Hi, I'm Harsh Khetan

Software Developer and AI Enthusiast

About Me

I'm a Computer Science and Engineering student at SRM Institute of Science & Technology, passionate about AI/ML and backend development. I enjoy building real-time, scalable systems and learning new technologies. I thrive in collaborative environments and love contributing to open source projects.

Skills

Python
Java
C++
C#
OpenCV
JavaScript
  • Libraries/Frameworks: Pandas, NumPy, Matplotlib, Django, JDBC
  • Tools/Platforms: Git, VS Code

Education

B. Tech CSE-AI&ML

SRM Institute of Science & Technology, Kattankulathur (Main Campus), Chennai, India 2023-2027

  • Current CGPA: 9.26

High School Diploma

Allenhouse Public School, Kanpur, India 2017-2023

  • 10th Percentage: 94.3%
  • 12th Percentage: 83%

Experience

Volunteer

IEEE GRSS SRM Student Chapter Nov 2024 – Nov 2024, Chennai, India

  • Organized logistics and scheduling for a campus hackathon, ensuring smooth event flow.
  • Handled participant registration and queries, improving team–mentor communication.
  • Coordinated with mentors and judges to ensure timely evaluations and feedback.

SDE Intern

EA Technologies USA Inc. May 2025 – July 2025, Noida, India

  • Collaborated with the development team to design, build, and test scalable software solutions.
  • Contributed to backend and frontend tasks, writing clean, efficient, and maintainable code.
  • Gained hands-on experience with real-time client projects, agile workflows, and modern dev tools.

Projects & Open Source

Zero-Shot Object Detection

Built a real-time object detection system using Python, OpenCV, PyTorch, and OWL-ViT from Hugging Face Transformers. Detects custom objects in live video without retraining, overlays bounding boxes, and logs detection results with confidence scores. (Link)

Automatic Number Plate Recognition (ANPR)

Developed a license plate recognition system using Python, OpenCV, and Tesseract OCR to detect and extract plate numbers from video frames. Integrated a graphical file selection interface and real-time text overlay for improved user interaction. (Link)

Hand Gesture Fruit Ninja

Created a real-time Fruit Ninja simulation using Python, OpenCV, PyAutoGUI, and MediaPipe, enabling gesture-based slicing and clicks via webcam. Uses landmark detection and motion tracking for responsive browser interaction. (Link)

Certificates

Contact

Email harshkhetan20@gmail.com LinkedIn linkedin.com/in/harshkhetan20 GitHub github.com/HarshKhetan20 Instagram instagram.com/harshkhetann