Research Intern'24 @ ACM IKDD UpLink IIT Kgp • B.Tech CSE @ NIT Durgapur'25
• Full Stack Developer • Deep Learning Enthusiast
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Under the guidance of Prof. Animesh Mukherjee at IIT Kharagpur, I proposed and implemented a novel model to Mitigate Bias in Automatic Speech Recognition (ASR) Systems by leveraging Large Language Models (LLMs) and Prompt Engineering. This approach led to a significant 51.04% reduction in bias, demonstrating the model's effectiveness in enhancing the fairness and accuracy of ASR systems.
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🚀 Designed and Deployed Browser Extension, CF FetchCodes, which fetches Accepted (✅) Codes of user's CodeForces Friends for a given problem on the platform, using HTML, CSS, JavaScript, available in Chrome Web Store and Firefox Ad-ons Store.
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⚙️ Engineered DNS Based Ad Blocker, which blocks Ads in any device connected to a specific router, using Python and Socket Programming incorporating UDP protocols. Achieved a 50% reduction in ad traffic, improving network performance for over 150 connected devices on a specific router.
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I am collaborating on a team project on Audio Classification UrbanSound8K using customized Convolutional Neural Network (CNN) under Prof Subrata Nandi at NIT Durgapur.
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💬 Ask me about Computer Science Fundamentals, Competitive Programming and Deep Learning.
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👨💻 All of my Projects are available at Github.
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📄 Know about my Experiences at LinkedIn.
