Dipesh Dahiya

About Dipesh Dahiya

Computer Science & Artificial Intelligence undergraduate at Chitkara University (expected graduation: October 2026) with a strong focus on Machine Learning and Computer Vision.🤖 Currently working as a Contract AI Trainer (Computer Vision – Homography Specialist) at Invisible, contributing to AI model training and data operations for production-scale systems.🧠 Experienced in visual data annotation, validation, and quality assurance, with emphasis on spatial transformations, homography, and dataset consistency for computer vision models. Built multiple real-world AI projects, including an AI-Powered CCTV Anomaly Detection System and an AI Personal Trainer for real-time pose detection and fitness analysis. Hands-on experience with Python, TensorFlow, OpenCV, Flask, and end-to-end AI system development—from data processing to model deployment. Former Content Writer & Data Analyst at Student Branch, combining technical communication with data analysis to support community-driven and technical initiatives. Actively engaged in continuous learning, open-source contributions, and cloud-based skill development through programs like Google Cloud Arcade. Seeking fresher / entry-level roles in Machine Learning, Computer Vision, and AI-driven software development, where I can apply my skills, learn from industry professionals, and contribute to impactful products.

Experience

1. Python Instructor Computer Science & Ai Fundamentals

   EdifyChamps

   Feb 2026 — Present · Gurugram, IN

   Delivered Python programming instruction to international students across different time zones in a fully remote environment- Taught core concepts including Python fundamentals, control flow, functions, data structures, and problem-solving, aligned with global learning standards- Conducted live interactive sessions and demos for a diverse, multicultural student base using real-world coding examples- Mentored students from varied academic backgrounds through hands-on coding exercises, debugging, and mini-projects- Adapted teaching methods to suit different learning styles, age groups, and proficiency levels- Ensured consistent syllabus completion, session documentation, and performance tracking- Fostered student interest in Computer Science, AI, and programming careers through application-oriented learning.

Education

• Duhan Public School

  10th

• Chitkara University

  Bachelor's degree in Computer Science and Artificial Intelligence, Artificial intelligence

• R.E.D Sr. Sec. School

  12th, Non-Medical( Physics | Chemistry | Mathematics )