V
Offline
Varun Jewalikar
Mentor
This mentor has passed the Codementor approval process and is available for hire.
(64 reviews)
US$15.00
For every 15 mins
79
Sessions/Jobs
ABOUT ME
Senior Engineer, high scale systems & data expert. 15yrs+ experience.
Senior Engineer, high scale systems & data expert. 15yrs+ experience.
Hi! I love Java, Python, Javascript, distributed systems, large scale systems, machine learning, natural language processing and image processing. My work has been featured on the AWS blog (https://tinyurl.com/chaosrunner), The Guardian (https://tinyurl.com/topvocab) , Billboard.com (https://tinyurl.com/topprofane) and other print/digital publications. I also own Amazon's chaos testing framework called AWSSSMChaosRunner (https://github.com/amzn/awsssmchaosrunner).
I am a Senior Engineer at Amazon's Prime Video and have worked on scaling backend systems to millions of transactions-per-second, utilising various cloud technologies and primarily working with Java, Kotlin and Javascript. This involves image/audio/text processing systems, creating & managing databases/APIs for mobile/web applications and everything in between. I have 15yrs+ experience with backend engineering, cloud tech, 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!
Hindi, Italian, Spanish, English
London (+01:00)
Joined July 2016
EXPERTISE
10 years experience
Have created and scaled backend systems utilising AWS to millions of transactions per second.
Have created and scaled backend systems utilising AWS to millions of transactions per second.
5 years experience | 31 endorsements
Python is my goto language for most tasks.
I have used Python to write machine learning algorithms, do complicated analysis of images/t...
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.
3 years experience | 1 endorsement
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 per...
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.
2 years experience | 1 endorsement
I have published data analysis studies (analysing millions of data points) which have gone viral and been featured in The Guardian, CNN, ...
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.
4 years experience | 8 endorsements
I love to solve real world problems with machine learning. I have used support vector machines, decision trees and neural networks workin...
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.
2 years experience | 1 endorsement
I have used Javascript and nodejs to do front end development for web pages which have seen 1000+ users in realtime without any hiccups. ...
I have used Javascript and nodejs to do front end development for web pages which have seen 1000+ users in realtime without any hiccups. Coupling various libraries using npm and controlling the dev/build processes using webpack has allowed me to make clean/responsive webpages quickly. Most of these webpages were for visualizing complicated datasets.
I also turn to Javascript on the backend sometimes for tasks which need async capabilities which can't be easily achieved with Python.
2 years experience
I worked at Musixmatch, the most downloaded lyrics app and the largest lyrics provider worldwide, as a Research Engineer.
My main proje...
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.
REVIEWS FROM CLIENTS
(64 reviews)
Gerald McCollam
February 2017
well done!
Gerald McCollam
February 2017
Well done!
Gerald McCollam
January 2017
Comes to each session very well prepared!
Gerald McCollam
January 2017
Excellent knowledge of Python, very patient and comes well prepared to each session.
Brian Maimone
December 2016
Excellent data science mentor.
Brian Maimone
December 2016
Excellent data science resource.
Stanley Ndagi
November 2016
He's very clear in explanation. He knows his stuff!
Damon
November 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.
Sid Rampally
November 2016
Great Teacher! Walks through your problem and problems similar to it as well!
Richa Bharti
October 2016
He explains things well with examples and has deep knowledge of the topic
By using Codementor, you agree to our
Cookie Policy.