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, registration, and communication for a campus hackathon, ensuring smooth event flow. Coordinated with mentors and judges for timely evaluations and feedback.

SDE Intern

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

Collaborated with the team to design, build, and test scalable software solutions across frontend and backend. Gained hands-on experience with client projects, agile workflows, and modern development tools.

Projects & Open Source

Legalवाणी

Legalवाणी – A web-based platform (HTML, CSS, JavaScript) that helps advocates generate professional legal documents with form-filling, preview, and export to PDF, DOCX, TXT.(Live Demo)

CryptoPulse

Created a real-time CryptoCurrency Tracker using JavaScript and API Integration of CoinGecko for the retrieval of data. Helps User to track real time prices and changes of top 100 cryptos and check out the upcoming new cryptos.(Live Demo)

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