Describes my professional experience and projects done in past.

1. Aayush Saxena
Software Developer
Landmark Tower
Singapore - 169878
+65-84553727
aayushsaxena15@gmail.com
LinkedIn Profile
Career Objective
To inculcate strong engineering and technological skills as a successful Computer Engineer with
focused work ethics and ability to deepen my knowledge-base and contribute to significant
software development.
Education
2012–2016 B.Tech, Computer Science, CGPA 8.2/10.
International Institute of Information Technology, Hyderabad, India
2011–2012 Higher Secondary School, Percentage 91.4.
Neerja Modi School, Jaipur, India
2009–2010 Secondary School, CGPA 9.8/10.
Neerja Modi School, Jaipur, India
Work Experience
June 2019 –
Present
Machine Learning Engineer, Jacobs, Singapore, Machine Learning.
Built an ETL pipeline in noSQL (MongoDB) to fetch data, store in database, build and deploy models
using Hadoop and Docker.
Used Deep Neural Networks and time series forecasting to predict the parameters for auto-calibration of
plant data.
Used Data Mining to extract useful information from large amount of financial data in json and csv
files. Used Tableau to produce dashboards which gave product insights to our clients and allowed them
to have better sales and accuracy.
Built REST APIs to demonstrate the model’s performance to our clients.
Developed KNIME workshop to showcase my project’s achievements to the entire organization.
Jan 2018 –
May 2019
Software Research Engineer, Singapore Management University, Singapore, Machine Learning.
Built a reinforcement learning agent using deep Q-network algorithm to win Pacman game efficiently.
Used Generative Adversarial Networks to improve it further and showed that it performs better on a
wide range of domain. The training was done using Machine Learning stack on Amazon Web Services.
Researched on Monte Carlo Tree Search nets to improve reinforcement learning agent’s efficiency.
Built a user interface demonstrating optimised strategies for our client using Django.
Researched on multi-agent systems to provide guidance for matching resources to have supply at the
right locations at the right time to serve demand. One of the authors for demonstration at AAMAS
2019 with the title ’RE-ORG: An Online Repositioning Guidance Agent’.
Aug 2016 –
Nov 2017
High Frequency Trading Developer, Silverleaf, Mumbai, India, Machine Learning.
Performed back-testing using quantconnect platform which was useful in figuring out stocks insights
for further trade analysis. Also, handled large stocks data using Hadoop efficiently and monitored the
performance of various strategies.
Built an end to end REST APIs connection for data transfer with one of our clients using vibe.d (dlang).
Also, implemented entity recommendation system using collaborative filtering technique which recom-
mends stocks of different organizations based on their history.
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2. May 2015 –
Jul 2015
Software Engineering Intern, MAQ Software, Hyderabad, India, Web App Development.
Built an integrated desktop application to reflect customer insights for the Microsoft sales teams.
Worked on retrieving data and building the user interface using SSIS, TSQL, JavaScript, HTML5, CSS
and Visual Studio Express for Windows 8.
Other Projects
February
2014
Predicting a Biological Response, Machine Learning and Kaggle.
Aimed at building as good a model as possible so that we can relate molecular information, to an actual
biological response. Used machine learning algorithms like pipeline, random forest classifier and logistic
regression to find out the biological response.
March 2014 Accelerometer Biometric Competition, Machine Learning and Kaggle.
Investigating the feasibility of using accelerometer data as a biometric for identifying users of mobile
devices. A file of test questions was provided. Used machine learning algorithms like random forest
classifier and logistic regression to find out whether the accelerometer data came from the proposed device.
August 2014 Backgammon AI, Artificial Intelligence.
Implemented a 2-ply expectimax algorithm to play Backgammon. Used various heuristics (Expectimax
Search Trees) to improve the efficiency. Used strategies like Holding Game and Blitz to increase the
chances of winning the game.
Jan 2015 Resume Summary, Cloud Computing.
Aimed at handling resumes present in a database such that one can filter out specific resumes based on
various search query inputs using Hadoop and web2py. The web2py app allows applicants to upload their
resumes and filter out resumes based on keywords and also to view filtered resumes.
April 2014 Single-user DBMS, Database Systems.
Built single-user DBMS that can execute certain simple SQL queries like select, create etc. Implemented
in C++. Used dynamic programming to efficiently join tables and expression trees for query optimization
Link to my projects
Technical Skills
Programming Python, C, C++, JAVA, SQL, Bash Matlab, Data Structures & Algorithms, MySQL
Web or App
Development
HTML5, CSS, Javascipt, Joomla, Drupal
Framework Amazin Web Sevices (EC2), Docker, Kubernetes, Web2py, Django, vibe.d
Other Linux, Git, Bitbucket, Vim, Sublime
Certificates and Achievements
Achieved 28th rank out of 700 teams at Predicting a Biological Response (Kaggle Competition).
Blockchain Basics and Smart Contracts by University at Buffalo and The State University of New York
Achieved Dean Merit List Award for third and fourth semesters in college.
Solved 136 problems on Sphere Online Judge (SPOJ). World Rank 3416.
Rated Specialist at Codeforces (Points: 1434) and rated 2000 at Codechef.
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