I'm an AI Engineer passionate about building production-ready AI applications using Large Language Models, Multi-Agent Systems, Computer Vision, and scalable backend technologies.

• 🤖 Ex-AI Engineer Intern @ Vedic Rishi Astro
• 🚀 Building Multi-Agent AI Applications with CrewAI
• 👁️ Working on Computer Vision using YOLOv8
• ☁️ Deploying AI services using Docker & AWS Lambda
• 📚 Researching AI applications in Sustainability & Education
• 💡 Interested in LLMs, AI Agents, Backend Systems & Applied AI

Python • JavaScript • TypeScript • SQL

CrewAI • OpenAI • YOLOv8 • NLP • Pandas • NumPy • Matplotlib • Plotly • Streamlit

FastAPI • Flask • Node.js • Express.js • REST APIs

PostgreSQL • MySQL • Redis

Docker • AWS Lambda • Git • GitHub • Postman

YOLOv8-based Computer Vision model trained on 7,100+ images for detecting four major palm lines and deployed on AWS Lambda using Docker.

AI-powered accreditation platform that automates NBA Self-Assessment Report evaluation using NLP and Multi-Agent AI.

Research project leveraging NLP techniques to identify misleading sustainability claims in corporate reports.

📄 AI for Detecting Greenwashing in Corporate Sustainability Reports (Accepted)

📄 TrustED: AI-Powered Accreditation System (Research in Progress)

📧 Email: deeptisunilsingh50@gmail.com

💼 LinkedIn: https://linkedin.com/in/deeptisingh18

🌍 Portfolio: https://deeptisingh.vercel.app/

💻 Resume: https://drive.google.com/file/d/1S3VQloofdGAvVWTMbrtXCZLwpsSSIdGe/view

⭐ I enjoy building AI products that solve real-world problems—from intelligent automation to computer vision and multi-agent systems.