Yogendra Singh
AI/ML Intern at Valentius Kryptix | Building real-time Computer Vision & LLM-powered apps | Python, OpenCV, MediaPipe
I build AI applications that see, listen and speak. At Valentius Kryptix, I created a real-time sign language recognition system using Python, OpenCV and MediaPipe that converts signs to speech with 99% model accuracy, and I’ve worked on LLM API integrations and voice and vision projects. I’m looking for an AI/ML or Computer Vision role where I can keep building practical, real-world products and learn from a strong team.
Artificial Intelligence / Generative AI Intern
Valentius Kryptix · Sep 2026 — Present
Milestone: Multi-Modal AI Content Platform
✓ VerifiedLLM API Integration
✓Prompt Engineering
✓RAG System
✓AI Web App
✓Milestone: RAG-Powered AI App
✓LangChain Agents
✓Fine-Tuning
✓AI Evaluation
✓Milestone: Agentic AI Workflow
✓Multi-Modal AI
✓Voice AI
✓AI Content Pipeline
✓External Article with VK Backlink
✓ PublishedBlog Post on VK Website
✓ PublishedExternal Article with VK Backlink
✓ PublishedBlog Post on VK Website
✓ PublishedExternal Article with VK Backlink
✓ PublishedBlog Post on VK Website
✓ PublishedLinkedIn Post Tagging VK
✓LinkedIn Post Tagging VK
✓LinkedIn Post Tagging VK
✓Sign-Language-Recognition
Self-reportedReal-time sign language recognition and speech conversion using MediaPipe hand landmarks, a Random Forest classifier, and text-to-speech. Recognises 7 signs at 99% accuracy.
View →