visualizes predictions in real time.
AI-powered KYC verification using YOLOv8, OCR, and computer vision for secure document validation.
Everything I use to design, train, and ship intelligent systems.
Open to internships, collaborations, and AI/ML work. I'm quick to reply.