MS CS @ NYU Courant | MLE
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pico-llm
October 29, 2025 – Present
Implemented and compared three autoregressive language models—k-gram MLP, LSTM, and Transformer with self-attention and KV-cache decoding—in PyTorch. Built an end-to-end training and inference pipeline using next-token prediction and nucleus (top-p) sampling to evaluate generation quality and efficiency.
View ProjectAlgoCompare
July 27, 2022 – May 28, 2025
Implemented Apriori, FP-Growth, and Eclat algorithms to compare frequent itemset mining performance across large datasets; evaluated runtime efficiency under varying support thresholds.
View ProjectICTDepartmentPortal
March 16, 2022 – September 25, 2022
ICTDepartmentPortal — GitHub repository
View ProjectSIGNIFY
January 21, 2022 – March 4, 2022
This project aims to bridge the gap between us and the hearing-impaired people by introducing an inexpensive Sign Language Recognition technique which will allow the user to understand the meaning of the sign without the help of an expert translator.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from LLMs to web development, suggests a broad interest, but also a potential lack of deep specialization in a single area relevant to a senior Data Scientist role. The absence of team projects or professional experience makes it difficult to assess collaboration or professional work ethic.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.