Nilesh Khetrapal, SecOps Technician at Open Approach, Inc

I am a senior at Champlain College in Vermont. I am a Cybersecurity specialist as well as an MLops specialist. I have been working in the field of Fintech since the age of 16 and Cybersecurity for the past 5 years. While I don't have a lot of experience in the field of MLops but I have been fighting to learn this science for the past 2 years now. In my sophomore year, I had to take a class called intro to Python with Prof. Frank Canovatchel. I had been wanting to get into AI but I did not understand any of it. So for the final project for that class, I decided to make an AI that can differentiate between a drum audio sample and an instrumental audio sample. I found a python library that enabled me to do this with ease. Someone on the internet wanted me to get better as an Engineer and wanted me to create cool stuff, so they put it up on GitHub for free for anyone to use. My goal since then has been to be able to enable another sophomore in Intro to Python to be able to build an AI.
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Recent Posts

Experimental Unsupervised Log Anomaly Detection

Unsupervised log anomaly detection is a technique to detect anomalies in logs and can be more effective than supervised log anomaly detection which requires a lot of labeled data.

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