Highly motivated machine learning engineer with a strong background in independent research using an intuitive, web-based architecture. Demonstrates expertise in machine learning and data analytics, consistently leveraging data to enhance user experience. Conducts thorough research to develop innovative problem-solving approaches, creating prototypes to assess viability and successfully deploying applications into production. Generates valuable insights that expand customer consciousness.
• Generative Adversarial Networks (GAN) for Image Upsampling
Role: Team Member (4) | Technology: Python, TensorFlow/PyTorch
o Developed high-quality image generation using GANs for resampling.
o GitHub: IMAGE-UPSAMPLING-USING-SR-GAN
• thyPodcast (July 2022)
Role: Frontend Developer (5) | Technology: MERN, Firebase
o Created a podcast hosting website, managing database connections and API routes.
• Healthcare Appointment Scheduling System
Role: Developer | Technology: MERN Stack, scikit-learn, Flask
o Designed a system with React frontend and Node.js/Express backend, integrating
predictive analytics with scikit-learn.
■ Participant, Ideathon ,ML Sprint, Amazon ML challenge 2023
■ Lead the team into the semis of Aahavan cricket league (May-2023)
■ Runner-up in Ideathon organized by AI Club
■ 2ND Runner up in All-India Abacus championship
Coding
University rank of 293 on geeksforgeeks platform