Highly motivated and detail-oriented student with a fervent passion for programming and technology. Currently pursuing a degree in Computer Science Engineering with a specialization in AI&ML, showcasing proficiency in languages such as C++, and Python, and expertise in web development and machine learning. Eager to leverage my skills in problem-solving, innovation, and collaborative teamwork to contribute effectively in an entry-level role within a dynamic organization.

• B.Tech in Computer Engineering (AI & ML)
• Expected Graduation: July 2024
• CGPA: 8.0

• BS in Programming and Data Science
• Expected Graduation: December 2026
• CGPA: 7.1

• Subjects: Physics, Chemistry, Mathematics, Computer Science
• Graduation: June 2020
• Percentage: 90%

• TensorFlow Developer Certificate
• Foundational Level Certificate in Programming and Data Science (IIT Madras)
• The Web Developer Bootcamp (MERN)
• HTML, CSS & JavaScript
• Python for Data Science, AI & Development
• Programming for Everybody (Python)
• Design Thinking for Innovation

             

     

     

     

     

• WaterB&B integrates Node.js, MongoDB, and Bootstrap to create an immersive and secure platform for property hosting and reviews.
• The project's focus is on delivering a seamless user experience, with particular attention to secure authentication.
• Engineered with precision, WaterB&B aims to elevate user engagement and foster enhanced interactions within the realm of property hosting.

Keywords: Full-Stack Web Development, Node.js, MongoDB, Bootstrap, Secure Authentication.

• Developed the PubMed200kSolverNotebook intending to construct an NLP model for medical paper comprehension, focusing on a classification problem.
• Took inspiration from the paper "PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts" to utilize its dataset for training the NLP model.
• Successfully implemented the classification model, achieving an impressive accuracy rate of 87% in NLP tasks related to medical abstracts.

Keywords: NLP, sci-kit-learn, TensorFlow, Sequential Sentence Classification, Neural Networks, Artificial Intelligence.

• Engineered and implemented a Food101 image classification model, showcasing proficiency in machine learning and deep learning techniques.
• Optimized model performance through meticulous fine-tuning, resulting in improved accuracy and effectiveness in food category predictions.
• Collaborated on the deployment of the image classifier, ensuring a smooth integration into production systems and practical application of the machine learning solution.

Keywords: Image Classification, Data Science, CNN, Transfer Learning, Machine Learning, Model Optimization, Deployment, Fine-Tuning, Deep Learning.

• 2022: Group Leader-22 (Certificate for POR)
• 2021: Organized and led a successful coding competition
• 2021: Contributed as a valuable member of the hackathon management team