Nilesh Patil

AI systems & applied research. Head of AI at DreamStreet, building compliance-aware AI architecture for SEBI-regulated investor and trader workflows. Previously led applied AI research at Dream11 and ran a Columbia University research collaboration.

Particularly interested in AI harness design, developer productivity, and turning emerging model capabilities into reliable workflows and products.

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Recent posts

• Distributed K-Means Clustering in Python

  May 20, 2020 · Implementing scalable k-means clustering using distributed computing frameworks

• Galactic Morphology using Deep-Learning

  July 16, 2017 · Training a deep neural net to understand galactic structure

• Characterizing & analyzing networks : NYC taxi data

  March 15, 2017 · Analyzing a real world graph : transportation network in NYC

• Working with numpy

  March 4, 2017 · Building a fully connected neural network in python

• Human activity recognition

  February 16, 2017 · Activity detection from sensor data

• Visualizing distributions

  January 15, 2017 · Common visualization examples for distributions

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