Aditya Bhardwaj

 
Aditya Bhardwaj
Software Development Engineer
Skills
C#
Python
R
SQL
Matlab
Apache Spark
JavaScript & TypeScript
Angular
Java
Kubernetes
Argo Workflows
AWS

As a learner, I feel the knowledge shared is knowledge learned. I always look forward to solving real-world problems that can help the mass. I am always searching for a new challenge in life, so if you feel your challenge will need someone like me, feel free to contact me.

Education
North Carolina State University
Master of Science in Computer ScienceGPA: 3.9

Courses: Design and Analysis of Algorithm, Artificial Intelligence, Machine Learning, Data Driven Decision Making, Internet Protocol, Business Intelligence, Computer Graphics, Software Engineering, Operating Systems

Guru Gobind Singh Indraprastha University
Bachelor of Technology in Computer Science and EngineeringCPI: 76.4

Coursework: Database Management Systems, Linux, Software Engineering, Software Testing, Data Structures, C++, Java.

Work Experience
Amazon
Software Development EngineerFeb 2020 – Present

Started a new role as SDE with AWS Single Sign-On team. 

Software Developer
IBMFeb. 2018 – Feb. 2020

* Develop full-stack applications for cross-platforms using current technologies (Angular, React, Blockchain, NodeJs etc)- Active participation in discussion while architecting the application and framework.- Implement the current Software Engineering practices of such as Agile, DevOps.- Actively participate in the learning of new technical and interpersonal skills.

* Perform and report analysis over big-data, real-time data using ML and AI.- Utilize Machine Learning algorithms (such as Regression, SVM, Clustering etc.) and develop application in languages such as Python, R to classify, predict and take decision based on the data.

* Analyze and report the findings related to performance, relatability and reliability of new technologies.- Implement and present POCs on the new technologies.

* Actively involved in open-source and other internal projects to make contributions in emerging technologies (such as IoT BlockChain, Cloud, OpenWhisk etc.)

ColdLogic LLC – PAAT INC
Software Engineering InternMay 2017 – August 2017

My work as an intern involves me to look into various prospects of Web Development, Software Development, and System Automation in order to develop effective solutions for the company.As part of the Web Development project, I am responsible for optimizing the MySQL database and improvise the cart portal for the e-commerce site of the company. I am to constantly write and execute scripts for automating various processes in the development and setup environment as part of my intern job.

CIIGAR Lab at NC State University
Graduate Research ProgrammerJanuary 2017 – May 2017

At CIIGAR Lab, I was involved in a research on behavioral pattern of Canines under the guidance of Dr. David Roberts and funded by National Science Foundation(NSF). My work involved the development of modules for the application written in C# and follow the MVVM architecture. The modules developed/enhanced by me includes the Minimal UI for the application, developing library for the Pan-Tompkins algorithm and other similar algorithms for the purpose of heart-beat detection.

CodePixel
Technology ConsultantDecember 2014 – July 2016

As Technology Consultant with CodePixel, I was part of a small team developing new solutions on emerging technologies such Microsoft Kinect, IOT etc. My work involved R&D of viable products involving utilizing such technologies and expertise in the Cloud development. As part of self-driven Start-Up Environment, I have had multi-tasked various things at hand involving managing Database, writing APIs’ on clouds such as Microsoft Azure and AWS. Apart from development, my job required me to do training both at the corporate and educational level in technologies and development environment such as Windows 10, C#, Microsoft Azure, Kinect and Android Development. The colleges where I have had the chance to deliver speaks involves various IIT campuses including IIT Bombay, IIT Delhi, IIT Kanpur, IIT Kharagapur and IIT Roorkee.

Chander Dhall Inc
Software Developer InternAugust 2013 – January 2014

As a part of Intern program at Chander Dhall Inc, I learned the knit & grits of professional work, development and project management under the guidance of my mentor Chander Dhall. I have had the privilege of working under him on a Windows Application where I was involved in every phase of the application building.

My work in the team involved me to lead the team of 3 people and manage work flow between every member of the team. I was involved in development of modules like login-portal, payment portal and UI of the application. We as a team leveraged several 3rd Part APIs’ for the development of modules and the application.

BlackBerry Ltd.
Software Developer InternJune 2013 – August 2013

My internship with BlackBerry involved me in BlackBerry Z10 application development which should be a Build for BlackBerry certified as a mark of the compatible application on BlackBerry OS 10. I was able to learn application development on an entirely new development environment using C++ and QML. It involved learning and implementing in the application being developed under a continuous improvement cycle of product development. Under the guidance of my mentor Dr. Ranbijay Kumar, I was able to develop a fine product which got me reward as a BlackBerry Z10 Limited Edition phone.

Council of Scientific and Industrial Research – HRDG
Application Developer Intern – WindowsMay 2013 – July 2013
Projects
Python, Bayesian Regression,
Predicting Bitcoin Price Variations using Bayesian Regression
  • This project focuses towards predicting the price variations of bitcoin, a virtual cryptographic currency.
  • These predictions could be used as the foundation of a bitcoin trading strategy.
  • The machine learning techniques such as Bayesian Regression have been utilized in the project for the prediction model.
Python, Naive Bayes, Logistic Regression, NLP, Doc2Vec
Supervised Learning Techniques for Sentiment Analytics
  • This project focus towards sentiment analysis over data from IMDB and Twitter to classify data (i.e. Tweets or Movie reviews) into positive or negative.
  • In this project, two techniques have been used: 1. NLP technique, 2. Doc2Vec
Apache Kafka, Python
Twitter Sentiment Analytics using Apache Spark Streaming APIs and Python
  • This project focuses towards Sentiment Analysis on live Tweets feed on Twitter using Apache Kafka server which is used for fetching the tweet stream and feed into the python application.
  • The python application then works on the tweets and provides a basic analysis on Positive and Negative sentiments in the Tweets.
Apache Spark, Python, IPython, Jupyter
Music Recommender System using Apache Spark and Python
  • Suggesting different songs or musical artists to a user is important to many kinds of music streaming services, such as Pandora and Spotify.
  • This project focuses towards recommending top artists to a user on basis of his music streaming history and artists available in the database.
  • This project can be used in various recommendation systems like Netflix etc.
Python, R, OpenRefine, SQLite
Predictive Analysis in Soccer: Player Replacement
  • Employed various Data Cleaning techniques to clean and sample the data.
  • Use Data Mining Techniques to suggest 5 replacement players to the teams in categories such as Attacker, Defender, and Mid-Fielder on basis of Team’s performance through the season in respective fields.
  • Use of K-Means clustering algorithm, t-SNE dimensionality reduction technique and Decision Tree methods.
C#, Visual Studio, Microsoft Azure, Office 365 Api, Skype Api
Riaz
  • Developed modules like searching people, and improvised run time performance of the project.
  • Leveraged Apis’: Office 365, Skype Apis’, Microsoft Azure, Facebook Apis’ for Windows 10 to develop modules in the project.
C#, Kinect
Kinect Medical Kiosk
  • In the Medical field, with the advancement of technology, it is imperative to make learning and working experience more interactive. How to make such a thing entertaining too? The answer is Kinect and an Xbox console!
  • The project focuses on making a medical fun application which makes learning about diseases and their cures using a Kinect and an Xbox.
  • Such an application have its implications at medical facilities and institutions where people can learn a thing or two sitting ideal for a next appointment in the waiting area.
  • One extension of the project included the use of Kinect by Doctors to make a patient and his care understand what he is suffering from and what kind of surgery he might go for.
C#, Visual Studio, Kinect
Kinect Jigsaw Puzzle
C#, Visual Studio, Kinect for Windows, RC Car, IoT, Arduino
mSENSOBOT'Z – Human motion gesture controlled RC Car

Project Summary

Certifications
Microsoft
MS: Programming in HTML5 with JavaScript and CSS3

Microsoft
MCPS: Microsoft Certified Professional