Amardeep Kumar
I love maths, coding, and Machine Learning. I work at the intersection of AI research and engineering — tackling reasoning, alignment, and hallucination in LLMs across visual question-answering, spatio-temporal reasoning, code-switching, and multi-modality.
Currently a Software Engineer at DoorDash. Recently graduated from NYU Courant (MS CS, AI specialization). Previously built ML infrastructure at Instabase and Walmart, interned at PineGap.ai, and participated in Google Summer of Code. Published at EMNLP, ACL, and CIKM.
One day I want to start a profitable and calm business solving niche AI research problems.
Featured
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How We Cut ML Inference Latency by 40% on Kubernetes
The architecture behind our async model serving platform at Instabase — async workers, RabbitMQ, multi-level caching, and sticky routing to cut inference time by 40%.
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GupShup: Summarizing Code-Switched Conversations
Our EMNLP 2021 paper on abstractive summarization of Hindi-English code-switched conversations — introducing the GupShup dataset.
Recent Posts
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Fine-tuning Phi-2 with DPO on the Anthropic HH Dataset
Fine-tuning Microsoft's Phi-2 using Direct Preference Optimization (DPO) on the Anthropic Helpful and Harmless dataset with LoRA and 8-bit quantization.