Mukesh Arambakam

Dublin · Ireland · (+353) 89 4960 450 · amukesh.mk@gmail.com

A Senior Machine Learning Engineer, currently working with Natural Language Processing and Neural Machine Translation, who is also a Graduate with a Master’s Degree in Data Science. I am proficient in Machine Learning, Natural Language Processing, Machine Translation, Data Analytics, Statistical Modelling, Deep Learning, and Artificial Intelligence . I also have 2 years of work experience as an Application Engineer, who is skilled at design, development and testing of cross-platform applications.

Experience

Senior Machine Learning Engineer (IC3)

Oracle Corporation

  • Involved in the Research and Development of techniques used in Dataset Analysis, Data Cleaning and Engine Evaluation
  • Responsible for various stages of development in the NMT Pipeline: Data Cleaning, Model Training and Evaluation
  • Improved the creation of user-generated data for Model fine tuning post training

Nov. 2020 - Current

Data Scientist Intern

AugRay Private, Ltd.

  • Part of a global team of 6, where we materialised an Augmented Reality based application.
  • Refined the image and video preprocessing procedure for the application.
  • Part of the Research and Development team instrumental in shaping the Convolutional Neural Network.

July. 2020 - Oct. 2020

Applications Engineer (IC-2)

Oracle Corporation

  • Coordinated with multiple global teams, business analysts and stake-holders to develop a cross-platform application
  • Lead developer in overhauling the project security flow of the Product and introduced 2 new features.
  • Implemented a micro-service which communicates between tenants in a Multi-Tenant Architecture.
  • Mentored 10 junior team members, provided insights about the product’s internal working and underlying tools.

June. 2019 - Aug. 2019

Applications Developer (IC-1)

Oracle Corporation

  • Certificate of Appreciation: For outstanding contribution to Prime Projects Product Development.
  • Assumed a pivotal role in the development of 3 core features of the product along with my team members.
  • Optimized the performance of an internal module's filter framework with the use of dynamic SQL queries by 30\%.
  • Improved the performance of search framework by 20\%, using query optimization techniques.

July. 2017 - May. 2019

Education

Trinity College of Dublin

M.Sc. in Data Science
Relevant Course Work: Machine Learning, Data Analytics, Artificial Intelligence, Optimisation Algorithms for Data Analysis, Knowledge and Data Engineering, Text Analysis, Applied Statistical Modelling, Data Visualisation.

GPA: (expecting 1:1)

Thesis: Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries.

FMLearn, an application which allows the exchange of meta-data about machine learning models and data for the purpose of meta-learned algorithm selection and configuration. Checkout: fmlearn.herokuapp.com for further details about this.

2019 - 2020

Amrita School of Engineering

B.Tech. in Computer Science and Engineeringm
Relevant Course Work: Data Structures, Design and Analysis of Algorithm, Pattern Recognition, Data Mining and Warehousing, Database Management Systems, Software Engineering.

CGPA: 8.37/10.0

2013 - 2017

Publication

Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries

7th ICML Workshop on Automated Machine Learning (AutoML)
About: “Federated Meta-Learning” (FML), a concept that allows everyone to benefit from the data that is generated through software libraries including machine learning and data science libraries. I have built FMLearn, an application developed using the client-server model, which allows the exchange of meta-data about machine learning models and data in itself for the purpose of meta-learned algorithm selection and configuration.

Co-Author: Joeran Beel

Check here to learn more: fmlearn.herokuapp.com

You can download the paper or read it online from the links below:

June 2020

Skills

Programming:

Python, Java, R, JavaScript, C++, SQL, PL/SQL
Frameworks

Hibernate, Spring, Spring Boot, Mockito, RESTful APIs, Kafka, Zookeeper, Flask, Express
Web Technologies:

React, Node.js, Angular, jQuery, HTML, CSS, Bootstrap
Machine Learning Libraries:

Scikit-learn, PyTourch, TensorFlow, Keras, NumPy, Pandas, Matplotlib, OpenCV, NLTK
Operating System:

Windows, Linux
Other Technologies:

git, Docker, Jenkins, MySQL, MongoDB, Power BI, Tableau

Projects

Image and Audio Captcha Breaker
CNN Based Audio and Image Captcha Breaker Project
Body Area Network
Body Area Network - on Amazon AWS-IoT cloud9 instances.
Connect 4 AI
A multi-agent implementation of the game Connect-4 using various algorithms
Twitter Sentiment Analysis
Opinion poll where tweets were considered as an indicator to predict election results.
Flappy Bird - AI
Python Flappy Bird AI (with NEAT)
Other Projects
Checkout my other cool projects

Interests

Apart from being full time working professional, I enjoy most of my time being outdoors playing basket ball or cycling.

When forced indoors, I read a lot of comics or manga, I also watch a lot of anime and follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef.


I spend a large amount of my free time exploring the latest technology advancements in the Machine Learning world.