Open Source For You — December 2017

Open Source India 2017

Divyanshu Vermasenior engineering

manager, Intel R&D

Asheem Bakhtawarregional director,

India, Middle East andAfrica, 2ndQuadrant

India Pvt Ltd

Balaji Kesavarajhead marketing,

India and SAARC, Autodesk

Dibya Prakashfounder,

ECDZone

Janardan RevuruOpen Source

Evangelist

Dhiraj Kharenational alliance

manager, Liferay India

Obstacle Avoidance Robot with Open
Hardware (by Shamik Chakraborty, Amrita
School of Engineering)
This workshop explored the significance of robotics in Digital
India and looked at how Make in India can be galvanised by
robotics. It also propagated better STEM education for a better
global job market for skilled professionals, and created a space
for participants to envision the tech future.

Microservices Architecture with Open Source Framework
(by Dibya Prakash, founder, ECD Zone)
This workshop was designed for developers, architects and
engineering managers. The objective was to discuss the high-
level implementation of the microservices architecture using
Spring Boot and the JavaScript (Node.js) stack.

Hacking, Security and Hardening Overview for Developers

• on the Linux OS and Systems Applications (by Kaiwan
  Billimoria, Linux consultant and trainer, kaiwanTECH)
  The phenomenal developments in technology, and especially
  software-driven products (in domains like networking,
  telecom, embedded-automotive, infotainment, and now IoT,
  ML and AI), beg for better security on end products. Hackers

are currently enjoying a field day and are only getting better at

it, while product developers lag behind.

This workshop was geared towards helping participants

understand where software vulnerabilities exist, while

programming and after; OS hardening techniques; what tools and

methodologies help prevent and mitigate security issues, etc.

Tools and Techniques to Dive Into the Mathematics of

Machine Learning (by Monojit Basu, founder and director,

TechYugadi IT Solutions and Consulting)

In order to build an accurate model for a machine learning

problem, one needs better insights into the mathematics

behind these models. For those primarily focused on the

programming aspects of machine learning initiatives, this

workshop gave the opportunity to regain a bit of mathematical

context into some of the models and algorithms frequently

used, and to learn about a few open source tools that will

come in handy when performing deeper mathematical analysis

of machine learning algorithms.

By: Omar Farooq

The author is product head at Open Source India.

26 | december 2017 | OPeN SOUrce FOr YOU | http://www.OpenSourceForU.com