I have developed large scale image/audio/text processing systems, created & managed databases/APIs for mobile applications and everything in between. I have 4yrs+ experience with backend engineering, nlp, signal processing and image processing. I can help you with any of these topics.
I also love hackdays and have attended 20 hackdays in Europe in the last couple of years and collaborated with beginners/experienced developers on different kinds of projects.
Thanks for reading and hope to talk to you soon!
Python is my goto language for most tasks.
I have used Python to write machine learning algorithms, do complicated analysis of images/text/audio data, manage the backend for an app (db management and microservices), write many RESTFUL APIs, interconnect many APIs (Google analytics, Spotify, Slack, Duolingo,Google Maps, etc) and write web scrapers.
It is easy to read, has an amazingly large collection of very well written/maintained packages and gets me from 0 to 100 in a matter of hours rather than days or months.
I have published data analysis studies (analysing millions of data points) which have gone viral and been featured in The Guardian, CNN, NPR, Mtv and other print/digital publications. Many of these have hit the front page of Reddit as well.
I believe that a simple and insightful analysis of data supported by a visualization and a crisp explanation can bring forth many hidden and even surprising aspects of data.
I love to solve real world problems with machine learning. I have used support vector machines, decision trees and neural networks working as a Researcher with Yamaha Music and Musixmatch. These projects were built in Python using scikit-learn and related libraries. Some examples - automating phonetic segmentation of singing voice in audio files, prediction of song mood using audio/lyrics, detecting singing voice in songs, etc.
I am constantly trying out and reading about new algorithms and models that advance the state of the art in machine learning.
I worked at Musixmatch, the most downloaded lyrics app and the largest lyrics provider worldwide, as a Research Engineer.
My main projects were based on using state of the art algorithms on this lyrics database which spanned many languages. Some of these projects were mood prediction using lyrics and audio, recommendation system based on similarity analysis of lyrics, filtering 'bad' lyrics, detecting instrumental songs using audio, etc.
Many of these projects are integrated in the Musixmatch apps or on the backend to deliver a unique and clean experience to the users.
I love the challenge of writing algorithms to extract insights from structured and unstructured text.
I have been using various AWS services in production for over 3 years. All the servers I use are EC2 based. The ease of setup/use and performance of these servers continues to amaze me.
Most of my Python based APIs are hosted using Elastic Beanstalk. This allows me to easily scale the APIs based on incoming requests and takes a lot of sys-admin work off my plate.
Overall, learning to interconnect and use various AWS tools has been a game changer for me as a developer and also for the various companies where I have worked.
Over the last two years convolutional neural networks and deep learning have immensely advanced the state of the art of image recognition, language processing and various other research fields. In the last year or so we have seen various products - google photos/translate, Prisma, MSQRD, etc - putting these advances in the hands of millions of users.
In my latest project, I have been fortunate to learn and implement a CNN based system for categorizing images and an image to image search. This system uses transfer learning over the famous googlenet model. It is in the beta testing phase and will soon be released as a part of a shopping app.
I love the extreme flexibility and speed of MongoDB (nosql dbs in general). This is my preferred database for most tasks when I need to get up and running quickly.
Having said that I have also optimised/managed MongoDBs in production settings and learn new features almost each day.
He's very clear in explanation. He knows his stuff!
Nov 19, 2016
Great instruction on installing and setting up virtual environments for python on OSX. I would definitely ask for his assistance again if I ran into problems.
Nov 14, 2016
Great Teacher! Walks through your problem and problems similar to it as well!
Nov 07, 2016
He explains things well with examples and has deep knowledge of the topic
Oct 26, 2016
The best for machine learning, neural networks, and deep learning, both in theory and applied in python.
Oct 16, 2016
I'm very greatful to Varun Jewalikar for a great lesson. Hs is very helpful and knowledgeable tutor who helped me to work through my university natural language processing task, he also shared his hands on experience in python and always checked if I'm grasping the concepts. Thanks a lot!
Sep 30, 2016
Aug 30, 2016
Aug 28, 2016
Continues to be great. Both code and theory for ml/dl, best Codementor experience.
Aug 25, 2016
Aug 21, 2016
Great - continues to be my best experience on Codementor. I have a steep learning curve, but he is great at overall lesson plan + making sure I have fundamentals.
Aug 19, 2016
I will definitely use Varun's help again. He is extremely skilled in Machine Learning models and is a top grade expert
Aug 16, 2016
Varun explains everything really well and helped me to understand what I thought to be a complex problem. Very friendly, would definitely recommend.
Aug 14, 2016
This mentor is great. I will work with him in the future.
Aug 12, 2016
Old sudo'd node installs were clogging my system, and Varun helped me sort it all out.
Aug 11, 2016
Provided rapid help via chat. honed right in on the issue from a long error message, to resolve the issue.
Aug 11, 2016
Excellent advice for anyone going into Data science or the Machine Learning realm
Aug 10, 2016
Varun was extremely helpful and clearly put a lot of thought into answering my question.
Aug 09, 2016
Helped me alot through my app. Great person to hire.
Aug 08, 2016
Varun is top notch and definitely knows his ways around Data science models