SWE Intern'25 @ Samsung R&D Bangalore • Ex-Research Intern'24 @ ACM IKDD UpLink IIT Kgp • B.Tech CSE @ NIT Durgapur'25
• Full Stack Developer • Deep Learning Enthusiast
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Worked on LLM-based ASR systems, including Gemini Flash and Pro, Qwen Audio, and Whisper, to mitigate gender bias in speech-to-text translation. Achieved a 51.04% reduction in bias by leveraging prompt engineering and employing evaluation metrics such as WER, AWG, and the Kruskal-Wallis test. Additionally, audited bias related to native region, age, and speech rate of speakers.
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🚀 Designed, Developed and Deployed a open-source browser extension, CF FetchCodes, for CodeForces, a competitive programming platform, to access all the accepted programs, written by CodeForces-Friends of a user, on a single click, using HTML, CSS and 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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Developed a system for urban sound classification optimized for offline use on low-end devices like Raspberry Pi and Arduino. Leveraged custom CNN architectures, with feature extraction techniques including MFCC and spectrogram analysis, to ensure efficient and accurate performance on resource-constrained hardware.
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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.
