B.Tech Computer Science student at PCTE (2023–2027) with hands-on experience in deep learning, computer vision, NLP, and scalable full-stack web applications.
Location
Ludhiana, Punjab, India
Currently pursuing a B.Tech in Computer Science at PCTE Institute of Engineering & Technology (2023–2027). My technical toolkit spans deep learning frameworks like TensorFlow and Keras, computer vision pipelines using OpenCV, generative AI tools via Google Cloud (Gemini API, Vertex AI), and full-stack web development using React, Node.js, Express, and MongoDB.
PCTE Institute of Engineering & Technology
B.Tech in Computer Science (2023–2027)
Published Researcher
VLSI & Microelectronics, The Journals House (2024)
TensorFlow, Keras, CNN, Transfer Learning, Data Augmentation, OpenCV, Haar Cascade, DNN, NLP.
Gemini API, Imagen, Vertex AI, Prompt Engineering, LLM Integration, Google Cloud.
JavaScript, Python, React.js, Node.js, Express.js, MongoDB, REST APIs, HTML5, CSS3.
Git, GitHub, VS Code, Jupyter Notebook, Vercel, Netlify, Docker (Basic), OOP, Data Structures & Algorithms.
CodTech IT Solutions | Remote
React.js, Node.js, Express.js, MongoDB, REST APIs, Gemini API
Built a full-stack healthcare platform featuring user authentication, doctor consultation, AI-assisted symptom guidance, and a responsive user interface integrated with the Gemini API.
React.js, Node.js, Express.js, REST APIs, MongoDB
Developed a full-stack cryptocurrency dashboard using live REST APIs to retrieve and display dynamic market data with modular, reusable React components.
Python, TensorFlow, Keras, CNN
Engineered a CNN-based medical image classifier utilizing transfer learning and data augmentation to accurately classify dermoscopic images as benign or malignant, served via an interactive web interface with confidence scores.
Python, NLP, React.js, Node.js
Designed an NLP-powered conversational search interface enabling natural language book inquiries, live availability checks, and personalized recommendations integrated with a full-stack backend.
Python, OpenCV, TensorFlow
Implemented a real-time image classification pipeline utilizing OpenCV for live camera capture and TensorFlow for freshness inference optimized for low-latency supply chain quality control.
Have a project in mind, an opportunity, or want to connect? Reach out directly via email or phone.
Email: harsimranr11@gmail.com
Phone: +91 9878643092