India AI Impact Buildathon National Recognition
Recognized as a Top 2% National Finalist among more than 40,000 participants.
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Recognized as a Top 2% National Finalist among more than 40,000 participants.
Working on language modeling architectures aimed at improving parameter efficiency, memory use, and inference speed.
Building an AI-powered evaluation pipeline using OCR, semantic similarity, and transformer-based scoring under academic guidance.
Led technical outreach and organized AI-focused sessions around tooling and integration.
Completed credentials including Google Prompting Essentials, Neo4j Certified Professional, and LinkedIn Learning programs in Generative AI and communication.