I build, teach, and explain practical technology through AI, Robotics, IoT, Python, and real-world project-based learning.
I am an AI & Robotics Specialist, STEM Trainer, and AI/ML enthusiast with hands-on experience in robotics education, IoT systems, student mentoring, AI-based learning projects, and technical training.
Currently, I work on practical learning experiences involving Arduino, ESP32, NodeMCU, Raspberry Pi, sensors, motor drivers, automation logic, AI concepts, Python fundamentals, and project-based STEM education.
My goal is to grow into roles across:
- AI/ML and Python-based application development
- Robotics and IoT systems
- AI Developer Education
- Developer Relations for AI/Data tools
- Technical Content Engineering
- Data Science and applied AI projects
I enjoy converting complex technical concepts into simple, practical, and engaging learning experiences.
AI & Robotics Specialist transitioning into AI Developer Education
and Python-based AI/Data Applications.---
All credentials are independently verified and secured via my Credly Portfolio. As a merit-based Grow with Google Scholar, I completed the following specializations with 90%+ proficiency.
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Working as an AI & Robotics Specialist / STEM Trainer
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Managing AI and robotics instruction across multiple student sections
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Mentored student teams including Robo Pup and Robo Soccer for Codeavour 7.0 Regionals
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Guided robotics and IoT projects such as:
- Human Following Robot
- Line Following Robot
- Obstacle Avoidance Robot
- Hybrid Autonomous & RC Robot
- Smart Home Automation
- Raspberry Pi based Home Automation
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Worked with Arduino Nano, Uno, Mega, NodeMCU ESP8266, ESP32, Raspberry Pi 3, sensors, motor drivers, and automation hardware
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Completed an IBM AI/ML Project-Based Experiential Learning internship
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Completed multiple Google Career Certificates in AI, Data Analytics, Business Intelligence, IT Automation, UX, Cybersecurity, and Project Management
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Practicing technical problem-solving through HackerRank
An AI-powered chatbot that recommends books based on the user's emotional state and reading preference.
Tech Used: IBM Watsonx Assistant, HTML, CSS, JavaScript, GitHub Pages
Key Features:
- Emotion-aware chatbot interaction
- Mood-based recommendation flow
- Personalized book suggestions
- Beginner-friendly AI chatbot interface
- Web deployment using GitHub Pages
π Repository: https://github.com/HarshkumarG007/PBEL-NOVELia-AI-chatbot π Live Demo: https://harshkumarg007.github.io/PBEL-NOVELia-AI-chatbot/
A Python-based AI assistant for robotics educators that can generate lesson summaries, quizzes, project steps, troubleshooting guides, and beginner-friendly explanations.
Planned Tech Stack: Python, Streamlit/FastAPI, LLM API, Document Processing, RAG
A structured portfolio of robotics and IoT projects including line following robot, obstacle avoidance robot, human following robot, smart home automation, and Raspberry Pi based automation.
Planned Tech Stack: Arduino, ESP32, NodeMCU, Raspberry Pi, Sensors, Motor Drivers, C/C++, Python
A data analytics project for cleaning, analyzing, and visualizing student performance data to generate meaningful academic insights.
Planned Tech Stack: Python, SQL, Pandas, Excel/Power BI, Data Visualization
A beginner-friendly computer vision project for robotics use cases such as object detection, line-following logic, or camera-based automation.
Planned Tech Stack: Python, OpenCV, Arduino/Raspberry Pi
A clean notebook series focused on real-world data science practice.
Planned Notebooks:
- Exploratory Data Analysis and Data Cleaning
- Classification or Regression ML Model
- Recommendation System or NLP Notebook
- Model Evaluation and Improvement
- IBM PBEL Artificial Intelligence Virtual Internship
- IBM SkillsBuild AI Learning
- Google AI Essentials
- Google Prompting Essentials
- Google IT Automation with Python
- Google Data Analytics
- Google Advanced Data Analytics
- Google Business Intelligence
- Google Cybersecurity
- Google IT Support
- Google Project Management
- Google UX Design
- Google Digital Marketing & E-commerce
- FutureSkills Prime β LLM for Young Developers
- FutureSkills Prime β Yuva AI for All
- HackerRank: Python, SQL, Java, C, and Problem Solving practice
- Data Science: EDA, data cleaning, model experimentation, and evaluation
- Current focus: Python, SQL, Pandas, ML workflows, dashboards, and applied AI projects
Kaggle ranking will be added here after the public Kaggle profile link verifies the exact rank.
- Python for AI and automation
- Data Analytics and Business Intelligence
- Machine Learning workflows
- LLM-based applications
- RAG architecture basics
- Computer Vision for robotics
- Technical documentation and developer education
I am interested in opportunities related to:
- AI/ML Internship
- Python Developer
- Junior AI Application Developer
- Data Analyst Trainee
- Robotics / IoT Developer
- AI Developer Educator
- Technical Content Engineer
- Developer Relations Associate for AI/Data tools
- STEM / AI / Robotics Program Specialist
- LinkedIn: https://www.linkedin.com/in/harshkumarg/
- HackerRank: https://www.hackerrank.com/profile/HarshkumarG
- GitHub: https://github.com/HarshkumarG007
- Email: hrslsha007@gmail.com
- Kaggle: Coming soon
I believe technology becomes powerful when it is built, explained, demonstrated, and used to solve real-world problems.
My focus is to keep learning, keep building, and keep converting technical knowledge into practical projects that help students, educators, developers, and users understand AI, robotics, and automation better.