Category: machine learning

Efficiently writing large objects to Azure Blob Storage – JSON, Compression, Caching, Streaming in .Net

Minhaz

Minhaz

Software Engineer II at Microsoft
I work as Software Engineer for Microsoft Azure Production & Infrastructure Engineering team. My day to day work revolve much around distributed systems and machine learning. I am excited to explore areas like Natural Language Processing and Knowledge Bases and see if they can help solve bunch of problems yet to be commercially solved.
Minhaz
Azure Storage Blob Azure Storage Blob is an Azure Storage offering that allows you to store GigaBytes of data in from hundreds to billions of objects in hot, cool, or archive tiers, depending on how often data access is needed. Store any type of unstructured data—images, videos, audio, documents and more—easily and cost-effectively. Reference: https://azure.microsoft.com/en-in/services/storage/blobs/ In the

Bot to help with finance – BRB: BenRickertBot, Introduction

Minhaz

Minhaz

Software Engineer II at Microsoft
I work as Software Engineer for Microsoft Azure Production & Infrastructure Engineering team. My day to day work revolve much around distributed systems and machine learning. I am excited to explore areas like Natural Language Processing and Knowledge Bases and see if they can help solve bunch of problems yet to be commercially solved.
Minhaz
I recently started to invest in Mutual Funds with two primary purpose – saving tax with ELSS and getting profit from some other short term investment. While SIP is a simple, proven way to invest, I like to believe it has to be smarter than this. So the problem statement is: I want to maximize

Experiment : Supervised learning model to classify a Github Issue as enhancement or bug based purely on issue title

Minhaz

Minhaz

Software Engineer II at Microsoft
I work as Software Engineer for Microsoft Azure Production & Infrastructure Engineering team. My day to day work revolve much around distributed systems and machine learning. I am excited to explore areas like Natural Language Processing and Knowledge Bases and see if they can help solve bunch of problems yet to be commercially solved.
Minhaz
Quick Summary: I Mined more that 1,00,000 Issue data from Github open source repositories. Mined data included { issue title – string}, {issue description – paragraph } and {labels – discrete strings}. Most of them were enhancement or bug. So started with a simple classifier which classifies an issue as Enhancement or Bug based on issue title.