Anik Dey
ML PhD at Purdue University, Amherst x Columbia’25 (Memorial Scholar and Data Science Institute Scholar), Knight Hennessy Scholar Semifinalist 2025 (top 500 out of 10000)
- Role
- Research Intern at Columbia Engineering
- Location
- Amherst, MA, US
- LinkedIn followers
- 500 followers
About Anik Dey
ML PhD, interested in LLM reasoning and safety, machine learning and quantitative…
Experience
Research Intern
Aug 2023 — Present · New York, NY, US
Improving Mathematical Reasoning Via Code Interpretation: 1. Generated synthetic, dynamic C trace dataset modeling branch and line-aware program execution.2. Fine tuned various LLM models on the trace dataset and tested on Big Bench Hard tasks, improving model accuracies in mathematical reasoning. Co-authored paper.Perceived-Actor Model for Robotic Image Data Manipulation: 1. Optimized the Perceiver-Actor architecture for high-dimensional, robotic image data, integrated a spatio-temporal convolutional feature extraction layer using a 3D CNN to encode spatial hierarchies and temporal dynamics within the image data, improved the model’s object trajectory and interaction task accuracy by 30%.2. Designed and tested a feedback loop system that recalibrated the model\'s parameters in real-time, based on input data complexities.Transformer Variants on Different Image Datasets:1. Conducted a comprehensive comparative study of Performers and Linformers against traditional Transformers on MNIST, CIFAR-10 and CIFAR-100 datasets, employing various depths and testing Performer variants with positive random features and deterministic mechanisms (ReLU).2. Executed training from scratch and from pre-learned checkpoints, achieving 97% accuracy, with speed tests confirming 40% faster processing.
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